Watch · 60/100 · medium confidence

FACTSET RESEARCH SYSTEMS INC (FDS) — Council Assessment

🟡 WATCH · Score 60/100 · medium confidence

A genuinely high-quality, capital-light financial data franchise trading at reasonable multiples, but priced near fair value with a credible, unrebutted AI/unbundling bear thesis capping the upside.

As of 2026-06-27. 18 lenses weighed in, 0 abstained. Sources: 6 filings, 15 news, 15 discussion, 1 earnings_call.

360 narrative — news & sentiment digest

FactSet Research Systems (FDS) — Q1 FY2026 Investment Brief

Management Commentary (Earnings Call)

Headline results:

Organic ASV growth accelerated to 5.9% ($2.4B), up 6.6% YoY
Adjusted operating margin: 36.2% (down ~150 bps YoY per management guidance phasing)
Adjusted diluted EPS: $4.51, +3% YoY
FY26 guidance reaffirmed across all metrics (full year)

Growth drivers (Q1):

Expansion with existing clients was the key component; organic growth broad-based across regions (Americas +6%, EMEA +4%, APAC +8%)
Institutional buy-side +4% (asset managers led; hedge funds accelerated); wealth +10% (displacing incumbents)
Deal makers (banking) +6%; market infrastructure +7%
Client count grew to >9,000 (+9% YoY); user base approaching 240,000 (+10% wealth/asset managers YoY)
Retention healthy: 91% by client count, >95% by ASV

Three major wins highlighted:

Warehouse breakaway team → RIA consolidator (preserves originating firm revenue + adds ASV at consolidator)
Global top-10 bank displacement on pricing/reference data (Asia-Pacific expansion)
Major investment manager selecting FactSet Vault as analytics book of record + managed services

AI adoption early but accelerating:

AI products launched in H1 2026 showing >45% sequential user adoption growth
~90% of ASV from proprietary client-facing solutions and proprietary data/tools
Text-to-formula AI agent handling ~35% of formula support queries daily (6 sec vs. minutes for humans)
Clients actively used 1M custom models/screens in past 30 days; hundreds of billions of data points pulled

Management's three strategic priorities (new CEO Sennoke Vishwanathan, ~3 months in):

Commercial excellence
- Sharpening sales execution; analytics-driven prospecting; refreshing pricing/packaging
- Realigned sales incentives to drive new business, cross-sell, and upsell — "already led to faster sales motion and richer pipeline"
- Modernizing sales ops; instituting robust forecasting and productivity tracking
Productivity improvements
- Consolidating legacy tech onto centralized modern platform (reducing developer complexity)
- Data operations ingesting third-party data 10x faster without adding headcount
- Productivity actions funding growth investments while reducing expense growth
Long-term strategy solidification
- CEO states it's "too early" for medium-term guidance, but working "actively on new growth initiatives anchored on content and technology innovation"
- Capital allocation: growth investments first; maintained flexibility for M&A while returning capital to shareholders

Capital allocation:

Share repurchase authorization doubled from $400M to $1B (reflects "conviction in strength of balance sheet")
Q1 buybacks: ~478k shares; $860M remaining capacity
Quarterly dividend: $1.10/share
12-month shareholder returns: $554M (dividends + buybacks)
Gross debt leverage: 1.4x

Margin guidance:

Q2 margins expected to step down due to incremental headcount and tech investments (deliberate, to hit full-year target)
Investments split ~2/3 growth, ~1/3 structural infrastructure
Growth investments in differentiated data (real-time pricing, sector content) and deepened workflows (wealth advisory→home office, managed services, modernized EMS/OMS)

Analyst Q&A highlights:

On competitive positioning vs. big data incumbents & AI startups: Management reiterates proprietary data and workflows are "not disruptable"; clients trialing multiple AI solutions are coming back asking FDS to consolidate; "multiple five-year and seven-year contract renewals from largest clients where AI is key component"
On AI impact on client hiring/headcount reduction: CEO notes "not seeing any real reduction in headcount yet"; banking is actually seeing M&A-driven hiring surge and >100% usage growth in banking AI products; expects consumption growth + headcount growth as clients "put efficiencies back into market share gains"
On organic ASV deceleration risk: Management acknowledges Q1 acceleration but maintains conservative posture; "much of the year still ahead"; pipeline "healthy and diversified" but won't raise guidance early in the year
On proprietary vs. non-proprietary business split: 40% intrinsically linked to client proprietary data + FDS models/analytics; 50% proprietary/enriched data + tools; 10% enhanced/curated (data technically available from public sources but branded FDS products like StreetAccount, SHARK, GoRev with high client loyalty)

Tone: Confident, measured. New CEO emphasizing urgency and execution discipline; transparent about work ahead; no hype on AI but clear it's a tailwind, not a replacement for core strengths.

Recent Developments

Dec 18, 2025 (Q1 earnings call): CEO Sennoke Vishwanathan joined ~3 months prior; outlined three strategic pillars and doubled buyback authorization to $1B
Jun 18, 2026 (Redburn downgrade): Rothschild & Co Redburn downgraded FDS to Sell with $215 PT (vs. ~$218–241 recent trade levels); cited "terminal erosion, unbundling, and AI risks"
Jun 26, 2026: Stock trading ~$218–240 range; RBC analyst commentary noted ASV upside but trimmed target

Bull Narrative

Optimists arguing:

Durable competitive moat + embedded workflows: Deep integration into buy-side, wealth, and banking workflows; 16+ year avg. client tenure; "8.4B FactSet query language requests per day on average" is hard to displace
ASV momentum + expansion mix: 5.9% organic growth accelerating sequentially; expansion with existing clients strong; wealth +10% is a bright spot (land-and-expand via workstations into APIs, analytics, off-platform solutions)
AI as a tailwind, not headwind: >45% sequential adoption of new AI products; clients consolidating multiple AI solutions through FDS; contract renewals including AI as key component; no observed headcount reduction at clients yet
Operational leverage opportunity: New management executing on cost productivity (10x data ingestion speed, AI automating 35% of support queries); structural tech modernization to enable future margin expansion; $554M returned to shareholders in 12 months while funding growth
Market environment supportive: M&A/banking recovery driving demand; regulatory easing in China; hedge funds accelerating; wealth advisors upgrading tech stacks; strong pipeline visibility
Capital allocation discipline: $1B buyback auth. + consistent dividend + growth investments suggest board/mgmt confidence in fundamentals and willingness to return cash while investing

Bear Narrative

Skeptics raising concerns:

Valuation multiple compression vs. historical: Stock trading ~$218–240; Redburn PT of $215 implies limited upside; prior multiples higher in historical context
Growth deceleration risk: 5.9% organic ASV growth is solid but still modest for a software platform; guidance reaffirmed (not raised) despite Q1 beat; management deliberately holding back medium-term guidance
Margin pressure near-term: Q2 margins expected to step down significantly due to new headcount and tech spend; full-year margin target implies ~150 bps decline YoY; payoff is uncertain
AI competitive threats underestimated: Redburn specifically flagged "AI risks"; hyperscalers and startups could offer cheaper, simpler AI data solutions; FDS's defensibility vs. open-source + cloud-native competitors unclear
Customer concentration & unbundling risk: Redburn cited "terminal erosion" and "unbundling" — clients may cherry-pick best-of-breed tools rather than staying locked into FDS ecosystem; no disclosure of customer concentration or churn leading indicators beyond 91%/95% aggregate metrics
SME execution risk: New CEO (3 months in) still defining strategy; productivity gains unproven at scale; legacy tech consolidation is complex and can derail
Muted EPS growth: EPS +3% YoY despite 5.9% ASV growth suggests margin compression and/or share count effects offsetting; valuation multiple likely needs earnings acceleration to rerate higher

Retail Sentiment

Overall: Mixed-to-bullish, low conviction

Bullish posts (mostly technical/options-based): Traders noting divergence setups (price up, momentum indicators down); call option spreads betting 10–20% upside to $240–260 over 3–7 months; general mentions as "Benjamin Graham dividend stock" and quality large-cap play
Cautious/neutral: Limited retail chatter; most discussion is analyst-driven (Redburn downgrade, RBC trim)
No strong bearish retail narrative detected, but also no cult-like enthusiasm (unlike mega-cap SaaS names)
Retail appears to be treating FDS as a "boring quality compunder with AI optionality" rather than a high-conviction growth or value bet

Caveats

Thin AI disclosure: Management rhetoric on AI is confident but quantification is limited. "45% sequential adoption" of new AI products is early and could be cherry-picked data. True competitive threat from LLM-based alternatives not deeply explored on the call.
Proprietary data claim needs scrutiny: 90% of ASV claimed proprietary, but 10% ("enhanced & curated") is still material and could be more vulnerable to commoditization. No granular disclosure of revenue by data type or customer tenure distribution.
Guidance reaffirmation is conservative: Q1 beat on organic ASV (+5.9% vs. prior Q of 5.2%) but management explicitly says "too early" for medium-term guidance and maintains "prudent and conservative" posture. Could signal low confidence in acceleration or optionality to manage expectations.
Redburn downgrade rationale underexplored on call: The call did not directly address the Redburn thesis on "terminal erosion" and "unbundling." Management response was boilerplate on proprietary moats; no deep rebuttal on competitive positioning.
Cost productivity gains unproven: Examples given (10x data ingestion, AI support agent, text-to-formula) are early wins and may not scale; full-year savings estimates not quantified.
No segment margin disclosure: Management did not break out profitability by segment (buy-side, wealth, deal makers, market infrastructure) — makes it hard to assess which lines are truly expanding and which are margin-dilutive.
Customer concentration not disclosed: While client count and retention metrics are strong in aggregate, no information on top 10 or top 50 customer concentration, which could be material risk factor.
M&A (Irwin Analytics, Liquidity Book) integration opaque: These acquisitions are being "fully integrated" but no post-close performance or profitability targets disclosed; could be drag or upside wildcard.

Summary for Investment Council

Thesis: FDS is a high-quality, defensive SaaS compounder with a deeply embedded moat in financial workflows. Q1 results are solid (5.9% organic ASV growth, healthy margins, strong capital returns), and management is executing on cost productivity and commercial rigor under a new CEO. AI adoption is early but showing promise as a co-sell lever, not a cannibal. However, valuation multiples are compressed, guidance is conservative, margin expansion is near-term uncertain, and the Redburn thesis on unbundling/AI competitive risks has not been fully rebutted.

Key decision point: Is FDS a $220–240 "hold" for income + modest capital appreciation, or a $200–210 "buying opportunity" on AI optionality + margin leverage? Retail and most analysts appear to lean toward the former; Redburn's Sell call is an outlier but not irrational. Next catalyst is Q3 earnings (early Jul 2026) — monitor ASV growth trajectory, margin trajectory, and any medium-term

Bull case

FactSet is a textbook quality compounder: >95% ASV retention, 16+ year average client tenure, 8.4B daily FactSet Query Language requests, 32% operating margins, 29% FCF margins ($665M FCF), ROIC of ~17% comfortably above an ~8% WACC, and CFO ($726M) exceeding net income — clean earnings quality with no accrual red flags. The quality lenses (Munger 74, Terry Smith 78, Mauboussin 72) argue the stock trades at embedded-pessimism multiples (P/FCF 12.7x, P/E 14.1x) that already price in roughly 4-5% perpetual growth — well below the 5.9% organic ASV growth actually being delivered. The Damodaran-style referee pegs base-case intrinsic value at $240-280, modestly above the $232 price, with meaningful upside if AI-driven productivity (10x data ingestion, 35% of support queries automated) expands margins toward 35%. A doubled $1B buyback, wealth segment growing +10%, and disciplined 1.4x leverage round out an owner-friendly profile.

Bear case

The stock trades at its 52-week high with essentially no margin of safety, and the value/deep-value lenses reject it outright (Klarman 32, Schloss 18) — P/B of 3.9x, negative tangible book after stripping acquisition goodwill, and no asset floor. Greenwald's EPV anchor ($171-192/share) implies the current price is 20-35% ABOVE current earnings power, meaning you are paying a full premium for growth that is only ~8% and decelerating in EPS terms (+3% YoY despite 5.9% ASV growth — margins are compressing). The Christensen AI referee frames 30-40% of revenue as structurally exposed to LLM-native and hyperscaler substitution (AlphaSense, Koyfin, Bloomberg GPT, Microsoft/OpenAI), with the fastest-growing wealth segment also the most vulnerable. The Redburn Sell thesis ($215 PT, terminal erosion/unbundling) has NOT been rebutted with hard win/loss or pricing data — management offers unauditable '90% proprietary ASV' claims. A new CEO 3 months in withheld medium-term guidance, and near-term margins are guided lower.

Dissent — where the council disagrees

Sharp split between quality and value schools. The quality bulls (Terry Smith 78, Munger 74, Mauboussin 72) see a moaty compounder at embedded-pessimism multiples and would own it. The deep-value lenses violently disagree: Schloss (18) and Klarman (32) see no asset-based margin of safety, a 3.9x P/B with negative tangible book, and a stock at its high with no fear priced in. This matters because the entire bull case rests on the durability of the switching-cost moat — and that is exactly what the AI referee and forensic short-seller flag as unquantified and unrebutted. Greenwald's EPV ($171-192) directly contradicts Damodaran's DCF ($240-280); the gap is entirely a bet on future growth being protected. Even the bulls concede ROIC (16.7%) sits below their 20% threshold and that AI is a real fat-tail risk. The decisive tension: this is only a Pass if you trust the moat holds against AI, and no lens can currently underwrite that with confidence.

Key risks

AI/LLM-native competitors and hyperscalers (AlphaSense, Bloomberg GPT, Microsoft/OpenAI) commoditizing the 30-40% of ASV in analytics/research synthesis and 'enhanced/curated' data
Unbundling and renewal-discount pressure that shows up before headline ASV — no pricing-trend disclosure to monitor
Margin compression: EPS +3% vs ASV +5.9%, Q2 guided lower, FY26 ~150bps decline; margin-expansion thesis unproven
New CEO (3 months in) with withheld medium-term guidance and unproven productivity claims
No margin of safety at 52-week high; price is 20-35% above Greenwald EPV of $171-192
Wealth segment (+10%, fastest-growing) is also the most exposed to robo/AI-native displacement

Catalysts

Q3 FY2026 earnings (~Jul 1, 2026) — tests whether ASV acceleration and margin phasing hold
Sustained organic ASV growth above 8% would validate the reinvestment runway and trigger re-rating
Margin re-expansion toward 35% as AI/productivity initiatives flow through
Continued $1B buyback execution net of SBC dilution
Any concrete competitive win/loss or pricing data that rebuts (or confirms) the Redburn unbundling thesis

DCF valuation

Not applicable: FCF-based DCF is not appropriate for Financial Services — banks/insurers are valued on P/B and ROE, REITs on P/FFO and cap rates.

Short-sell evaluation

🚫 AVOID SHORTING

Despite a credible AI/unbundling bear thesis and no margin of safety on the long side, this is a poor short. The forensic short-seller (52) explicitly finds no accounting fraud: CFO exceeds net income, FCF of $665M is robust, and there is no accrual manipulation. The business generates 29% FCF margins, retains >95% of ASV, and carries a manageable balance sheet with a doubled $1B buyback — all classic short-killers. The stock has already fallen ~49% from its $453 peak to $232, meaning much of the multiple compression a short would target has already occurred, and multiples (P/FCF 12.7x, P/E 14.1x) are near-historic lows. The AI thesis is a slow-burn, multi-year risk with no near-term catalyst, while you fight positive momentum (+11% recent move, at 52-week high), a buyback bid, and unlimited downside. This is a short only for specialists who can underwrite accelerating unbundling with hard data — and that data does not yet exist.

Pros (the short could work)

No margin of safety: price is 20-35% above Greenwald EPV of $171-192; deep-value lenses score it 18-32
Credible, structurally coherent AI/unbundling bear thesis (Redburn Sell, $215 PT) unrebutted by management
Decelerating earnings: EPS +3% vs ASV +5.9%, near-term margin compression guided
30-40% of revenue exposed to LLM/hyperscaler commoditization per Christensen referee
No pricing-trend or churn-by-segment disclosure — early erosion could be masked

Cons (what kills the short)

Clean accounting: CFO ($726M) > net income ($597M), $665M FCF, no accrual red flags
Already down ~49% from peak — most valuation compression may be behind it; multiples near historic lows
Durable switching-cost moat: >95% ASV retention, 16-year tenure, 8.4B daily queries
Positive momentum (+11%, at 52-week high) plus a $1B buyback bid working against shorts
Strong balance sheet, dividend, and low beta (0.71) — no distress catalyst
AI thesis is a multi-year slow burn with no near-term trigger; unlimited downside on a quality name being bought back

Council scorecard

Lens	School	Stance	Score	Conf
Terry Smith (Fundsmith)	quality	🟢 pass	78	medium
Charlie Munger	quality	🟢 pass	74	medium
Michael Mauboussin	quality	🟢 pass	72	medium
Chuck Akre	quality	🟡 watch	62	medium
Warren Buffett	quality	🟡 watch	62	medium
Philip Fisher	growth	🟡 watch	58	medium
Joel Greenblatt	value	🟡 watch	58	medium
Bruce Greenwald	value	🟡 watch	58	medium
Ray Dalio	risk	🟡 watch	55	medium
Valuation Referee (Damodaran-style)	referee	🟡 watch	55	medium
Peter Lynch	growth	🟡 watch	52	medium
Forensic Short-Seller (Chanos/Einhorn-style)	referee	🟡 watch	52	medium
AI & Disruption Referee (Christensen-style)	referee	🟡 watch	52	medium
Stanley Druckenmiller	risk	🟡 watch	48	medium
Benjamin Graham	value	🟡 watch	48	medium
Howard Marks	risk	🟡 watch	48	medium
Seth Klarman	value	🔴 avoid	32	medium
Walter Schloss	value	🔴 avoid	18	high

Member reasoning

Terry Smith (Fundsmith) — 🟢 pass · 78/100 · medium confidence

FactSet Research Systems is precisely the kind of asset-light, high-return, recurring-revenue software business that fits the Fundsmith quality template. The core moat — deeply embedded workflows, proprietary data, and switching costs built over 16+ year average client relationships — aligns with Smith's preference for businesses where customers keep coming back and cannot easily leave. Operating margin of 32.2%, net margin of 25.7%, and FCF margin of 28.7% are all strong. Free cash flow of ~$665M tracks well against net income of $597M (FCF > net income, a quality signal that Smith explicitly values). ROIC at 16.7% and ROE at 27.5% are solid, though ROIC is somewhat depressed by the goodwill from the CUSIP/CGS-era acquisitions. Capital intensity is genuinely light — capex of ~$61M against $726M operating cash flow is ~8% of OCF, leaving the vast majority of earnings as distributable free cash. Revenue CAGR of ~8% over three years is modest but consistent with a defensive compounder. The business passes the three-step Fundsmith test (good business, not overpaying, do nothing) with moderate confidence. The valuation concern is real but not disqualifying: P/FCF of 12.7x and P/E of 14.1x are actually quite reasonable for this quality profile — notably below the historical multiples FDS commanded at peak. The stock is at its 52-week high but ~49% below its all-time high of $453, suggesting meaningful multiple compression already occurred. The primary reasons the score is not higher are: (1) ROIC of 16.7% is below Smith's preferred 20%+ threshold (inflated goodwill/intangibles from acquisitions dilutes measured returns); (2) Redburn's Sell thesis on terminal erosion/unbundling/AI displacement is a genuine moat challenge that management has not fully rebutted; (3) new CEO (only ~3 months in at Q1 call) adds execution uncertainty; (4) organic ASV growth of ~6% is respectable but not exceptional for a quality software compounder, and near-term margin pressure from intentional investment spend creates a 12-18 month earnings headwind. However, at current valuations — P/FCF ~12.7x for a 32%+ operating margin business with sticky clients and no meaningful capital intensity — the price is fair to moderately attractive, not stretched. Smith would likely own this.

Key points

FCF of $665M exceeds net income of $597M — clean cash conversion, no accrual inflation
Operating margin 32.2%, FCF margin 28.7% — durable, high-quality margins with pricing power
Capex only ~$61M vs $726M operating cash flow — genuinely asset-light model
Revenue model is almost entirely recurring (subscription ASV); 91%+ client retention, >95% by ASV value
P/FCF of ~12.7x and P/E of ~14.1x are undemanding for this quality tier — significant de-rating from all-time highs provides margin of safety
Wealth segment growing +10%, AI co-sell showing early adoption — reinvestment runway intact
$1B buyback authorization doubled by board signals capital discipline and balance sheet confidence
Gross debt leverage at 1.4x — manageable and not a disqualifying concern

Red flags

ROIC of 16.7% is below Fundsmith's preferred 20%+ threshold, weighed down by acquisition goodwill
Redburn downgrade citing 'terminal erosion, unbundling, AI risks' at $215 PT — moat challenge not fully rebutted by management
New CEO only ~3 months in at Q1 call; strategy still being defined; medium-term guidance deliberately withheld
Near-term intentional margin compression (Q2 expected step-down) creates 12-18 month earnings headwind
Long-term debt of $1.37B with $275M cash; net leverage is modest but worth monitoring given acquisition history
AI competitive displacement risk from hyperscalers and open-source alternatives is a genuine, unquantifiable long-term threat to pricing power
Serial acquisitions (CUSIP, Irwin Analytics, Liquidity Book) have inflated goodwill and somewhat obscure true incremental returns on organic capital

Charlie Munger — 🟢 pass · 74/100 · medium confidence

FactSet is precisely the kind of business Charlie Munger would find understandable and admirable: a financial data and analytics compounder with deeply embedded workflows, sticky subscription revenue, and consistent returns on capital well above the cost of capital. The moat is identifiable — switching costs are enormous when buy-side analysts have run FactSet queries daily for a decade, when 16+ year average client tenure is disclosed, when 91%+ retention by client count and 95%+ by ASV persists through cycles. This is not a commodity; it is closer to a toll road on professional financial workflows. ROIC of 16.7% and ROE of 27.5% are above Munger's 15% threshold, and FCF margins of ~29% confirm that earnings are real — operating cash flow of $726M supports the reported net income of $597M handsomely. The balance sheet is conservative: debt-to-equity of 0.63, current ratio of 1.54, and gross leverage of ~1.4x per management commentary. The new CEO has doubled buyback authorization to $1B, suggesting owner-minded capital allocation, and the dividend has been maintained alongside repurchases. At $231.74 per share with P/FCF of 12.7x and P/E of 14.1x, this is not obviously expensive for the quality on offer — in fact, for a business with these return characteristics and 8% revenue CAGR over three years, a sub-15x earnings multiple is closer to fair than dear. The 52-week range ($185–$453) signals the stock was materially devalued from prior peaks, making the current price look like a reasonable entry relative to intrinsic quality. The primary concerns are: (1) the Rothschild Redburn downgrade citing terminal erosion and AI unbundling risks — a non-trivial bear case that management has not fully rebutted; (2) near-term margin pressure as the new CEO invests in headcount and tech; (3) modest revenue growth of 5.9% organic ASV is solid but not spectacular; and (4) medium-term guidance withheld by new CEO, suggesting strategic uncertainty. The inversion test: how does this go to zero? Only if AI commoditizes financial data entirely AND clients simultaneously defect en masse — possible but not probable given the proprietary workflow integrations and contract structures described. The circle-of-competence test passes: subscription financial data platform, simple unit economics (ASV per client, retention rate, margin), no black-box financials. Score 74 — a quality business at a fair-to-modest price, bought to hold, with a watchful eye on AI competitive dynamics and management execution under new CEO.

Key points

ROIC 16.7% and ROE 27.5% both exceed Munger's 15% threshold — genuine high-return business
FCF of $665M vs net income of $597M confirms earnings quality; FCF margin ~29%
P/FCF of 12.7x and P/E of 14.1x are reasonable for a business with these return characteristics and switching cost moat
91%+ client retention and 95%+ ASV retention demonstrate durable switching costs — 16+ year average client tenure
Revenue CAGR of ~8% over 3 years with 5.9% organic ASV growth in Q1 FY26 shows steady compounding
$1B buyback authorization doubled under new CEO — owner-minded capital allocation signal
Debt-to-equity 0.63 and 1.4x gross leverage — conservative, survivable balance sheet
Simple, understandable business model: subscription financial data and analytics, explainable in one paragraph
~90% of ASV from proprietary data/workflows per management — core defensibility claim
AI products showing early traction (45% sequential user adoption) without cannibalizing core revenue

Red flags

Rothschild Redburn downgrade to Sell with $215 PT citing terminal erosion and AI unbundling — serious bear case not fully rebutted on earnings call
New CEO only 3 months in at Q1 call — strategic direction still being defined; medium-term guidance deliberately withheld
Q2 margins expected to step down materially as investments ramp — near-term earnings pressure with uncertain payoff
EPS growth only +3% YoY despite 5.9% ASV growth — margin compression partially offsetting revenue gains
AI competition risk is real: hyperscalers and LLM-native startups could commoditize portions of FDS's data offering over a 5-10 year horizon
Stock at 52-week high ($231.74 = exactly the 52-week high per price data) — no margin of safety cushion from current levels
Revenue growth is modest (8% CAGR) for a business priced as a compounder — requires sustained execution to justify holding

Michael Mauboussin — 🟢 pass · 72/100 · medium confidence

FactSet's franchise is best understood through the lens of switching costs and embedded workflow integration — the clearest structural moat in the B2B data/analytics space. ROIC of 16.7% sits meaningfully above a reasonable WACC estimate (likely 8-9% for a low-beta, defensive business; beta=0.71), producing a spread of roughly 7-8 percentage points. This is a real, demonstrated ROIC-above-WACC business with three-year revenue CAGR of 8% and FCF margins near 29%. The question is whether the spread is durable, narrowing, or widening — and what expectations are embedded in the current price. At P/FCF of 12.7x and P/E of 14.1x, the market is pricing in modest expectations: implied growth well below the historical CAGR and margins roughly flat. This is the analytically interesting part — the price embeds a fairly pessimistic scenario (Redburn's sell thesis), not a bull case. The moat mechanism is real and specific: (1) switching costs are extremely high — clients integrate FDS data via FactSet Query Language (8.4B queries/day), proprietary models, analytics workflows, and 16+ year average client tenure; switching means re-integrating data feeds, retraining staff, rebuilding screens/models, and losing institutional data history; (2) modest network effects in the sense that the platform's content breadth improves as more client data and third-party feeds are integrated; (3) proprietary data assets (90% of ASV claimed) create an intangible with real bite — though the 10% 'curated' bucket warrants scrutiny. Retention of >95% by ASV is the behavioral proof of switching costs, not just an adjective. The base rate caution: financial data terminal businesses have historically shown durable ROIC (Bloomberg, MSCI, FactSet, Verisk) because workflow lock-in is genuinely structural, not cyclical. However, AI represents a plausible moat-eroding force — not immediate, but real — where LLM-native competitors could lower the switching cost by making data extraction and analysis more commoditized. Management's response (AI as co-sell, proprietary data as defense) is plausible but not yet proven at scale. The Redburn 'unbundling' thesis deserves serious weight as a fat-tail risk. The new CEO (3 months in) adds execution uncertainty; no medium-term guidance is a yellow flag on confidence. On expectations investing: at ~$232, with FCF of ~$665M and shares of 37.5M, implied FCF/share is ~$17.75, giving P/FCF of ~13x. For a business with 8% revenue CAGR and ~29% FCF margins, 13x FCF is pricing in minimal growth and some multiple compression — consistent with embedded pessimism. The price-implied expectation appears to be roughly: 4-5% FCF growth perpetually, no margin expansion, and some competitive erosion. If FDS merely sustains 6-7% organic growth (below recent 5.9% ASV trajectory) and holds margins, the stock has meaningful upside from current levels. The fat-tail downside — AI-enabled unbundling accelerating over 3-5 years — is real but not the base case given demonstrated client stickiness and contract renewal patterns (multi-year, AI-inclusive renewals). Overall: a genuine moat business trading at embedded-pessimism valuations, with a credible but unproven AI risk. Score 72 — modest pass, not a strong conviction buy, because AI displacement uncertainty is a real distributional risk that keeps the upside-to-risk asymmetry from being compelling enough for a higher score.

Key points

ROIC of 16.7% vs. estimated WACC of 8-9% (beta 0.71, low-leverage) = ~750-850 bps spread; genuine value creation, not accounting noise
Switching costs are mechanistic and measurable: 8.4B daily FQL queries, 16+ year avg. client tenure, >95% ASV retention, multi-year renewals with AI clauses now embedded
P/FCF of 12.7x and P/E of 14.1x embed deeply pessimistic expectations — implied FCF growth of ~4-5% perpetually — creating asymmetric upside if 6-8% organic ASV growth is sustained
Organic ASV accelerating (5.9% vs. 5.2% prior quarter) with broad geographic and segment diversity (wealth +10%, banking +6%, APAC +8%) — inside-view evidence slightly better than embedded expectations
AI adoption showing early traction (>45% sequential user growth in AI products, text-to-formula handling 35% of support queries) positioning FDS as AI consolidator for clients, not a replacement target
Capital allocation is disciplined: $1B buyback authorization (doubled), 1.4x gross leverage, consistent dividend, reinvestment in high-ROIC organic growth — passes the capital stewardship test
New CEO Vishwanathan is reorganizing sales incentives and tech infrastructure; productivity gains (10x data ingestion speed) directionally correct but unproven at scale

Red flags

AI unbundling risk is the primary moat threat: LLM-native startups and hyperscaler data products could reduce switching costs by commoditizing data extraction; Redburn's sell thesis is not irrational and has no thorough management rebuttal
No medium-term guidance 3 months into new CEO tenure introduces strategy execution uncertainty; 'too early' language is a yellow flag on confidence in the growth trajectory
Margin compression near-term (Q2 expected step-down, FY26 ~150 bps YoY decline) with unquantified payoff from infrastructure investments; cost productivity gains anecdotal, not yet in financials at scale
10% of ASV in 'enhanced/curated' category (StreetAccount, SHARK, GoRev) is most vulnerable to commoditization; no granular revenue-by-data-type disclosure to track erosion
EPS grew only 3% YoY despite 5.9% ASV growth — suggests margin compression and reinvestment are consuming the revenue delta; earnings acceleration needed to justify any re-rating
Customer concentration undisclosed: 9,000+ client count but no top-10/top-50 concentration data; a few large client losses could materially impact ASV trajectory given high per-client value
52-week price data anomaly: stated high and low are both $231.74 and $185.00/$453.41 respectively — data inconsistency in the fact base reduces confidence in price-level inferences

Chuck Akre — 🟡 watch · 62/100 · medium confidence

FactSet is a capital-light financial data franchise with genuine switching costs and embedded workflows — exactly the kind of business I look for. The three-legged stool has two solid legs and one that wobbles. Leg 1 (extraordinary business): largely intact — 32% operating margins, 29% FCF margins, ~$665M FCF, high retention (>95% by ASV), proprietary data workflows deeply embedded in buy-side and wealth management. Leg 2 (management skill and integrity): mixed — new CEO only 3 months in at Q1 earnings call, so the track record is short; the $1B buyback doubling and disciplined capital commentary is encouraging, but it's too early to grade integrity and skill definitively; prior management's execution was solid but not spectacular. Leg 3 (reinvestment runway): this is where I have the most concern — 3-year revenue CAGR is only ~8%, ASV organic growth is 5.9%, and EPS grew just 3% YoY in Q1 FY26, which is not the compounding engine I require; the Redburn 'unbundling + AI' thesis introduces real uncertainty about whether the growth runway is expanding or contracting. On returns: ROIC of 16.7% and ROE of 27.5% are solid but not exceptional; importantly, ROE is supported by a modestly levered balance sheet (D/E ~0.63, LT debt $1.37B, leverage 1.4x gross debt) — not egregious but worth monitoring. FCF conversion is excellent (FCF $665M vs net income $597M), confirming capital-light economics. On valuation: at $231.74, P/E of 14.1x and P/FCF of 12.7x are surprisingly modest for a quality compounder — this is arguably cheap on an absolute basis. But the PEG of 1.77 and only 8% revenue CAGR suggest the market is pricing in meaningful growth deceleration, and I don't have enough conviction to disagree with that skepticism given the AI disruption overhang. The stock is trading at its 52-week high — no margin of safety from a technical standpoint. I'd want to see: (1) new CEO demonstrate capital allocation discipline over 2+ years, (2) ASV growth accelerate sustainably above 8%, (3) EPS compounding reaccelerate toward 10-12%, and (4) clearer evidence that AI is a tailwind not a threat to pricing power. This is a Watch, not a Pass.

Key points

Capital-light franchise: FCF margin ~29%, operating margin 32%, low capex ($61M vs $726M OCF) — the business economics are genuinely excellent
High retention moats: >95% ASV retention, 91% client count retention, 16+ year average client tenure is hard to replicate
ROIC 16.7% and ROE 27.5% are above cost of capital but below my preferred 20%+ threshold; leverage (1.4x gross debt) is modest but not zero
Valuation is surprisingly reasonable: P/FCF of 12.7x and P/E of 14.1x are not pricing in perfection — provides some margin of safety
$1B buyback authorization doubled, consistent dividend, $554M returned to shareholders in 12 months — capital return signals confidence
AI adoption early but real: 45% sequential user growth on new AI products, text-to-formula handling 35% of support queries — operational leverage potential
New CEO (Sennoke Vishwanathan, 3 months in) articulating right priorities: commercial excellence, productivity, long-term strategy — but track record too short to grade

Red flags

Reinvestment runway concern: only 8% revenue CAGR and 3% EPS growth in Q1 FY26 — not the 15%+ compounding I need to justify long-term hold at premium multiples
Redburn downgrade citing 'terminal erosion, unbundling, AI risks' at $215 PT is not irrational — FDS has not offered a deep rebuttal to the unbundling thesis
New CEO risk: capital allocation philosophy and integrity not yet demonstrated over a full cycle; strategy still being defined ('too early for medium-term guidance')
Stock at 52-week HIGH ($231.74 = 52w high per price data) — no margin of safety from price pullback; prior 52w high of $453 suggests significant prior multiple compression
Margin pressure near-term: Q2 expected step-down in margins, full-year implies ~150 bps YoY decline — investment payoff timeline uncertain
AI competitive threat underquantified: hyperscalers and LLM-native startups could offer cheaper alternatives to parts of FDS's data stack; 10% 'enhanced/curated' revenue most vulnerable
No segment-level margin or customer concentration disclosure makes it difficult to assess which reinvestment vectors are truly compounding vs. dilutive

Warren Buffett — 🟡 watch · 62/100 · medium confidence

FactSet is a genuinely excellent business with many hallmarks of a Buffett-quality compounder: deeply embedded workflows with 16+ year average client tenure, sticky subscription revenues (>95% ASV retention), high free cash flow conversion (FCF margin ~29%), solid ROE of 27.5%, and modest capital intensity (capex only ~$61M against $726M operating cash flow). The economic moat is real — FactSet's proprietary data sets, query language infrastructure (8.4B daily requests), and integration into buy-side workflows create meaningful switching costs analogous to what I'd call an 'informational toll booth.' The business is highly understandable: collect subscription fees from financial professionals who depend on your data and analytics to do their jobs. However, the current price (~$232) gives me pause. At 14x PE and 12.7x price-to-FCF, this looks superficially cheap, but the stock has fallen ~49% from its 52-week high of $453, suggesting prior frothy pricing, not current undervaluation. The 3-year revenue CAGR of only ~8% and EPS growth of just +3% YoY despite solid ASV figures suggest the business is grinding, not compounding. The Redburn downgrade citing 'terminal erosion, unbundling, and AI risks' deserves serious attention — I would not dismiss it. The 10% of ASV from 'enhanced/curated' public data is vulnerable to commoditization. A new CEO only 3 months in is still defining strategy, which adds uncertainty. Owner earnings are strong but growth is modest relative to the quality premium I'd normally require. At $232, with uncertain medium-term guidance and real AI competitive risks to the terminal moat, this is a 'watch' — an excellent business not yet at a compelling margin of safety.

Key points

Durable switching-cost moat: >95% ASV retention, 16+ year avg client tenure, 8.4B daily query language requests signal genuine workflow embeddedness
Exceptional FCF conversion: $665M FCF on $726M operating cash flow; FCF margin of ~29% with capex only ~$61M — owner earnings are real and not consumed by maintenance reinvestment
Solid ROE of 27.5% achieved without egregious leverage (D/E ~0.63x, gross leverage 1.4x per management); ROIC of 16.7% is respectable though not outstanding
Capital allocation broadly rational: $1B buyback authorization (doubled), consistent dividend, growth investments prioritized — management transparency on investment phasing is commendable
~90% of ASV from proprietary client-facing solutions and data reduces commoditization risk for the bulk of revenue
Operating margin of 32.2% with 36.2% adjusted margin demonstrates pricing power and operational leverage in the subscription model
Revenue CAGR of ~8% over 3 years is steady but not exceptional; PEG of 1.77 suggests modest growth for the current earnings multiple

Red flags

Stock is at its 52-week HIGH of $231.74 (identical) having fallen ~49% from prior high of $453 — this implies prior extreme overvaluation and uncertain normalization; current price may still embed optimism
EPS growth only +3% YoY despite 5.9% ASV growth signals margin compression; buying a contracting-margin business requires a higher conviction on moat durability than I currently have
Redburn 'Sell' thesis on terminal erosion, unbundling, and AI risks has not been directly rebutted by management; new CEO is 3 months in and explicitly says medium-term strategy is still being defined — this is a turnaround-lite situation, not a proven steady state
AI competitive risk is genuine and underquantified: hyperscalers offering cheaper LLM-based data solutions could erode the 10% enhanced/curated ASV segment and pressure pricing on the broader book over a 5-10 year horizon — outside my comfort zone to confidently underwrite
No DCF available (flagged not applicable for Financial Services sector); my own rough normalized owner-earnings estimate (~$665M FCF / $8.4B market cap = ~7.9% yield) is fair but not a screaming bargain for a business with 8% revenue growth
Customer concentration not disclosed; no segment-level profitability breakdown — opacity limits confidence in underwriting the moat's true depth
New CEO (Vishwanathan, 3 months tenure) and undisclosed medium-term guidance create execution uncertainty inconsistent with the 'predictable, long earnings history' I require for high conviction

Philip Fisher — 🟡 watch · 58/100 · medium confidence

FactSet is a high-quality financial data and analytics compounder with genuine embedded workflow advantages, but assessed strictly through a Fisher lens it falls short of a clear 'pass' on several key criteria. Organic ASV growth at 5.9% is solid but not exceptional for a software/data business — it represents modest volume/product expansion rather than explosive new-market penetration. The company's moat is real (16+ year avg. client tenure, 91%+ retention, 8.4B FactSet query requests/day), but growth is fundamentally constrained by the size and pace of the institutional financial services market, not by a rapidly expanding total addressable market the way Fisher's canonical winners like Motorola or TI were riding secular technology curves. R&D investment and product pipeline are present but not dramatically differentiated — AI adoption is early (>45% sequential user growth on new products) and promising, but management itself says 'too early' for medium-term guidance and is in an exploratory phase under a CEO only 3 months in. Operating margin at 32.2% is strong and FCF margin at 28.7% is excellent, but margins are actually declining YoY (~150 bps) as the company invests ahead, and Q2 is guided to step down further — Fisher rewards investing for growth, but also expects the trajectory to show up in results eventually. Management candor is good — the new CEO is transparent about work ahead, the 10-K and earnings call are clear about risks — but the Redburn downgrade thesis on 'terminal erosion, unbundling, and AI risks' was not directly rebutted, which is a mild integrity/candor concern. The $1B buyback doubling and $554M returned in 12 months are capital allocation positives but also signal that management sees limited internal reinvestment opportunities at high returns — a Fisher negative. Revenue CAGR of ~8% over 3 years is respectable but below the bar Fisher set for truly exceptional growth businesses. The wealth segment (+10%) and AI integration are genuine bright spots suggesting a nascent new growth vector, but scale and durability are unproven.

Key points

Organic ASV growth accelerated to 5.9% with broad-based regional expansion (Americas +6%, EMEA +4%, APAC +8%), suggesting genuine product-driven share gains rather than price alone
Wealth segment growing +10% YoY with land-and-expand dynamics (workstations → APIs → analytics) — this is the closest Fisher-style new market penetration story
AI products showing 45%+ sequential user adoption; text-to-formula agent handling 35% of daily support queries; 10x faster data ingestion — evidence of productive technology investment translating into salable products
Deep workflow embeddedness: 16+ year avg. client tenure, >95% ASV retention, 9,000+ clients, 240,000+ users — scuttlebutt-consistent with a genuinely sticky franchise
New CEO articulating a coherent three-pillar strategy (commercial excellence, productivity, long-term innovation) with transparency about what is and isn't known — Fisher-style management candor
Operating margin 32.2% and FCF margin 28.7% indicate strong underlying economics; $726M operating cash flow on $2.32B revenue is a high-quality business
~90% of ASV from proprietary client-facing solutions/data is a credible moat claim, validated by multi-year (5-7 year) contract renewals that explicitly include AI components

Red flags

Revenue CAGR of ~8% over 3 years is respectable but below the Fisher threshold for exceptional growth businesses riding major secular waves; organic ASV growth has been decelerating historically before Q1 2026 re-acceleration
Margins declining YoY (~150 bps adjusted operating margin) with Q2 guided to step down further — investment thesis depends on future payoff from headcount and tech spend that is not yet quantified
$1B buyback authorization and $554M returned in 12 months while guiding to modest growth suggests management sees limited high-ROIC reinvestment options internally — Fisher prefers companies that compound internally
New CEO only 3 months in with strategy still being defined — management depth and bench strength not yet demonstrable; 'too early for medium-term guidance' signals real uncertainty
Rothschild Redburn downgrade citing 'terminal erosion, unbundling, and AI risks' at $215 PT not directly rebutted in earnings call — Fisher demands management address competitive threats candidly
No R&D line item as a % of revenue disclosed in fact base — cannot assess whether tech investment is sufficient relative to peers like Bloomberg, Refinitiv/LSEG, or S&P Global Market Intelligence
Growth is bounded by institutional financial services market size and pace — this is not a Motorola-style expansion into a mass consumer market or TI-style semiconductor penetration; TAM expansion is incremental not transformational

Joel Greenblatt — 🟡 watch · 58/100 · medium confidence

FactSet is a profitable operating business with measurable EBIT and an identifiable capital base, so the Magic Formula lens can be meaningfully applied. However, the stock sits in a mixed zone: high-quality ROIC business but priced at a modest rather than compelling earnings yield, and with no special-situation catalyst. Let me work through the numbers. EBIT for FY2025 is reported as $748M operating income. Market cap is ~$8.44B. Total debt: long-term debt $1.37B plus any short-term (current liabilities $459M, though much of that is likely deferred revenue/accruals; from the balance sheet, I'll use long-term debt $1.37B as the primary debt figure). Cash and equivalents: $275M (excess cash). EV ≈ $8.44B + $1.37B - $0.275B ≈ $9.53B. EBIT/EV earnings yield ≈ $748M / $9.53B ≈ 7.8%. That's decent — solidly above long-term market averages (~6-7% for good businesses), but not the 15-25%+ yields Greenblatt targets for true Magic Formula bargains. On ROIC (Greenblatt style, EBIT / net working capital + net fixed assets): net working capital = current assets $709M - current liabilities $459M = $250M; net fixed assets are harder to isolate for a data/software business — capex is modest ($61M in the reported period, though this may be understated as the period noted is 2023), and FDS's intangible-heavy balance sheet means the tangible fixed asset base is very small. This is a capital-light business, which flatters ROIC enormously — likely 80-100%+ on tangible capital, which is an outstanding score. So FDS scores excellent on one axis (ROIC) and merely decent on the other (earnings yield ~7.8%). The Magic Formula requires strength on BOTH axes simultaneously. A 7.8% EBIT yield puts FDS at a moderate rank, not an elite rank. The stock has also fallen ~49% from its 52-week high of $453 to $232, suggesting significant multiple compression from elevated levels — the current price is more reasonable but not dirt-cheap. Additional concerns: the DCF is flagged inapplicable by the valuation referee (financial services classification), but FDS is really a B2B SaaS/data business and the FCF-based analysis is quite relevant — FCF of $665M vs. market cap of $8.44B = ~7.9% FCF yield, corroborating the earnings yield figure. Revenue CAGR of ~8% over 3 years and organic ASV growth of 5.9% are positive but not hyper-growth. There is no special situation catalyst — no spinoff, restructuring, or forced selling dynamic beyond routine market price decline. New CEO is 3 months in with strategy still being defined. The Redburn downgrade flagging AI/unbundling risk is a legitimate bear case that management has not rebutted with data-driven specificity. At ~$232, FDS is a quality business trading at a fair-to-modest price — not the combination of 'good business + great price' that earns a strong Greenblatt buy signal.

Key points

EBIT/EV earnings yield ~7.8% ($748M EBIT / ~$9.53B EV) — decent but not in Greenblatt's elite tier of 15%+ targets
Greenblatt-style ROIC on tangible capital is extremely high (capital-light SaaS/data model, ~$250M net working capital, minimal fixed assets) — this is a genuinely good business on the quality axis
Magic Formula rank: excellent quality score, middling value score — only half the formula is compelling
No special-situation catalyst: no spinoff, restructuring, recapitalization, or forced-selling dynamic that creates the extra margin of safety Greenblatt prizes
FCF yield of ~7.9% ($665M FCF / $8.44B market cap) corroborates the earnings yield — fair price but not a bargain
Stock is 49% off its 52-week high, implying recent multiple compression; current valuation is more reasonable than peak but still not a deep discount
Revenue CAGR 8% over 3 years with 5.9% organic ASV growth — good compounder characteristics but not accelerating to justify premium rerate
Capital allocation is shareholder-friendly ($1B buyback authorization, consistent dividend, 1.4x leverage) — management acts like owners

Red flags

Earnings yield (~7.8%) is only moderate — Greenblatt's formula works best with 15%+ yields combined with high ROIC; at current EV, the 'cheap price' leg of the formula is absent
Redburn 'Sell' downgrade citing terminal erosion, unbundling, and AI risk raises legitimate questions about normalized EBIT sustainability — if pricing power erodes, EBIT could disappoint
New CEO (3 months in) explicitly says 'too early' for medium-term guidance — uncertainty about normalized earnings trajectory makes the EBIT input less trustworthy
Near-term margin pressure (Q2 step-down expected) means current EBIT margin of 32% may not be the true run-rate — could temporarily depress earnings yield further
Price at 52-week high (per price data showing last close = high) combined with 11% single-day jump suggests momentum-driven buying, not a contrarian value setup Greenblatt prefers
No special-situation mispricing: FDS is well-covered, widely followed, and institutional ownership is deep — the information edge that makes spinoffs/restructurings attractive does not exist here

Bruce Greenwald — 🟡 watch · 58/100 · medium confidence

FactSet is a high-quality financial data and analytics franchise that passes the basic Greenwald moat test — EPV substantially exceeds a reasonable estimate of asset reproduction value — but the market price appears to already capture most, if not all, of that franchise premium, leaving limited margin of safety. Working through the EPV: normalized operating income is approximately $748M (FY2025 operating income, which at 32.2% margin looks reasonably representative of the cycle given consistent SaaS-like revenue). Adjusting for a ~23% effective tax rate yields NOPAT of roughly $576M. Maintenance capex appears modest (~$61M reported capex vs $726M operating cash flow), suggesting D&A approximately covers maintenance needs; no significant upward adjustment required. Capitalizing $576M at a WACC I'd estimate at 8–9% for a defensive, low-beta (0.71) subscription business yields an EPV range of approximately $6.4B–$7.2B, or roughly $171–$192 per share on ~37.5M diluted shares. The current market price of $231.74 is 20–35% above this EPV range, meaning the market is paying for growth, not just for the franchise's current earnings power. Asset reproduction value is harder to pin down precisely, but with $4.2B in total assets, significant goodwill/intangibles from prior acquisitions, and the real cost of rebuilding 40+ years of proprietary data, client relationships (9,000+ clients, 16+ year avg tenure), and deeply embedded workflow integrations, I'd estimate reproduction cost at $5–7B. EPV at $6.4–7.2B modestly exceeds this, confirming a genuine franchise with real moat characteristics — customer captivity is the dominant barrier (switching costs from embedded query language, workflow integrations, proprietary content), supplemented by scale economies in data collection. The moat is real. The problem is price. At $231.74, you're paying 20–35% above EPV and fully pricing in growth. Under Greenwald discipline, growth only creates value inside a protected franchise — and this IS a protected franchise — but even so, I require a margin of safety, not a premium. The 5.9% organic ASV growth is credible but hardly explosive, and the Redburn downgrade thesis (terminal erosion, unbundling, AI substitution risk) is a legitimate challenge to whether the moat is as durable as claimed. Revenue CAGR of ~8% over 3 years is positive but decelerating. The DCF provided is flagged not-applicable by the referee (financial services classification), which is overly conservative for FactSet — this is an operating business, not a bank — but absent a formal DCF, I rely on my EPV anchor. Conclusion: real franchise, real moat, EPV confirms value creation, but current price offers no margin of safety and likely prices in 5–7 years of moat-protected growth. A watch, not a pass.

Key points

EPV estimated at $6.4B–$7.2B ($171–$192/share) based on ~$576M NOPAT capitalized at 8–9% WACC — current price of $231.74 is 20–35% above EPV, meaning the market already prices in moat-protected growth
Asset reproduction value estimated at $5–7B given proprietary datasets, 40+ year client relationships, embedded query infrastructure — EPV modestly exceeds reproduction value, confirming a genuine franchise (moat test passed)
Customer captivity is the dominant barrier: embedded FactSet Query Language, 8.4B daily API queries, 16+ year avg client tenure, >95% ASV retention rate represent real switching costs
Economies of scale in data collection and enrichment are real: 'data ingestion 10x faster without headcount adds' suggests operating leverage in proprietary content
Revenue CAGR 7.98% over 3 years, 32.2% operating margin, 28.7% FCF margin — earnings appear normalized and sustainable, not inflated by one-offs
Debt-to-equity 0.63x, current ratio 1.54x, gross leverage 1.4x — conservative balance sheet does not distort EPV calculation
$1B buyback authorization and consistent dividends suggest management confidence and capital discipline, though not a primary valuation input under EPV framework

Red flags

Market price ($231.74) is 20–35% above estimated EPV range ($171–$192/share), offering no margin of safety — the entire premium requires moat-protected growth to be realized
Redburn downgrade ($215 PT, Sell) specifically cites 'terminal erosion, unbundling, and AI risks' — these are legitimate threats to the customer captivity thesis that management did not rebut concretely on Q1 call
AI substitution risk is non-trivial: if LLM-native competitors (Bloomberg GPT, Perplexity Finance, open-source models) can replicate data enrichment and analytics at lower cost, EPV could compress materially over 5–10 years
New CEO (3 months in at Q1 call) has not yet established medium-term guidance or proven execution on cost productivity claims — 'too early for medium-term guidance' is a yellow flag for normalized earnings reliability
EPS growth of only +3% YoY despite 5.9% ASV growth indicates margin compression is real and near-term, partially offsetting revenue momentum in earnings power terms
Acquisition-driven goodwill/intangibles represent a significant portion of total assets — if acquisitions (Irwin Analytics, Liquidity Book) prove value-destructive, asset reproduction value estimate is overstated

Ray Dalio — 🟡 watch · 55/100 · medium confidence

FactSet Research Systems is a high-quality financial data compounder with meaningful macro resilience but also meaningful single-regime vulnerabilities that a Dalio-style stress test must surface. The business is not a leveraged cyclical and the balance sheet is manageable, but the valuation, growth profile, and customer demand structure all embed assumptions that work well in the current regime (disinflationary growth, active financial markets, healthy buy-side AUM) and face meaningful stress in alternative regimes.

REGIME ROBUSTNESS: FDS is partially regime-robust. Its subscription/ASV model (~91-95% retention) provides revenue stability across mild downturns — clients do not cancel data terminals quickly. In a RISING GROWTH + LOW INFLATION boom, FDS benefits from expanded buy-side AUM, active M&A, and growing wealth management headcount driving ASV expansion. In FALLING GROWTH + LOW INFLATION (deflationary bust), FDS is stickier than most cyclicals — clients cancel slowly — but AUM compression hurts wealth and institutional segments, and banking/deal-maker revenues drop sharply (Q1 FY26 shows banking contributing meaningfully). In STAGFLATION (rising inflation + falling growth), the stress is meaningful: FDS's pricing power exists but is constrained by multi-year subscription contracts; input costs rise (labor is ~60-70% of cost structure for a data/analytics firm); and client firms under margin pressure do scrutinize data vendor costs. The Redburn 'unbundling' thesis is most dangerous in stagflation — clients actively cut non-essential subscriptions. In RISING INFLATION + RISING GROWTH (reflation), FDS could benefit from nominal revenue growth if ASV price escalators track inflation, but this depends on contract structure (not fully disclosed). Net: FDS survives 3 of 4 regimes with moderate impairment, but is not truly regime-balanced.

DEBT CYCLE POSITION: Gross leverage is modest at 1.4x (per management), long-term debt of $1.37B vs. operating income of $748M. The buy-side and wealth management customers of FDS are themselves leveraged — in a credit contraction, their asset base shrinks, staffing freezes, and data vendor rationalization accelerates. FDS is a downstream beneficiary of financial sector credit expansion; it is not pulling its own demand forward via cheap credit, but its END CUSTOMERS are credit-cycle-sensitive. This is an indirect but real vulnerability.

BALANCE SHEET RESILIENCE: Current ratio 1.54, equity of $2.17B, cash of $275M vs. LTD of $1.37B. FCF of $665M provides strong coverage — FDS could service and reduce debt without capital market access. Interest coverage is comfortable. Capex is low ($61M) relative to OCF ($726M), confirming self-funding capacity. The $1B buyback authorization reduces cash buffer but is flexible. Debt maturity wall details are not available in the excerpts, which introduces uncertainty — I cannot confirm duration of existing debt.

RATE SENSITIVITY: FDS is not heavily rate-sensitive directly. It has no floating-rate-exposed asset base and demand is not financing-cost-dependent in the way housing or autos are. However: (1) higher-for-longer rates compress buy-side AUM and slow private market deal flow, hitting FDS's growth indirectly; (2) the 12.69x P/FCF and 14.14x P/E multiples are reasonable but the stock recently traded at much higher multiples — the 52-week high/low spread ($185 to $453 historically) suggests significant rate-driven multiple compression has already occurred. At $231, the stock is near its 52-week low, suggesting some value has been wrung out.

INFLATION PASS-THROUGH: Moderate. ASV contracts likely have annual price escalators, but granular contract terms are not disclosed. Labor cost inflation compresses margins (operating margin 32.2%, guiding ~150bps YoY compression). Management's AI-driven productivity gains (10x data ingestion speed, 35% of support queries automated) could offset labor inflation structurally, but this is unproven at scale. Net: inflation pass-through is partial, not strong.

DIVERSIFICATION VALUE: FDS has genuine geographic diversification (Americas ~60%, EMEA ~25%, APAC ~15% estimated from growth commentary). It is not a pure US play. Beta is 0.71, below market — providing some diversification relative to a typical equity portfolio. However, FDS is highly correlated to financial services sector health and to active management AUM trends. In a portfolio already holding financial services, buy-side, or fintech exposures, FDS adds concentration, not diversification. As a standalone holding in a diversified book, the low beta and subscription model provide modest all-weather characteristics.

FCF DURABILITY UNDER STRESS: FCF margin of 28.7% and $665M annual FCF is strong and durable in mild stress scenarios. In a severe financial crisis (2008 analog), buy-side consolidation, hedge fund closures, and AUM collapse would impair ASV significantly — the Q1 FY26 numbers show healthy metrics but no stress-test history for current management/platform is available post-acquisitions. Historical through-cycle FCF durability is a positive but the business has changed materially via acquisitions.

KEY WATCH ITEMS FROM DALIO FRAMEWORK: AI competitive risk (Redburn thesis) is a latent regime-shift risk — if AI commoditizes data provision, pricing power disappears precisely when inflation is elevated and clients are under margin pressure (worst-case compounding). New CEO (3 months in) executing strategy changes adds execution uncertainty in a regime where errors are costly. The $1B buyback at current prices adds financial engineering optionality but reduces balance sheet buffer in a stress scenario.

Key points

FCF of $665M and FCF margin of 28.7% with interest coverage well above 1x provide solid balance-sheet resilience and self-funding capacity without capital market dependence
Low beta (0.71) and subscription-based ASV model (~91-95% retention) provide partial regime robustness vs. purely cyclical alternatives
Geographic revenue diversification (Americas, EMEA, APAC) reduces single-economy concentration risk
Modest leverage (1.4x per management, $1.37B LTD vs. $726M OCF) is sustainable through a mild downturn
AI productivity gains (10x data ingestion, text-to-formula agent) could structurally offset labor cost inflation if proven at scale
Current valuation ($231 vs. 52-week range that implies historical peaks near $453) suggests significant prior multiple compression, reducing regime-shift downside vs. peak pricing

Red flags

Demand is indirectly pro-cyclical — FDS's end customers (buy-side, wealth, banking) are credit-cycle-sensitive; AUM compression in a deleveraging would impair ASV growth materially
Stagflation scenario is the key vulnerability: labor cost inflation compresses margins while clients rationalize data vendor spend and pricing power is limited by multi-year subscription contracts
AI disruption risk (Redburn's 'terminal erosion' and 'unbundling' thesis) represents a potential structural regime shift in data vendor economics — management rebuttal was not fully convincing on the Q1 call
Debt maturity wall and floating vs. fixed rate composition not confirmed in available filings — adds uncertainty to rate-sensitivity assessment
Single-regime bias: the 5.9% organic ASV growth and wealth +10% momentum embed assumptions of continued active market expansion; a prolonged deflationary bust or credit contraction would impair this trajectory
High correlation to financial services sector — adds concentration rather than diversification for any portfolio already exposed to financial markets or active management

Valuation Referee (Damodaran-style) — 🟡 watch · 55/100 · medium confidence

FactSet is a high-quality financial data compounding business with real, forecastable cash flows — a DCF is entirely appropriate and I will not abstain despite the system flagging valuation as 'not applicable' for Financial Services. That flag is correct for banks/insurers where cash flows are opaque; FDS is an enterprise SaaS/data subscription business with clean FCFF economics.

BUILDING THE DCF NARRATIVE TO NUMBERS: Revenue base: $2.32B (FY2025). 3-year CAGR of ~8%. Organic ASV growth of 5.9% in Q1 FY2026. Let us assume a base-case revenue growth path: 7% for years 1-5 (consistent with current organic trajectory plus modest pricing uplift), fading to 4% in years 6-10, then a terminal growth rate of 3% (slightly above long-run nominal GDP, justified by secular demand for financial data and workflow embeddedness).

Operating margin: Current adjusted operating margin ~36%; reported operating margin ~32.2%. I'll use ~33% on a normalized EBIT basis, with modest expansion to 35% by year 5 as productivity initiatives (10x data ingestion, AI automation of 35% of support queries) bear fruit. Applying a 24% effective tax rate yields NOPAT.

Reinvestment: Capex is reported at $60.8M (FY2023 figure used; FY2025 capex not separately clean in data). FCF margin is 28.7% on $2.32B = $665M FCF. Sales-to-capital ratio implied: with total assets $4.22B and total liabilities $2.05B, invested capital ~$2.17B equity + $1.37B LTD - $275M cash ≈ $3.27B. Revenue/Invested Capital ≈ 0.71x. This is low for a software-adjacent business, suggesting the balance sheet carries significant intangibles/goodwill from acquisitions. ROIC = $748M EBIT * (1-0.24) / $3.27B ≈ 17.3%. WACC: Beta of 0.71 with a 5% equity risk premium + 4.5% risk-free = ~8.1% cost of equity; debt cost ~4.5% after tax with D/(D+E) ~27%: WACC ≈ 7.1–7.5%. I'll use 7.5% as the base.

At 7% revenue growth, 33–35% NOPAT margins, 7.5% WACC, 3% terminal growth, ROIC > WACC (17% vs. 7.5%) with a healthy sales-to-capital of 0.7x: the intrinsic value lands in the $240–$280/share range under base assumptions, suggesting the stock at $231.74 is near-fair to slightly below fair value — not a screaming bargain but not clearly overvalued either.

REVERSE-ENGINEERING THE MARKET PRICE: At $231.74 and $665M FCF, price-to-FCF of 12.7x is remarkably low for a sticky subscription data business. However, this FCF uses 3-year-old capex; normalized FCF may be ~$600–640M. Still, a 13x FCF multiple for a business with 17% ROIC, >91% retention, and 8% revenue CAGR implies the market is pricing in growth deceleration or multiple compression — not heroic assumptions. This is actually a reasonable entry from a 'price implies expectations' lens: the embedded growth expectation is roughly 5–6% perpetual, which management already exceeds.

KEY RISKS TO THE DCF: (1) Terminal growth at 3% is aggressive if AI genuinely disrupts financial data workflows — a 2% terminal growth cuts intrinsic value by ~$25–30/share. (2) Margin expansion thesis is unproven: Q2 margins explicitly guided lower; full-year target implies ~150bps decline YoY. If margins compress to 30% and stay there, intrinsic value falls to $190–$210. (3) WACC: 7.5% is my base; if beta re-rates upward on competitive risk, 8.5% WACC cuts value by ~$20–30/share. (4) Redburn's 'unbundling and AI erosion' thesis, if correct, could break the revenue growth assumption — 4% instead of 7% growth yields intrinsic value ~$195–$210. The investment does NOT require heroic assumptions, but the margin of safety at $231 is thin: roughly 0–20% depending on which conservative scenario you stress. This is not a high-conviction value buy — it's fair value with modest upside in the base case.

Key points

ROIC of ~17% comfortably exceeds estimated WACC of 7.5%, meaning growth creates real value — key Damodaran criterion met
Price-to-FCF of 12.7x is low for a sticky subscription business; implied perpetual growth baked into price (~5–6%) is already being exceeded by current organic ASV growth of 5.9%
Revenue 3-year CAGR of ~8% with >91% client retention and 95%+ ASV retention supports a stable, forecastable cash flow profile — DCF applies cleanly
Base-case DCF ($240–$280/share) suggests stock is near-fair to modestly undervalued at $231.74, but margin of safety is thin — roughly 5–20% upside before hitting the bull case
Operating leverage potential: AI-driven cost savings (10x data ingestion, 35% of support queries automated) and tech consolidation could expand NOPAT margins from 32% toward 35%, which would push intrinsic value materially higher
Capital allocation discipline (1.4x gross leverage, $1B buyback, steady dividend) is consistent with a management team confident in free cash flow durability
Sales-to-capital ratio of ~0.7x reflects acquisition-heavy balance sheet (goodwill), but ROIC still comfortably positive — reinvestment is value-creating, not value-destroying

Red flags

Margin of safety is thin at current price: base-case intrinsic value of $240–$280 is only 5–20% above current price, leaving little room for execution risk, competitive disruption, or a WACC re-rating
Q2 margins guided explicitly lower; full-year target implies ~150bps YoY margin compression — the margin expansion thesis is deferred, not proven, and creates downside DCF risk if delays persist
Redburn 'unbundling and AI erosion' thesis (Sell, $215 PT) — if revenue growth decelerates to 4% instead of 7%, intrinsic value falls to $195–$215, implying modest downside from current price
Terminal growth assumption of 3% is at the upper bound of defensibility; AI-driven commoditization of financial data could justify a lower terminal growth rate, significantly reducing DCF output
New CEO (3 months in) with undefined medium-term guidance creates uncertainty around the reinvestment rate and capital allocation — story-to-numbers translation is harder when strategy is still being formulated
52-week high of $453 vs. current $231 suggests significant multiple compression has already occurred; understanding what changed in the market's implied growth expectations requires more granular data than available
Capex figure in fact base appears to use FY2023 data ($60.8M) rather than FY2025, creating uncertainty in the reinvestment and FCF normalization calculation

Peter Lynch — 🟡 watch · 52/100 · medium confidence

FactSet is a classic Lynch 'stalwart' — a large, profitable, well-understood business with a durable moat (embedded financial data workflows), steady but not explosive growth, and consistent capital returns. The one-sentence story: FactSet sells subscription data and analytics to investment professionals who can't easily rip it out, generating ~28% FCF margins and returning $554M/year to shareholders. The problem for my framework is the PEG. With a P/E of 14.14 and a 3-year revenue CAGR of ~8%, and EPS growth of only +3% YoY (per the Q1 2026 earnings call), the PEG is far too high to excite me — even being generous with 10-12% normalized EPS growth, that puts PEG at ~1.2-1.5, which is mediocre for a stalwart. The stock is at its 52-week HIGH (price = 52w high per the data, though notably still well off the all-time high of $453), which removes the neglected/beaten-down angle I love. On the positive side: operating margins of 32%, FCF margin of 29%, debt-to-equity of 0.63 (manageable), ROE of 27.5%, and a $1B buyback authorization signal financial health. The business is explainable, not a black box. But I categorize this as a stalwart growing at perhaps 8-12% organically, and stalwarts I want to buy at PEGs closer to 0.75-0.9 and hold for 30-50% gains — not at PEG 1.5+ at a 52-week high with margin compression in the near term and a credible Redburn 'sell' thesis on AI unbundling risk. The AI angle is interesting but unproven — 45% sequential adoption of early AI tools is not an earnings driver yet. New CEO 3 months in, medium-term guidance withheld, Q2 margins stepping down — these are watch-not-buy signals for me. I'd want to revisit if the stock pulls back 15-20% to the $185-200 range where PEG normalizes closer to 1.0.

Key points

Stalwart categorization: ~8% revenue CAGR, 32% operating margins, 29% FCF margin — high-quality but not a fast grower
P/E of 14.14 looks optically cheap, but EPS growth of only +3% YoY and ~8% revenue CAGR makes PEG unattractive at 1.5-1.8x
Business is explainable in one sentence — embedded financial data/analytics subscriptions with 91%+ retention and 16-year avg client tenure
$1B buyback authorization doubled, $554M returned to shareholders in 12 months — management has conviction in the balance sheet
Debt-to-equity 0.63, current ratio 1.54, gross leverage 1.4x — balance sheet is fine, not a concern
Organic ASV growth accelerating to 5.9% is a positive sign, but guidance was merely reaffirmed, not raised
AI products showing 45% sequential user adoption growth — early but could be a legitimate long-term tailwind if monetized
Stock at 52-week HIGH — no neglected-stock edge, institutional coverage heavy (RBC, Redburn, etc.)

Red flags

PEG of 1.77 (per fundamentals data) is well above my 1.0 threshold for a stalwart — I'm overpaying for the growth rate
EPS growth only +3% YoY (Q1 2026 vs. Q1 2025) despite 5.9% ASV growth — margins compressing, no operating leverage materializing yet
Stock at its 52-week high ($231.74 = 52w high per data) with no margin of safety and heavy analyst coverage removes the Lynch edge
New CEO only 3 months in, explicitly too early for medium-term guidance — execution uncertainty is elevated
Q2 margins expected to step down significantly due to incremental headcount and tech investments — near-term earnings headwind
Redburn downgrade to Sell ($215 PT) citing terminal erosion, unbundling, and AI risks — thesis not rebutted on earnings call
No segment margin disclosure makes it impossible to assess which growth verticals are margin-accretive vs. dilutive — opacity I dislike
Diworsification minor risk: Irwin Analytics and Liquidity Book acquisitions are being integrated with no post-close performance disclosure

Forensic Short-Seller (Chanos/Einhorn-style) — 🟡 watch · 52/100 · medium confidence

FactSet is a legitimate, cash-generative business — not a classic Chanos-style fraud or structural short. However, several forensic flags warrant scrutiny before dismissing the bear case entirely. The core earnings-vs-cash test is actually favorable: net income of $597M vs. operating cash flow of $726M means CFO exceeds net income, the opposite of what a short-seller hunts (no accruals manipulation signal here). FCF of $665M is robust vs. positive earnings, and FCF margin of 28.7% is healthy. These are the most important accounting quality signals and they clear. However, the forensic lens surfaces several secondary concerns worth flagging: (1) The valuation block is marked not-applicable for DCF (classified as financial services), but FDS is fundamentally a SaaS/data subscription business where FCF-based valuation IS appropriate — this classification error may be obscuring how the stock is priced. At $231.74, P/FCF of 12.7x and P/E of 14.1x appear cheap in isolation, but the 52-week high was $453.41 and the current price represents a ~49% drawdown from that peak, suggesting significant multiple compression has already occurred and the business may be in a structural repricing. (2) The Redburn 'terminal erosion and unbundling' thesis has not been rebutted with hard data in filings or management calls — management's response is qualitative moat claims ('90% proprietary ASV') that are impossible to audit from outside. If even 10-15% of ASV is vulnerable to commoditization, the impact on margins and growth is non-trivial. (3) Capex in the fundamentals block is pegged at $60.8M from 2023 — this is stale by two fiscal years. If capitalized software development costs are understated in the capex figure or if the company is aggressively expensing/capitalizing at different rates across periods, real FCF could differ. The actual FY2025 10-K capex needs verification against what is being capitalized vs. expensed (especially given tech modernization investments described in the Q1 call). (4) SBC and 'adjusted' earnings: management highlights adjusted EPS of $4.51 vs. GAAP figures; the gap between GAAP and adjusted metrics across multiple fiscal years should be tested — if SBC and amortization of acquired intangibles are large recurring items consistently excluded, the 'true' earnings power differs from reported. (5) Share buybacks: $1B authorization doubled, but the question is whether buybacks are shrinking share count net of SBC dilution. With 37.4M shares outstanding and heavy SBC in tech/data firms, this treadmill check matters. (6) Long-term debt of $1.37B at 1.4x leverage with $275M cash is manageable but not trivial; debt maturity schedule and covenant structure not visible from available filings. (7) Insider selling not visible in fact base — Form 4 data missing, which is a gap. The kill question: this becomes a short if (a) organic ASV growth decelerates below 4% sustainably, (b) major clients begin unbundling or selectively displacing FDS workflows with AI-native alternatives, (c) margin compression accelerates beyond guidance, or (d) the capex/SBC-adjusted FCF is materially lower than reported. The bear case is NOT proven — but the 49% stock decline from peak, a Sell rating from a credible shop citing structural risks, and thin disclosure on AI competitive dynamics make this a 'watch, not clear' from a forensic perspective.

Key points

CFO ($726M) exceeds net income ($597M) — the primary earnings quality test passes; no accruals manipulation signal
FCF of $665M with 28.7% FCF margin — genuinely cash-generative, not a zero-FCF story stock
Stock is ~49% below its 52-week high of $453.41 — significant multiple compression already occurred, raising the question of whether this is a value trap or genuine discount
Redburn Sell/$215 PT citing terminal erosion and unbundling is an outlier but forensically consistent concern that management has not rebutted with hard data
Capex data in the fact base is stale (2023 period) — actual FY2025 capex and capitalized software costs need verification to validate FCF figures
Adjusted EPS ($4.51) vs. GAAP figures gap should be tested across multiple years — recurring 'one-time' items and SBC exclusions are a classic quality-of-earnings red flag
$1B buyback authorization is bullish signal but net share count reduction vs. SBC dilution treadmill not confirmed from available data
Organic ASV growth at 5.9% is modest for a subscription software platform — insufficient to justify rich multiples if and when they return

Red flags

Stale capex figure (2023) in fundamentals block creates uncertainty about true FY2025 FCF — capitalized software development costs may not be fully reflected
No Form 4 insider selling data available — a material gap in the forensic analysis; cluster selling would be significant given 49% stock decline from peak
GAAP vs. adjusted EPS divergence not quantified across periods — SBC and acquired intangible amortization exclusions need multi-year audit
Redburn 'terminal erosion' thesis unaddressed: management's '90% proprietary ASV' claim is unauditable from public filings; 10% vulnerable ASV at $2.4B base = $240M at risk
New CEO (3 months in at time of Q1 call) with undefined medium-term strategy — 'too early for guidance' language is a governance watch flag in Chanos methodology
No segment-level profitability disclosure — cannot assess which growth segments (wealth, banking) are margin-accretive vs. dilutive
Long-term debt maturity schedule not visible from available filings — covenant structure and refinancing risk unverifiable

AI & Disruption Referee (Christensen-style) — 🟡 watch · 52/100 · medium confidence

FactSet sits squarely in the highest-risk zone for AI disruption: it is a financial data and analytics intermediary whose core product is knowledge work — aggregating, normalizing, enriching, and delivering financial data and research tools to investment professionals. The Christensen test is: can AI do the same job cheaper, faster, or good-enough? The answer is nuanced but meaningfully threatening over a 3-10 year horizon.

What FactSet actually sells and where the threat bites: FDS charges subscription fees for (1) proprietary and aggregated financial data, (2) analytics/modeling tools built on that data, and (3) workflow integration (terminals, APIs, screeners, portfolio analytics). Roughly 10% of ASV is 'enhanced/curated' data (StreetAccount, SHARK, GoRev) that management admits is technically available from public sources — this is the most commoditizable slice. The 50% 'proprietary/enriched data + tools' layer is more defensible but not immune: LLMs trained on financial data, combined with a client's own portfolio data and Bloomberg/Refinitiv feeds, increasingly approximate what FactSet wraps into a $20k/seat subscription. The 40% 'intrinsically linked to client proprietary data + FDS models' is the most durable.

The disintermediation mechanism: AI-native entrants (Visible Alpha, Koyfin, AlphaSense, Tegus) and hyperscaler offerings (Microsoft Copilot with financial data integrations, Google Vertex AI with Reuters/Refinitiv feeds) are attacking from below with cheaper, good-enough alternatives. The classic Christensen pattern: incumbents are over-serving top-tier buy-side clients (who pay premium prices for depth and reliability) while the bottom of the market — smaller RIAs, regional banks, emerging market funds — gets captured by AI-native tools at 20-40% of the price point. FactSet's wealth segment (+10% growth) is simultaneously its brightest spot and most vulnerable: wealth advisors are exactly the segment that AI-powered generic tools (Morningstar AI, Betterment-style robo analytics) can serve adequately at far lower cost.

Moat assessment — compounded or eroded? The proprietary data layer (deep-history financials, standardized fundamentals, client-specific models) is genuinely defensible because LLMs cannot fabricate accurate historical financial data without it — this is a real data moat. Workflow lock-in (16+ year average client tenure, embedded APIs, FactSet Query Language with 8.4B requests/day) creates high switching costs that AI does not easily dissolve. However, the analytics and research synthesis layer — screening, formula building, document analysis, earnings summaries — is precisely what frontier LLMs are commoditizing. Management's own disclosure that AI handles 35% of formula support queries daily confirms the substitution is real inside FDS's own product.

Management honesty credit — partial: The new CEO did not duck the AI question entirely. The 'text-to-formula' disclosure, the 45% sequential AI adoption metric, and the acknowledgment that clients are trialing multiple AI tools and asking FDS to consolidate them shows strategic awareness. The $1B buyback authorization alongside AI product investment is a reasonable capital allocation signal. However, the Redburn downgrade thesis on 'terminal erosion and unbundling' received only boilerplate pushback on the earnings call — no granular competitive win/loss data against AI-native entrants, no pricing trend disclosure, no client churn-by-segment. This is the tell: management is framing AI as a feature/tailwind and not quantifying the threat vector.

Hyperscaler capture risk — moderate: Microsoft owns OpenAI and has a deep relationship with financial services through Azure and Teams. Bloomberg has its own Bloomberg GPT and terminal AI integrations. These are better-capitalized, better-distributed competitors building toward the same workflow. FactSet's countermeasure — MCP aggregation play, governed portfolio analytics in AI workflows — is credible but early and unproven at scale.

Falsifiable calls: AI IS displacing FDS if: (1) organic ASV growth decelerates below 4% in FY2027-28 driven by mid-market churn; (2) pricing per seat declines or renewal discounts exceed 10% as clients cite AI alternatives; (3) the wealth segment reverses as robo-analytics tools displace workstation subscriptions; (4) a hyperscaler bundles financial data APIs at near-zero marginal cost. AI is NOT displacing FDS if: (1) proprietary data content commands rising prices (pricing power intact); (2) AI products generate incremental ASV above the base subscription (cross-sell proven); (3) switching costs increase as FactSet embeds deeper into post-trade and risk workflows; (4) client count and ASV retention stay above 95%/91% through FY2028.

Net verdict: FDS is not a melting ice cube, but it is not AI-proof. The data moat is real; the analytics/research workflow layer is under real commoditization pressure. Current metrics (5.9% organic ASV growth, >95% ASV retention) suggest disruption has not landed yet, but the bear thesis is structurally coherent and the valuation at P/E 14x, P/FCF 12.7x may already be pricing in some disruption risk — or may be a value trap if unbundling accelerates. The stock sits squarely in 'watch' territory from an AI disruption lens: defensible core, but meaningful and underacknowledged threat to the 30-40% of revenues most exposed to AI substitution.

Key points

Proprietary historical financial data (40-50% of ASV) is a genuine AI-resistant moat — LLMs cannot fabricate accurate audit-grade financial history and FDS's standardized data corpus is genuinely scarce
Workflow lock-in (16+ year avg tenure, 8.4B FactSet Query Language requests/day, embedded APIs) creates high switching costs that AI does not easily dissolve in short holding periods
AI-native entrants (AlphaSense, Koyfin, Tegus, Visible Alpha) are attacking the bottom of the market with cheaper, good-enough alternatives — classic Christensen low-end disruption trajectory
Management is integrating AI productively: 35% of formula support queries handled by AI, 45% sequential AI product adoption, 10x data ingestion speed — real operational tailwinds
The wealth segment (+10%) is simultaneously the fastest growing and the most exposed to commoditization by robo-analytics and AI-native wealth tech tools
Hyperscaler risk is moderate-to-real: Microsoft/OpenAI plus Bloomberg GPT have distribution and capital advantages; FactSet's MCP aggregation countermove is early and unproven
Redburn's 'terminal erosion and unbundling' thesis was not meaningfully rebutted on the Q1 call — management offered boilerplate on proprietary moats without competitive win/loss data

Red flags

10% of ASV explicitly acknowledged as 'enhanced/curated' data available from public sources — directly in the commoditization crosshairs of free/low-cost LLM-based alternatives
Analytics/research synthesis layer (screening, formula building, document summarization, earnings analysis) is precisely what frontier LLMs are cheapest at substituting — the unit of value FDS charges for is being automated
No pricing trend or renewal discount data disclosed — absence of evidence is not evidence that pricing power is intact; early commoditization typically shows in renewal discounts before headline ASV metrics move
Redburn downgrade citing 'terminal erosion and AI risks' with $215 price target received only boilerplate management rebuttal — no granular competitive displacement data provided
Wealth segment (+10%) at highest risk from AI-native wealth advisory tools (Morningstar AI, robo-analytics) that are growing fastest exactly where FDS is most exposed
No segment margin disclosure — cannot assess whether AI-exposed analytics products are already margin-dilutive, masking early erosion inside healthy aggregate metrics
Current P/E 14x and P/FCF 12.7x are historically compressed multiples for FDS — may reflect market already partially pricing disruption risk, or may be a value trap if unbundling accelerates

Stanley Druckenmiller — 🟡 watch · 48/100 · medium confidence

FDS presents a mixed setup through a Druckenmiller lens. The forward earnings direction shows modest acceleration — organic ASV growth moved from 5.2% to 5.9% sequentially, Q3 reporting imminent with $4.45 EPS consensus — but this is not the kind of explosive earnings inflection that warrants a concentrated, conviction-sized bet. The second derivative is positive but barely; guidance was reaffirmed, not raised, despite the Q1 beat, which is a management posture signal, not a catalyst. The price action is intriguing: stock at 52-week high ($231.74 as of assessment), up 10.97% recently, and a 'Why Is FDS Stock Rocketing Higher Today' headline suggests tape confirmation — this is the one element that partially supports a thesis. However, the tape has been volatile (52-week low $185, high $453.41 historically), and the current level represents what appears to be a rebound from a much deeper drawdown from prior all-time highs near $453, meaning there is massive overhead supply and no new-high breakout in the true sense. The macro/liquidity setup is unclear from the fact base — no explicit Fed tailwind signal provided, and FDS as a financial data SaaS compounder is not a pure-play liquidity beneficiary in the way a rate-sensitive bank or commodity name would be. The Rothschild Redburn Sell ($215 PT) on 'terminal erosion, unbundling, AI risks' represents a credible bear thesis that management has not rebutted on record, and AI disruption risk is exactly the kind of structural headwind that can invalidate a multi-year earnings ramp thesis. EPS grew only 3% YoY despite 5.9% ASV growth — margins are compressing near-term per management's own guidance (Q2 step-down) — which means the earnings inflection story is still prospective, not confirmed. The asymmetry is limited: upside to prior highs near $453 is theoretically large, but the path requires margin re-expansion, ASV acceleration, and AI narrative resolution — too many uncertain variables for a Druckenmiller-style concentrated bet. No defined catalyst beyond Q3 earnings (Jul 1, 2026) which could either confirm or break the thesis. The $1B buyback doubling is a capital return positive but not a macro/earnings catalyst. I watch rather than avoid because the tape is confirming short-term and the franchise quality is undeniable; I watch rather than pass because the forward earnings inflection is not sharp enough, macro/liquidity tailwind is absent from the setup, and the overhead supply from the prior $453 high creates significant resistance.

Key points

Organic ASV growth accelerating sequentially (5.2% → 5.9%) is a positive second derivative, but modest — not the explosive inflection Druckenmiller sizing requires
Stock at 52-week high with +10.97% recent move provides tape confirmation, the one bullish signal most relevant to this framework
Q3 earnings (Jul 1, 2026) is an imminent, definable catalyst — $4.45 EPS consensus — creating a clear near-term thesis test
AI product adoption >45% sequential growth and $1B buyback doubling are positive but not macro/liquidity-driven catalysts
Franchise quality is elite: 91-95% retention, 9,000+ clients, deeply embedded workflows — a durable secular winner
RBC trimmed target but sees ASV upside; RBC confirmation of thesis direction with reduced conviction is a moderate positive

Red flags

EPS grew only 3% YoY despite 5.9% ASV growth — margin compression means earnings inflection is NOT confirmed yet
Q2 margin step-down explicitly guided by management — near-term earnings deceleration is the opposite of what this framework rewards
Stock ~49% below prior all-time high (~$453) — massive overhead supply creates resistance even if short-term tape is positive
Rothschild Redburn Sell at $215 (terminal erosion, unbundling, AI risks) is unaddressed by management — credible bear thesis with no direct rebuttal
No Fed/liquidity tailwind explicitly identified — FDS is a defensive compounder, not a rate-cycle or liquidity-cycle beneficiary
Guidance reaffirmed, not raised, despite Q1 beat — management conservatism limits forward estimate revision upside, a key Druckenmiller driver
DCF valuation flagged as not applicable (financial services sector); no clean intrinsic value anchor makes thesis calibration harder

Benjamin Graham — 🟡 watch · 48/100 · medium confidence

FactSet Research Systems is an established, profitable business with a long earnings record, consistent dividends, and solid free cash flow — qualities Graham respects. However, it fails several of Graham's quantitative tests that I regard as non-negotiable for a margin-of-safety purchase. The P/E of 14.14x sits just at my defensive ceiling of ~15x, which alone might be acceptable, but the P/B of 3.89x violates my combined P/E x P/B rule (14.14 x 3.89 = 55, far above my 22.5 ceiling). The balance sheet is materially weaker than I require: current ratio of 1.54 falls short of my 2.0 minimum, and long-term debt of $1.37B vastly exceeds net working capital (current assets $708M minus current liabilities $459M = $249M working capital). There is no margin of safety from a net current asset standpoint — net current assets of $249M against a market cap of $8.44B puts the stock at roughly 34x NCAV, the antithesis of a net-net. The DCF has been flagged as not applicable by the referee, so I cannot rely on that intrinsic value estimate. Against my own bar, the earnings yield of 7.85% does modestly exceed typical high-grade bond yields, which is one bright spot, and the FCF yield (~7.9% on price-to-FCF of 12.69x) shows real cash generation. Revenue CAGR of ~8% and consistent profitability (net margin 25.7%, operating margin 32.2%) confirm earnings stability. Dividends appear uninterrupted. But the combination of a balance sheet laden with debt relative to working capital, a P/B nearly 4x, and a stock trading at its 52-week high with zero margin of safety leaves me unable to endorse a purchase. This is a quality franchise priced as such — exactly the situation where Mr. Market is optimistic, not pessimistic, and where I counsel patience rather than action.

Key points

P/E of 14.14x is just at my 15x defensive ceiling — marginally acceptable in isolation
Earnings yield of 7.85% modestly exceeds high-grade bond yields — a mild positive
FCF of $665M and FCF margin of 28.7% confirm real, recurring cash generation
Consistent profitability with net margin 25.7% and operating margin 32.2% over multiple years
Uninterrupted dividend record with $1.10/quarter dividend signals shareholder discipline
Revenue CAGR of ~8% over 3 years confirms earnings growth exceeding Graham's one-third-per-decade threshold
Client retention >95% by ASV and >91% by count supports earnings stability thesis
Stock repurchase authorization doubled to $1B reflects management confidence in balance sheet strength

Red flags

P/E x P/B = 14.14 x 3.89 = 55, far exceeding Graham's 22.5 ceiling — fails the combined multiplier test decisively
Current ratio of 1.54 falls materially short of Graham's 2.0 minimum — balance sheet insufficiently liquid
Long-term debt of $1.37B vastly exceeds net working capital of ~$249M — violates Graham's debt-to-working-capital test
NCAV is deeply negative (current assets $708M minus total liabilities $2.05B = -$1.34B) — no net-net margin of safety whatsoever
Stock is trading at its 52-week high with zero discount to recent price — Mr. Market is optimistic, not pessimistic
P/B of 3.89x represents a significant premium to book value; no asset-based margin of safety
Rothschild Redburn downgrade to Sell at $215 PT citing terminal erosion and AI unbundling risk — competitive moat not fully stress-tested
DCF flagged as not applicable by the referee, limiting ability to independently estimate intrinsic value
New CEO only 3 months in with strategy still being defined — execution risk on productivity claims

Howard Marks — 🟡 watch · 48/100 · medium confidence

FDS is a high-quality financial data compounder with durable characteristics — but my lens asks not whether this is a good business, but whether the price offers a margin of safety and an asymmetric risk/return profile. At $231.74, trading at its 52-week high, the stock embeds considerable optimism. The P/E of 14.14x and price-to-FCF of 12.69x appear superficially modest, but these metrics reflect a FY2025 snapshot; near-term margin compression is guided (Q2 step-down explicitly flagged), EPS growth was only +3% YoY in Q1 despite 5.9% organic ASV growth, and the PEG of 1.77x against ~8% revenue CAGR suggests no particular discount to intrinsic value. The stock is at its 52-week high — not a distressed, out-of-favor, or feared situation. The crowd is not panicking; Redburn's Sell at $215 is an outlier, not a sign of capitulation or revulsion. From a second-level perspective, the consensus view (quality compounder, AI tailwind, defensive moat) IS the first-level, obvious view — it is widely held and well-articulated in the narrative. My edge requires finding where consensus is wrong or where price has overshot. I do not see that here. Balance sheet is manageable (D/E 0.63, LT debt $1.37B, interest coverage implicit from $748M operating income vs. modest debt load), so no credit distress risk — but that is a baseline requirement, not a reason to buy. The $1B buyback doubling signals management confidence but can also signal a price near or above fair value being bought back, not below. AI threats (Redburn's 'terminal erosion and unbundling' thesis) are real and unquantified; if even 10-15% of ASV becomes contestable, downside to $185-200 is plausible. The DCF is flagged not applicable by the system (financial services classification), so I cannot anchor to a DCF-derived intrinsic value, which reduces my confidence. The lack of forced selling, distress, or sentiment revulsion means the margin of safety case is weak. This is a 'watch' — decent business at a full price with meaningful AI disruption optionality risk not priced-in defensively.

Key points

P/FCF of 12.69x and P/E of 14.14x appear reasonable but reflect peak margins; near-term margin compression is explicitly guided by management, and EPS growth of only +3% YoY despite 5.9% ASV growth signals earnings leverage is muted
Stock trading at its 52-week HIGH ($231.74 = 52w high), not in distressed or out-of-favor territory — no sentiment capitulation signal that would warrant a contrarian buy
Balance sheet is acceptable: LT debt $1.37B vs. $748M operating income, current ratio 1.54x, D/E 0.63 — survivable but not a fortress; no credit distress angle
Consensus bull narrative (quality moat, AI tailwind, embedded workflows) is the obvious first-level view — widely held, not differentiated; no informational or analytical edge available to the contrarian buyer here
Rothschild Redburn Sell at $215 is a serious thesis (terminal erosion, unbundling, AI commoditization) that management has not directly and granularly rebutted; represents a credible downside scenario not captured in current pricing
Revenue CAGR of ~8% with PEG 1.77x and no DCF available (system flagged N/A) makes intrinsic value estimation speculative; I cannot quantify a margin of safety with confidence
New CEO (3 months tenure at Q1 call), undefined medium-term strategy, and unproven productivity initiatives introduce execution risk that is not priced into current sentiment

Red flags

Price at 52-week high with zero discount to recent range — optimism, not fear, is what's priced in
Consensus quality-compounder narrative is overcrowded; buying the obvious first-level story is the cardinal sin in my framework
EPS growth of +3% YoY with guided near-term margin step-downs means the earnings trajectory does not support a premium valuation re-rating
AI disruption risk (unbundling, commoditization of data workflows by hyperscalers/LLM startups) is material and unquantified — asymmetric downside if Redburn thesis proves directionally correct
DCF not applicable per system — intrinsic value cannot be anchored; forces reliance on relative multiples which are sensitive to sector re-rating
No signs of forced selling, redemptions, or price-below-value dynamics that would create the asymmetric upside I require

Seth Klarman — 🔴 avoid · 32/100 · medium confidence

FactSet is a high-quality financial data and analytics business with genuine competitive advantages — deep workflow integration, sticky recurring revenue (>95% ASV retention), strong FCF generation (~$665M, 28.7% FCF margin), and a respectable operating margin of 32.2%. However, the core Klarman test fails at the first gate: there is no margin of safety at this price. At $231.74, FDS trades at 12.7x price-to-FCF and 3.6x price-to-sales, with a P/E of ~14x on reported earnings. These are not distressed, orphaned, or fear-driven multiples for a business facing genuine uncertainty — they are fair-to-full market prices for a recognized, institutionally-covered quality compounder. The stock is at or near its 52-week high ($231.74 = the listed 52-week high), meaning there is no technical dislocation, forced selling, or market panic creating an asymmetric entry. The Redburn downgrade to Sell at $215 PT is directionally suggestive but does not manufacture a Klarman-quality discount either. On downside analysis: the bear case is real and underappreciated. Rothschild/Redburn's 'terminal erosion, unbundling, and AI risks' thesis has not been credibly rebutted. AI-native competitors could structurally commoditize portions of FDS's data delivery (the 10% 'enhanced/curated' segment, and potentially more). The new CEO (3 months in) has no proven track record; productivity claims (10x data ingestion, text-to-formula agent) are anecdotal and unquantified at scale. Near-term margin compression is guided (Q2 step-down). Long-term debt of ~$1.37B at 0.63x D/E is manageable but not negligible. Book value is $2.17B vs. market cap of $8.44B — a 3.9x price-to-book that reflects almost entirely intangible franchise value (goodwill, client relationships, brand). In a liquidation or impairment scenario, tangible asset coverage is thin. The DCF is flagged not-applicable by the fact base (financial services classification), which removes the primary valuation anchor I would otherwise stress-test. Without a DCF anchor and with P/B at 3.9x, I cannot construct a conservative asset-based floor that provides a meaningful cushion. There is no special situation catalyst — no spin-off, no restructuring, no forced seller, no index deletion, no distress. Revenue CAGR of ~8% over 3 years, EPS growth of only ~3% YoY, and PEG of 1.77 all point to a fairly priced, slow-growth quality name. I would need to see the stock at $140-160 (approximately 8-9x FCF, representing a 35-40% discount to current) to find a margin of safety worth acting on. At current prices, holding cash is the more honest and disciplined position. I do not short; I simply pass.

Key points

FCF of $665M and 28.7% FCF margin confirm genuine cash generation quality
Price-to-FCF of 12.7x and P/B of 3.9x reflect full-to-fair pricing with no meaningful discount
95% ASV retention and 16+ year average client tenure demonstrate durable, sticky business model
Stock is at its 52-week high ($231.74) — zero evidence of fear-driven dislocation or forced selling
No special situation catalyst: no spin-off, restructuring, distress, or orphaned complexity
Revenue CAGR ~8% over 3 years but EPS growth only ~3% YoY — margin compression limiting earnings power translation
New CEO (~3 months in) with unproven execution; medium-term guidance withheld — elevated uncertainty premium

Red flags

No margin of safety: paying fair-to-full price for a recognized, widely-followed quality compounder
Book value of $2.17B vs. $8.44B market cap means 3.9x P/B with thin tangible asset coverage — fictional liquidation floor
Rothschild/Redburn 'terminal erosion, unbundling, AI risks' sell thesis not credibly rebutted by management on earnings call
AI competitive threats (hyperscalers, LLM-native startups) could structurally commoditize data delivery — management response was boilerplate
Near-term guided margin compression (Q2 step-down) with uncertain payoff on tech investments and headcount adds
Long-term debt of $1.37B adds downside fragility if organic growth decelerates meaningfully
Value entirely dependent on franchise/intangible worth — no hard asset backing, no NAV floor, no liquidation value

Walter Schloss — 🔴 avoid · 18/100 · high confidence

FactSet Research Systems is precisely the type of company Walter Schloss would pass on. The stock trades at a price-to-book of 3.89x, well above tangible book — and the balance sheet is dominated by intangibles and goodwill typical of a financial data business, meaning tangible book value is almost certainly negative or deeply negative once goodwill is stripped out. The 52-week high and low data in the fact base is contradictory (both listed as $231.74), but the narrative and news confirm the stock traded as high as ~$453 in recent history, meaning at ~$231 the stock is nowhere near a multi-year statistical low — it is down from a historical peak but still expensive on hard-asset terms. Long-term debt stands at $1.37B against stockholders' equity of $2.17B (debt-to-equity 0.63), which is not extreme but is leveraged for a Schloss-style balance sheet. Total liabilities of $2.05B versus total assets of $4.22B means the balance sheet is roughly half-financed by liabilities. The value of FDS rests almost entirely on recurring subscription revenue, brand, proprietary data relationships, and client stickiness — none of which Schloss could appraise from the balance sheet. There is no meaningful tangible asset cushion. The business is excellent by most metrics (28.7% FCF margin, 32% operating margin, 91%+ retention) but those qualities are priced in at P/B ~3.9x and P/FCF ~12.7x. Schloss bought dollar bills for 50 cents; FDS offers no such discount to hard assets. The DCF is flagged not applicable, and no margin of safety exists against tangible assets. The Redburn downgrade to Sell at $215 is noted but is irrelevant to this lens — the reject is purely on valuation vs. tangible book and balance sheet composition.

Key points

Price-to-book of 3.89x — well above any Schloss threshold; tangible book almost certainly negative after stripping goodwill from a data/software business
Stock is near a recent high area (~$231 vs. prior peak ~$453), not at a beaten-down statistical low — Schloss required price depression, not a moderate pullback
Long-term debt of $1.37B creates balance sheet leverage that Schloss disliked; total liabilities = $2.05B vs. $4.22B total assets
Value thesis rests entirely on intangibles: subscription revenues, client relationships, proprietary data, brand — none verifiable as hard assets on the balance sheet
Strong FCF ($665M, 28.7% margin) and operating metrics are acknowledged but already reflected in valuation; no margin of safety in assets
Dividend is paid ($1.10/quarter) — one positive Schloss feature — but insufficient to offset the rich asset-based valuation

Red flags

P/B of 3.89x is a hard disqualifier; tangible book value almost certainly deeply negative (goodwill-heavy acquisition history typical in financial data sector)
No beaten-down price: stock near 52-week high area; prior all-time high ~$453 means it has fallen but is not a Schloss-style depressed statistical bargain
Thesis entirely dependent on earnings/revenue growth narratives and intangible moat — exactly what Schloss avoided
$1.37B long-term debt on balance sheet is not conservative financing
Insider ownership and insider buying data not disclosed in fact base — cannot confirm alignment
Business complexity (AI products, managed services, international segments, recent acquisitions) exceeds Schloss's preference for simple, readable operating histories

Fact base appendix

Price

last_close: 231.74
as_of: 2026-06-27
high_52w: 231.74
low_52w: 231.74
pct_below_52w_high: 0.0

Fundamentals

last_price: 231.74
market_cap: 8442549371
fifty_two_week_low: 185.0
fifty_two_week_high: 453.41
beta: 0.707
change_pct: 10.96533
currency: USD
sector: Financial Services
industry: Financial - Data & Stock Exchanges
price_source: fmp_profile
bars: 1
entity: FACTSET RESEARCH SYSTEMS INC.
fiscal_year: 2025
revenue: 2321748000
revenue_period: 2025-08-31
net_income: 597040000
net_income_period: 2025-08-31
operating_income: 748303000
operating_income_period: 2025-08-31
operating_cash_flow: 726260000
operating_cash_flow_period: 2025-08-31
capex: 60786000
capex_period: 2023-08-31
total_assets: 4220784000
total_assets_period: 2025-11-30
total_liabilities: 2052900000
total_liabilities_period: 2025-11-30
current_assets: 708572000
current_assets_period: 2025-11-30
current_liabilities: 458772000
current_liabilities_period: 2025-11-30
stockholders_equity: 2167884000
stockholders_equity_period: 2025-11-30
cash_and_equivalents: 275448000
cash_and_equivalents_period: 2025-11-30
long_term_debt: 1368738000
long_term_debt_period: 2025-11-30
shares_outstanding: 37456326
operating_margin: 0.3223
net_margin: 0.2572
roe: 0.2754
debt_to_equity: 0.6314
current_ratio: 1.5445
roic: 0.1672
free_cash_flow: 665474000
fcf_margin: 0.2866
pe_ratio: 14.14
price_to_fcf: 12.69
price_to_sales: 3.64
revenue_cagr: 0.0798
revenue_cagr_years: 3
fundamentals_source: edgar_companyfacts
price_to_book: 3.89
earnings_yield: 0.0785
peg: 1.77

Filings reviewed

8-K (2026-04-08) https://www.sec.gov/Archives/edgar/data/1013237/000095010326005447/dp244995_8k.htm
10-Q (2026-04-02) https://www.sec.gov/Archives/edgar/data/1013237/000162828026022873/fds-20260228.htm
8-K (2026-03-31) https://www.sec.gov/Archives/edgar/data/1013237/000162828026022203/fds-20260331.htm
10-Q (2026-01-05) https://www.sec.gov/Archives/edgar/data/1013237/000162828026000223/fds-20251130.htm
10-K (2025-10-22) https://www.sec.gov/Archives/edgar/data/1013237/000162828025045769/fds-20250831.htm
10-K (2024-10-29) https://www.sec.gov/Archives/edgar/data/1013237/000101323724000141/fds-20240831.htm

Other sources

[news] Here's What to Expect From FactSet Research's Next Earnings Report - Yahoo Finance
[news] Is FactSet Research Systems Inc (FDS) a Bargain After 3.5% Drop? GF Value Says Undervalued - GuruFocus
[news] FactSet Research Systems Inc. stock underperforms Thursday when compared to competitors - MarketWatch
[news] FactSet Research Systems Inc. Actuals & Estimates (NYSE:FDS) - TradingView
[news] Should Value Investors Buy FactSet Research Systems (FDS) Stock? - Yahoo Finance
[news] FactSet Research Systems Inc. stock outperforms competitors on strong trading day - MSN
[news] FactSet Research Systems Inc. stock outperforms competitors despite losses on the day - MarketWatch
[news] Why Is FactSet (FDS) Stock Rocketing Higher Today - Yahoo Finance
[news] FactSet Research Systems Inc. stock outperforms competitors on strong trading day - MarketWatch
[news] FDS Stock Steadies As RBC Sees ASV Upside But Trims Target - StocksToTrade
[news] Comstock Resources, Inc. Stock 12‑Month Price Target Cut to $17.87, Implies 29% Upside - TradingView
[news] Replimune Group, Inc. Stock 12‑Month Price Target Raised to $7.67, Implies 31% Downside - TradingView
[news] FactSet to Report Q3 Earnings: What's in Store for the Stock? - TradingView
[news] FactSet brings governed portfolio analytics into AI workflows - Stock Titan
[news] Is FactSet Research Systems Inc. (FDS) A Good Stock To Buy Now? - Yahoo Finance
[discussion] $FDS very interesting price is going up while macd rsi ckm momentum going down. Divergence on 1 minu
[discussion] [Bullish] $FDS
[discussion] #earnings for the week of June 29, 2026

https://www.earningswhispers.com/calendar

$NKE $AVAV

[discussion] $FDS Current Stock Price: $218.62 Contracts to trade: $220.0 FDS Jul 17 2026 Call Entry: $12.00 Exit
[discussion] Wall St is expecting 4.32 EPS for $FDS Q4 [Reporting 09/17 BMO] http://www.estimize.com/intro/fds?ch
[discussion] $FDS Rothschild & Co Redburn has altered their rating of "Neutral to Sell" and target
[discussion] $FDS | Rothschild Redburn Downgrades FactSet Research Systems to Sell with $215 PT

Terminal erosion

[discussion] Wall St is expecting 4.45 EPS for $FDS Q3 [Reporting 07/01 BMO] http://www.estimize.com/intro/fds?ch
[discussion] 10 #BenjaminGraham Stocks With High #Dividend Yields $AMCR $ANDE $BDX $BRO $FDS https://talkmarkets.
[discussion] [Bullish] $FDS https://youtu.be/_bMgK0z8O-Q
[discussion] [Bullish] $FDS https://ewminteractive.com/factset-stock-attractive-already-on-way-irresistible
[discussion] $FDS Share Price: $241.13

Contract Selected: Dec 18, 2026 $240 Calls

Buy Zone: $29.24 – $36.12 Tar

[discussion] $INTU $IT $FDS $TRI $ADBE Are getting some brutal selling treatment

Can each buy back their floats

[discussion] 3 Dividend Stocks For May 2026 $FDS $BDX $TGT https://talkmarkets.com/article/3-dividend-stocks-for-
[discussion] $FDS

MCP Aggregation? The opportunity?

https://www.mattober.co/p/mcp-overload

[earnings_call] $FDS FactSet Research Systems Q1 2026 Earnings Conference Call

Generated 2026-07-17T19:57:21 · est. cost $1.46

What each investor thinks

Terry Smith (Fundsmith) Quality

pass · 78

Charlie Munger Quality

pass · 74

Michael Mauboussin Quality

pass · 72

Chuck Akre Quality

watch · 62

Warren Buffett Quality

watch · 62

Philip Fisher Growth

watch · 58

Joel Greenblatt Value

watch · 58

Bruce Greenwald Value

watch · 58

Ray Dalio Risk

watch · 55

Valuation Referee (Damodaran-style) Referee

watch · 55

Peter Lynch Growth

watch · 52

Forensic Short-Seller (Chanos/Einhorn-style) Referee

watch · 52

AI & Disruption Referee (Christensen-style) Referee

watch · 52

Stanley Druckenmiller Risk

watch · 48

Benjamin Graham Value

watch · 48

Howard Marks Risk

watch · 48

Seth Klarman Value

avoid · 32

Walter Schloss Value

avoid · 18

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Factset Research Systems Inc

FACTSET RESEARCH SYSTEMS INC (FDS) — Council Assessment

🟡 WATCH · Score 60/100 · medium confidence

360 narrative — news & sentiment digest

FactSet Research Systems (FDS) — Q1 FY2026 Investment Brief

Management Commentary (Earnings Call)

Recent Developments

Bull Narrative

Bear Narrative

Retail Sentiment

Caveats

Summary for Investment Council

Bull case

Bear case

Dissent — where the council disagrees

Key risks

Catalysts

DCF valuation

Short-sell evaluation

Council scorecard

Member reasoning

Terry Smith (Fundsmith) — 🟢 pass · 78/100 · medium confidence

Charlie Munger — 🟢 pass · 74/100 · medium confidence

Michael Mauboussin — 🟢 pass · 72/100 · medium confidence

Chuck Akre — 🟡 watch · 62/100 · medium confidence

Warren Buffett — 🟡 watch · 62/100 · medium confidence

Philip Fisher — 🟡 watch · 58/100 · medium confidence

Joel Greenblatt — 🟡 watch · 58/100 · medium confidence

Bruce Greenwald — 🟡 watch · 58/100 · medium confidence

Ray Dalio — 🟡 watch · 55/100 · medium confidence

Valuation Referee (Damodaran-style) — 🟡 watch · 55/100 · medium confidence

Peter Lynch — 🟡 watch · 52/100 · medium confidence

Forensic Short-Seller (Chanos/Einhorn-style) — 🟡 watch · 52/100 · medium confidence

AI & Disruption Referee (Christensen-style) — 🟡 watch · 52/100 · medium confidence

Stanley Druckenmiller — 🟡 watch · 48/100 · medium confidence

Benjamin Graham — 🟡 watch · 48/100 · medium confidence

Howard Marks — 🟡 watch · 48/100 · medium confidence

Seth Klarman — 🔴 avoid · 32/100 · medium confidence

Walter Schloss — 🔴 avoid · 18/100 · high confidence

Fact base appendix

Terry Smith (Fundsmith) Quality

Charlie Munger Quality

Michael Mauboussin Quality

Chuck Akre Quality

Warren Buffett Quality

Philip Fisher Growth

Joel Greenblatt Value

Bruce Greenwald Value

Ray Dalio Risk

Valuation Referee (Damodaran-style) Referee

Peter Lynch Growth

Forensic Short-Seller (Chanos/Einhorn-style) Referee

AI & Disruption Referee (Christensen-style) Referee

Stanley Druckenmiller Risk

Benjamin Graham Value

Howard Marks Risk

Seth Klarman Value

Walter Schloss Value