(FDS) FactSet Research Systems Inc. Company Overview

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What does FactSet Research Systems do?

FactSet Research Systems Inc. is a financial data, analytics, workflow, and enterprise software company serving investment professionals. Its core product is not a single database; it is a connected platform used by portfolio managers, analysts, bankers, wealth advisors, risk teams, data engineers, and market-infrastructure clients to research securities, manage portfolios, run analytics, distribute data, and support reporting. The company is headquartered in Norwalk, Connecticut, and trades under FDS on both the NYSE and Nasdaq, according to its fiscal 2025 annual report.

FactSet matters because it sits inside recurring decision workflows rather than one-off information searches. The company says its purpose is to deliver trusted, connected financial data and analytics for confident decisions, and its investor site summarizes the model with more than $2.3B of annual revenue, more than 95% ASV retention, and roughly 240K global users on its platform, as described on the FactSet investor-relations page.

$2.32B
FY2025 revenue
$2.49B
Organic ASV, Q3 FY2026
9,130
Clients at May 31, 2026
247,766
Users at May 31, 2026

Which clients and workflows does it serve?

FactSet’s client base is broader than a desktop-terminal story. It serves institutional buy-side firms, dealmakers, wealth-management teams, and market-infrastructure clients. The workflow range is also wide: investment research, portfolio construction, performance measurement, risk, trade execution, reporting, security master data, and managed services. That breadth is important for student and investor analysis because it makes FactSet a subscription software and data platform with financial-market cyclicality, not a conventional advertising, transaction, or hardware company.

Identity item FactSet-specific answer Why it matters
Ticker and listing FDS; listed on NYSE and Nasdaq The same ticker is used across both official listing venues.
Business type Financial digital platform and enterprise solutions provider Revenue quality depends on recurring subscriptions, data rights, workflow depth, and analytics usage.
Segments Americas, EMEA, and Asia Pacific Regional performance is the official reporting lens for revenue and operating income.
Major client groups Institutional Buy-Side, Dealmakers, Wealth, and Market Infrastructure These firm types show where ASV growth is coming from and how resilient demand may be.
Scale indicator More than 9,100 clients and more than 247,000 users at Q3 FY2026 Scale supports data licensing leverage, product breadth, and client-service economics.
Financial dataPortfolio analyticsEnterprise feedsManaged servicesCUSIP identifiersAI-assisted workflows

How does FactSet make money?

FactSet earns most of its revenue through subscriptions. Clients pay for access to data, analytics, applications, workstations, APIs, enterprise feeds, portfolio tools, and managed services. The model is attractive when clients expand users, add datasets, renew contracts, or adopt additional workflow products. It is pressured when asset managers cut budgets, consolidate vendors, reduce headcount, or replace parts of the stack with internal or competing tools.

Why ASV is the core economic metric

The company’s most important operating metric is annual subscription value, or ASV. ASV approximates the next twelve months of recurring subscription revenue from clients and therefore connects commercial momentum to future revenue. In Q3 FY2026, FactSet reported $2.4856B of organic ASV, up 7.1% year over year and up $35.4M over the prior three months, in its Q3 fiscal 2026 earnings release.

1. License data
FactSet sources, normalizes, and licenses financial, company, market, benchmark, identifier, and alternative datasets.
2. Embed workflow
Users access research, portfolio, wealth, risk, and reporting tools through workstations, APIs, feeds, and managed services.
3. Renew and expand
Contracts convert into ASV; expansion comes from more seats, more content, more enterprise use cases, and price increases.
4. Convert to cash
Recurring revenue, high retention, and moderate capital intensity support operating cash flow and shareholder returns.

How do client type revenues translate into growth?

FactSet’s Q3 FY2026 presentation separated ASV by firm type: Institutional Buy-Side was $1.207B, Dealmakers $470M, Wealth $392M, and Market Infrastructure $417M. That mix is useful because buy-side demand anchors the platform, while wealth and market-infrastructure workflows extend FactSet into advisor technology, identifiers, and enterprise data delivery.

ASV
Institutional Buy-Side — $1.207B, about 48.6%
Dealmakers — $470M, about 18.9%
Wealth — $392M, about 15.8%
Market Infrastructure — $417M, about 16.8%

The analytical implication is that FactSet is exposed to investment-industry budgets but not to one single workflow. A research analyst may know the workstation, a data team may license feeds, an advisor may use wealth dashboards, and a market-infrastructure client may need identifiers. That multi-product relationship is the center of the business model.

Which segments, clients, and geographies matter most?

FactSet reports three operating segments by geography: Americas, EMEA, and Asia Pacific. For FY2025, the Americas generated $1.506B of revenue, or 64.9% of total revenue; EMEA generated $580.3M, or 25.0%; and Asia Pacific generated $235.4M, or 10.1%. The geographic mix matters because financial-market employment, asset flows, regulation, and currency movement affect each region differently.

FY2025 revenue mix by reported geography
Americas — $1.506B, 64.9%
EMEA — $580.3M, 25.0%
Asia Pacific — $235.4M, 10.1%
Period: FY2025. The Americas are the largest revenue pool, but APAC had the highest reported revenue growth rate in FY2025.

How concentrated is revenue in the Americas?

The Americas segment is both the largest revenue region and an important profit contributor. In FY2025 it produced $306.0M of operating income, compared with $274.0M in EMEA and $168.3M in Asia Pacific. Asia Pacific is smaller but strategically important because FactSet has large centers of excellence there: the annual report said 8,854 of its 12,800 employees were in APAC at fiscal year-end 2025, supporting a global delivery model.

Segment FY2025 revenue Revenue share FY2025 operating income Interpretation
Americas $1.506B 64.9% $306.0M Largest client and revenue base; central to ASV growth and enterprise relationships.
EMEA $580.3M 25.0% $274.0M Smaller revenue base than Americas but high operating income contribution.
Asia Pacific $235.4M 10.1% $168.3M Smallest revenue region, but critical to delivery scale and centers of excellence.

What does FactSet's latest quarter show?

The latest official reporting period is Q3 FY2026, the quarter ended May 31, 2026. FactSet reported $622.9M of GAAP revenue, up 6.4% year over year, and organic revenue growth of 7.0%. Organic ASV reached $2.4856B, up 7.1%. Those figures point to solid commercial expansion, while profit margins show that reinvestment, acquisition-related costs, restructuring, and transaction-related items can move reported operating income even when the subscription base grows.

$622.9M
Revenue, Q3 FY2026; up 6.4% year over year
$166.3M
GAAP operating income, Q3 FY2026; 26.7% operating margin
$254.0M
Free cash flow, Q3 FY2026; up 11.1% year over year
$3.50
GAAP diluted EPS, Q3 FY2026; adjusted diluted EPS was $4.53

What changed in Q3 FY2026?

The Q3 filing shows the tension between revenue durability and expense timing. Revenue rose from $585.5M in Q3 FY2025 to $622.9M in Q3 FY2026. Cost of services increased to $312.2M, SG&A increased to $144.4M, and operating income declined from $194.2M to $166.3M. Net income was $126.7M, and diluted EPS was $3.50, with details in FactSet’s Q3 fiscal 2026 Form 10-Q.

Metric Q3 FY2026 Q3 FY2025 What it means
Revenue $622.9M $585.5M Growth was supported by workstations, data solutions, and expansion across all segments.
GAAP operating income $166.3M $194.2M Reported profitability declined because expenses and special items outweighed revenue growth in the quarter.
Adjusted operating margin 34.0% 36.8% The adjusted margin remained high, but lower than the prior-year quarter.
Net income $126.7M $148.5M GAAP net income declined, while adjusted EPS increased because the share count was lower.
Operating cash flow $284.5M $253.8M Cash conversion was strong despite the decline in GAAP net income.

Why do margin lines need context?

FactSet’s Q3 FY2026 GAAP operating margin was 26.7%, while adjusted operating margin was 34.0%. For valuation work, the gap matters: a DCF model should not blindly capitalize one quarter’s GAAP margin if the company is absorbing transaction, restructuring, or integration-related items, but it also should not ignore the possibility that AI investment, compensation, data costs, and product development pressure the steady-state margin.

Q3 FY2026 revenue by geography
Americas$407.2M
EMEA$152.0M
Asia Pacific$63.7M
Period: Q3 FY2026. Bar widths are scaled to the Americas segment, the largest reported region.

What gives FactSet a durable competitive advantage?

FactSet’s moat is built from workflow integration, data breadth, client trust, and high switching costs. A financial-data platform becomes more valuable when it sits inside a client’s research process, data architecture, portfolio analytics, compliance reporting, and decision records. Replacing a vendor is therefore not just a price comparison; it can require retraining users, rebuilding data pipelines, testing calculations, and renegotiating content rights.

For FactSet, the strategic tension is simple: the subscription base is sticky because clients depend on the workflow, but the same clients are sophisticated enough to demand better data, AI tooling, and price discipline every year.

Why switching costs matter in financial data

The company’s retention data supports the switching-cost argument. FactSet reported annual ASV retention above 95% and client retention of 90% at Q3 FY2026. Those figures are not a guarantee of future growth, but they show that most of the revenue base renews even when markets are volatile. The broader lesson for MBA readers is that FactSet competes less like a commodity data vendor and more like a mission-critical workflow utility for financial institutions.

Retention qualityStrong: ASV retention above 95%
Workflow depthStrong: workstation, data, portfolio, and enterprise use cases
Client concentration resilienceModerate: budgets still tied to financial-services cycles
AI transition readinessDeveloping: opportunity and execution risk both rising

How AI changes the opportunity and the risk

FactSet is positioning AI as a way to make financial workflows faster, not as a separate consumer application. The Q3 FY2026 release said more than 90% of its top 50 clients used four or more AI products. The opportunity is higher product engagement and more embedded enterprise contracts. The risk is that AI outputs can create accuracy, compliance, reputational, and intellectual-property exposure if results are wrong, biased, insufficiently explainable, or based on data usage that clients or regulators challenge.

Low growth / Low workflow depth
Commodity content tools are easier to replace and have weaker pricing power.
High growth / Low workflow depth
New AI tools can grow quickly but may be vulnerable if they lack trusted data controls.
Low growth / High workflow depth
Mature enterprise feeds can be sticky but need continued value proof.
High relevance / High workflow depth
FactSet’s target position is trusted data plus analytics embedded in client workflows.

How did FactSet become strategically important?

FactSet’s history is best understood as a gradual move from financial-data access into integrated decision infrastructure. The turning points that matter today are those that increased client dependence, broadened the product set, expanded data rights, or changed the capital structure.

Which turning points still matter today?

  1. 1978
    FactSet was founded. The long operating history matters because trust, data quality, and institutional relationships compound slowly in financial information services.
  2. 1996
    The company became publicly traded. Public ownership helped fund product expansion while forcing consistent disclosure around subscription economics and profitability.
  3. 2015
    FactSet completed the Portware acquisition, expanding from analytics into execution-management workflows and covering more of the portfolio lifecycle through the trader’s desk, as described in the official Portware acquisition announcement.
  4. 2021
    FactSet joined the S&P 500. Index inclusion reflected scale, maturity, and relevance inside U.S. public markets.
  5. 2022
    FactSet completed its acquisition of CUSIP Global Services for identifier and reference-data capabilities; the company said CGS covered more than 50 million global financial instruments in its official CUSIP Global Services completion release.
  6. 2025
    Sanoke Viswanathan became CEO in September 2025. The transition increases attention on AI, enterprise relationships, execution discipline, and capital allocation under new leadership.
  7. 2026
    Q3 FY2026 showed organic ASV growth of 7.1% and revenue growth of 6.4%, suggesting the platform was still expanding despite margin pressure and elevated reinvestment.

The pattern is consistent: FactSet has used product development and acquisitions to move deeper into financial workflows. The strategic question is whether that depth can keep compounding while clients review vendor stacks, test AI-native tools, and demand measurable productivity gains.

How financially strong is FactSet?

FactSet’s financial profile combines high recurring revenue, strong margins, and meaningful cash generation with debt from acquisitions and shareholder returns. In FY2025, revenue was $2.3217B, operating income was $748.3M, net income was $597.0M, and diluted EPS was $15.55. At Q3 FY2026, the company had $288.1M of cash and equivalents, $16.1M of investments, and total debt of about $1.3897B.

What do margins, cash conversion, and debt show?

34.0%
Adjusted operating margin, Q3 FY2026. The arc shows adjusted operating income as a share of revenue; GAAP operating margin for the same period was 26.7%.

The margin structure is still attractive for a data and analytics platform. However, the difference between GAAP and adjusted profitability should be examined carefully. A good model should separate recurring subscription economics from acquisition amortization, restructuring, integration, and other adjustments, then decide how much of the adjustment gap is temporary versus structural.

Financial signal Latest figure Period Interpretation
Revenue $2.3217B FY2025 Annual baseline grew 5.4% from FY2024.
Operating margin 32.2% FY2025 Shows a high-margin subscription platform before latest-quarter pressure.
Free cash flow $254.0M Q3 FY2026 Operating cash flow of $284.5M less capital expenditures produced strong cash conversion.
Cash and investments $304.2M May 31, 2026 Cash plus investments provide liquidity but are below total debt.
Total debt $1.3897B May 31, 2026 Debt is manageable for a cash-generative model but should be monitored against rates and maturities.

How does capital allocation affect the story?

FactSet returns cash through dividends and repurchases while also funding acquisitions, product development, AI investment, and data infrastructure. In Q3 FY2026, it repurchased 926,370 shares for $203.1M and had $494.0M remaining under its repurchase authorization at May 31, 2026. It also increased the quarterly dividend by 5%, from $1.10 to $1.16 per share.

Share repurchases
$203.1M
Q3 FY2026 repurchases; lower share count helped adjusted EPS growth.
Dividends
$41.5M
Q3 FY2026 dividend payment was scheduled after the board approved a 5% increase.
Available authorization
$494.0M
Repurchase authorization remaining at May 31, 2026.

Who owns FactSet stock, and why does governance matter?

FactSet has a conventional public-company ownership profile: no founder-class voting control, no dual-class structure, and significant influence from large institutions. That matters because capital allocation, executive incentives, and board oversight are shaped more by broad institutional expectations than by a controlling founder or strategic shareholder.

Is control concentrated?

The latest proxy statement listed 37,509,725 shares outstanding as of October 1, 2025. Vanguard beneficially owned 4,559,571 shares, or 12.2%; BlackRock owned 3,473,642, or 9.3%; BAMCO owned 2,478,027, or 6.6%; Morgan Stanley owned 2,167,472, or 5.8%; and State Street owned 1,932,533, or 5.2%, according to FactSet’s 2025 proxy statement.

Holder or group Beneficial ownership Share percentage Why it matters
Vanguard 4.56M shares 12.2% Large passive ownership reinforces focus on governance, capital returns, and long-term disclosure quality.
BlackRock 3.47M shares 9.3% Another major passive holder; influence comes through voting guidelines and stewardship.
BAMCO 2.48M shares 6.6% Active institutional ownership can increase scrutiny of growth and margin execution.
Directors and executive officers as a group 0.44M shares 1.2% Insider ownership is meaningful but not controlling.

What does the board structure signal?

The proxy also said ten of eleven current directors were independent and that the company separates the roles of Chair and CEO. Malcolm Frank became independent Board Chair in September 2025, while Sanoke Viswanathan became CEO. For investors, that governance profile suggests oversight of a leadership transition rather than a controlled-company dynamic. The relevant question is whether the board balances AI investment, acquisition integration, margin discipline, and shareholder returns without over-optimizing for one metric.

Competitors, data dependency, and client budgets shape the risk map

FactSet competes in a market where customers are sophisticated, data is expensive, and workflows are critical. The strongest competitors include Bloomberg, LSEG Workspace and Refinitiv assets, S&P Global Market Intelligence, MSCI, Morningstar, PitchBook, Envestnet, and specialized data, analytics, and AI vendors. The rivalry is not only about price; it is about content depth, data rights, analytics accuracy, workflow integration, API quality, enterprise reliability, and client service.

Where does competition press hardest?

Competitive front Relevant rivals FactSet response Investor interpretation
Desktop and research workflow Bloomberg, LSEG, S&P Global, Morningstar Deepen content, analytics, workstations, and productivity tools. Retention and seat growth show whether switching costs remain strong.
Enterprise data and APIs LSEG, S&P Global, MSCI, specialized data vendors Offer connected data delivery, managed services, identifiers, and security-master capabilities. Data quality and licensing rights are as important as interface design.
Wealth and advisor technology Advisor platforms, data vendors, CRM and portfolio tools Bundle wealth dashboards, proposal tools, and AI-assisted monitoring. Wealth ASV growth can diversify FactSet beyond institutional research budgets.
AI-native workflow tools Financial AI startups and large platform providers Use trusted datasets, entitlements, and workflow context as an AI safety and adoption advantage. AI raises both product opportunity and substitution risk.

Which filing risks are most material?

FactSet’s own filings point to several company-specific risks. First, client demand depends on the health of asset managers, banks, wealth platforms, and corporate deal activity. Second, the company relies on third-party data providers; the annual report said two suppliers each represented more than 10% of total data costs in FY2025. Third, AI products introduce accuracy, compliance, reputational, and intellectual-property risk. Fourth, privacy and cross-border data rules such as GDPR and other country-level regimes can increase compliance costs and constrain product design.

ASV retention above 95%
A decline would signal weaker switching costs or stronger price pressure.
Organic ASV growth
Q3 FY2026 growth was 7.1%; a slowdown would affect the revenue runway.
Data supplier concentration
Two suppliers each exceeded 10% of FY2025 data costs; renewals and rights matter.
AI product reliability
Errors, bias, or entitlement issues can weaken trust in mission-critical workflows.
Financial-services hiring and budgets
Client consolidation, headcount pressure, or market downturns can reduce seat demand.
Leverage and rates
Debt was about $1.39B at May 31, 2026; rates affect interest expense and capital flexibility.

Why does FactSet's business model matter for valuation?

FactSet is a useful DCF case because the central variables are not mysterious: subscription revenue growth, ASV retention, pricing power, margin sustainability, capital intensity, cash conversion, debt cost, and capital allocation. The challenge is judging durability. If FactSet keeps expanding ASV at mid-single-digit or better rates while protecting adjusted operating margins in the mid-30% range, the platform can compound cash flows. If competition, AI disruption, data costs, or client budget pressure compress growth and margins together, valuation sensitivity increases quickly.

Which drivers matter in a DCF?

DCF driver FactSet metric to use Latest anchor Modeling implication
Revenue growth Organic ASV growth and organic revenue growth 7.1% organic ASV growth; 7.0% organic revenue growth in Q3 FY2026 ASV is the forward-looking bridge from bookings to recurring revenue.
Operating margin GAAP and adjusted operating margin 26.7% GAAP; 34.0% adjusted in Q3 FY2026 A model should test whether adjusted margins normalize or gradually compress.
Cash conversion Operating cash flow minus capex $254.0M free cash flow in Q3 FY2026 Recurring revenue can produce strong free cash flow when working capital and capex are controlled.
Capital intensity Capital expenditures, capitalized software, and data infrastructure $87.3M property, equipment, and software purchases in the first nine months of FY2026 Higher AI and platform investment can reduce near-term free cash flow but support future retention.
Capital allocation Repurchases, dividends, acquisitions, and debt repayment $506.0M repurchases and $122.7M dividends in the first nine months of FY2026 Shareholder returns affect per-share value, but debt and reinvestment needs set the limit.

What should researchers monitor next?

The company’s own FY2026 outlook in the Q3 presentation called for GAAP revenue of $2.450B to $2.470B, organic ASV growth of $130M to $160M, GAAP operating margin of 29.5% to 31.0%, and adjusted operating margin of 34.0% to 35.5%, according to the Q3 FY2026 earnings presentation. Those ranges provide a near-term benchmark for revenue durability and margin execution.

Growth check
Watch organic ASV additions and client count. If users grow but ASV slows, price or mix may be weakening.
Margin check
Compare GAAP and adjusted operating margins. A persistent widening gap deserves a conservative model adjustment.
Cash check
Track free cash flow after capex and capitalized software. AI and data infrastructure can change cash intensity.
Balance-sheet check
Monitor debt maturities, floating-rate borrowings, and the balance between buybacks and deleveraging.

What is the key takeaway from FactSet analysis?

FactSet is best understood as a recurring-revenue financial workflow company whose value depends on data trust, client retention, product expansion, and disciplined reinvestment. It is not immune to competition or market cycles, but its placement inside investment workflows gives it a stronger recurring base than many financial-services suppliers. The Q3 FY2026 evidence is mixed but constructive: revenue, ASV, users, and free cash flow grew, while GAAP margins and net income declined from the prior-year quarter.

What should students and investors remember?

For a student, FactSet is a strong case study in switching costs, data licensing, enterprise subscriptions, and workflow strategy. For an investor or analyst, the research question is whether ASV growth and AI-enabled product expansion can offset higher costs, competitive pressure, and debt-funded capital allocation. The company’s story should be monitored through ASV retention, organic ASV growth, regional revenue, adjusted margin quality, free cash flow, debt, and the pace at which AI products become revenue-expanding rather than merely cost-increasing.

Final synthesis
FactSet’s durable advantage is not simply that it sells financial data; it sells trusted data, analytics, identifiers, and workflow infrastructure that investment professionals use repeatedly. The strongest version of the thesis is sustained ASV growth with high retention, stable mid-30% adjusted operating margins, and cash flow that supports dividends, buybacks, and product investment. The weaker version is a market where client budgets tighten, AI competitors reduce differentiation, data costs rise, and the margin gap between GAAP and adjusted results remains wide. The essential watch item is whether FactSet’s platform becomes more embedded as financial institutions modernize data and AI workflows.

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