FactSet Research Systems (FDS) In-Depth Stock Report
A recurring-revenue financial data and analytics franchise with sticky asset-manager and banker workflows and consistent low-double-digit compounding history.
Investment Summary
Every headline number this report produces, collected in one place before the analysis that derives them. All figures are computed live at page load, so this block reflects the market as of the moment you opened the page.
- Recurring revenue is durable.
- Client retention remains best-in-class.
- AI integration provides optionality.
- Consistent dividend growth.
- FDS is a sticky financial data and analytics compounder.
- ASV growth is the primary metric; retention is the moat.
- AI is the strategic optionality.
- Subscription-based data and analytics platform for asset managers, banks, wealth managers, and corporates.
- ASV (Annual Subscription Value) is the primary top-line metric.
- Client retention consistently above 90% and price retention above 100%.
- Content and technology moat built over decades of client integration.
- Consistent dividend growth and buybacks.
Executive Summary
FactSet is a quiet but consistent compounder — sticky client workflows, price increases every year, and a track record of low-double-digit ASV growth for over a decade.
The client base is diversified across asset managers, banks, wealth managers, corporates, and hedge funds.
The AI integration story is early — natural-language querying and workflow automation are being layered onto the core platform.
The equity debate is whether growth can accelerate from mid-to-high single digits back to low double digits given competitive pressure from S&P and Bloomberg.
Multiple has moderated from prior peaks, offering more reasonable entry vs. history.
Industry & Market Backdrop
The broader competitive and macro environment FDS operates in — context a pure valuation table can't convey on its own.
Financial data and analytics remains a competitive but growing market.
AI integration is reshaping user expectations for workflow tools.
Consolidation among vendors continues; scale matters more than ever.
Client budgets have tightened at some segments; asset manager consolidation has pressured seat counts.
Live Key Statistics
Pulled live from BriMindInvest's market-data pipeline at page load — the same feed that powers /analysis/FDS. Fields the pipeline doesn't return this load are omitted rather than shown blank.
Business Overview
Analytics platform: portfolio analytics, risk, performance measurement.
Content and data: fundamentals, estimates, ownership, ESG, alternative data.
Wealth: solutions for wealth managers.
Deals and CGS: banking and corporate workflows.
Segment Deep Dive
A closer look at each reporting segment individually, rather than treating the business as a single undifferentiated revenue line.
ASV is the composite of price, product, and client-count contributions. Price has been the most consistent contributor; product expansion has been the growth vector; client counts have been mixed.
Retention above 90% is the durable moat — workflows are deeply integrated, and switching costs are high.
Natural-language querying and AI-enabled workflow tools are being layered into the platform. The strategic question is whether AI will disrupt or extend FactSet's value proposition.
Capital Allocation & Balance Sheet Philosophy
How management has historically chosen to deploy cash — buybacks, dividends, R&D, and acquisitions — and what that reveals about capital discipline.
Dividend has grown for over 20 consecutive years.
Buybacks are steady.
M&A has been selective, including the CUSIP Global Services acquisition.
Balance sheet is conservatively managed.
Management & Governance
Leadership, incentive alignment, and governance structure — factors that shape execution risk independent of the underlying business model.
Leadership has been stable with a track record of consistent execution.
Board includes financial services and data expertise.
Governance is strong.
See exactly how we get FDS's fair-value range
| Method | Relevance | Implied Value |
|---|---|---|
| Our DCF Model | High | |
| Our P/E Based | Medium | |
| Our Book Value Based | Medium | |
| Graham Number | Medium | |
| ROIC Based | Medium | |
| FCF Yield Based | High |
Forecast Revenue and Free Cash Flow
5-Year Monte Carlo Simulation
Included with a subscription or a one-time purchase of this FactSet Research Systems report:
- Fair value from 7 methods, weighted by relevance to this business
- 5-year financial forecast and DCF/earnings sensitivity grids
- Decomposed AI Score, Monte Carlo simulation, and institutional/analyst data
$3.99 is less than one bad options trade — see the model before you commit real money. And it goes straight to the small team building this, not a hedge fund's marketing budget.
Bull Case vs. Bear Case
- Recurring revenue is durable.
- Client retention remains best-in-class.
- AI integration provides optionality.
- Consistent dividend growth.
- ASV growth has moderated.
- Competitive pressure from S&P and Bloomberg is ongoing.
- Asset manager consolidation pressures seat counts.
- AI could disrupt long-term.
Related Reports
In-depth reports for other names in FactSet Research Systems's comparable set.
3 catalysts and 3 risks we're tracking for FDS
| Catalyst | Expected Impact | Timeframe |
|---|---|---|
Included with a subscription or a one-time purchase of this FactSet Research Systems report:
- Catalyst list, each tagged with expected impact and timing
- Risk register scored by probability and severity
- 4 key metrics to watch before the next earnings report
$3.99 is less than one bad options trade — see the model before you commit real money. And it goes straight to the small team building this, not a hedge fund's marketing budget.
What Would Change Our Mind?
Specific, falsifiable triggers — not vague sentiment — that would move us toward or away from the bull case above.
- ASV growth reaccelerates to high-single-digit
- AI product roadmap validated by client uptake
- Wealth segment growth accelerates
- ASV growth decelerates further
- AI-driven client migration to competing platforms
- Retention breaks below historical range
Competitive Positioning
Workflow integration is the primary moat.
Content breadth is competitive with Bloomberg and S&P Capital IQ.
Price discipline has been a hallmark.
AI positioning is emerging.
Investor Decision Framework
A process for using this report, not a recommendation — how to weigh valuation, scenario spread, and your own risk tolerance.
- Own it as a defensive compounder with quality characteristics.
- Position size for ASV growth range.
The BriMindInvest Edge
Why this report is different from asking a general-purpose AI chatbot about the stock.
- Every valuation number on this page is computed live from current market data through our own DCF, scoring, and Monte Carlo engines — not summarized or paraphrased from other analysts' reports the way a general chatbot would.
- The relevance-weighted fair value, reverse-DCF market-implied growth, fundamentals-based Monte Carlo, and scenario tables above are proprietary calculations you cannot get by asking a general-purpose AI for "FDS fair value" — those answers come from web summaries of other people's price targets, not a live, disclosed-assumption model.
- Our 1-year price-target model has a real, published backtest (see Model Track Record above where covered) — we show our work and our error rate rather than asserting accuracy.
- Numbers here are refreshed every time you load the page, not cached from a training cutoff months or years in the past.
Data Sources & Methodology
Valuation, price, and financial-statistics data in this report are fetched live from our production market-data pipeline (Yahoo Finance and Finnhub) at the time you loaded this page. The AI Score is a percentile ranking against our full covered stock universe, recomputed nightly. The fundamentals-based Monte Carlo and Bull/Base/Bear scenarios randomize growth rate, discount rate, and terminal growth around the same disclosed DCF assumptions used in the valuation table — they are not derived from resampled historical stock returns. The secondary historical-volatility simulation (2,000 bootstrap paths, seeded for reproducibility) uses the stock's own historical monthly returns and is shown separately because it measures a different thing (volatility) than the fundamentals-based model (intrinsic value).
This report is for informational and educational purposes only and does not constitute financial, investment, or tax advice, or a recommendation to buy or sell any security. All valuation models, price targets, and simulations are estimates based on historical and current data; actual results will differ, potentially substantially. Investing involves risk, including loss of principal. See our full Methodology and Disclaimer.
Free vs. Premium: What You're Getting
- Narrative overview and general bull/bear framing
- Headline price and basic company facts
- No live valuation model, AI Score, or forecast table
- Relevance-weighted fair value range and reverse-DCF market-implied growth
- 5-year financial forecast, DCF sensitivity grid, and Bull/Base/Bear scenario table
- Fundamentals-based Monte Carlo and decomposed AI Score with sub-factor components
- Real, published backtested accuracy where FDS is in our coverage set
Glossary of Key Terms
Plain-English definitions for the terms used throughout this report, for readers newer to equity valuation.
Frequently Asked Questions
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