FactSet posts strong cash generation — funding buybacks and AI bets while revenue growth reaccelerates#
FactSet ([FDS]) closed FY2024 with $2.20B in revenue (+5.26% YoY) and $614.66M in free cash flow, a level that exceeded reported net income and financed $235.24M of share repurchases and $150.67M in dividends during the year. According to FactSet’s FY2024 filings (filed 2024-10-29), the company converted earnings into cash at a high rate and used that cash to both return capital and reduce gross leverage, even as it steps up investments in AI-enabled product delivery and targeted data deals. This combination — reliable subscription economics, high free cash flow conversion, and a programmatic AI pivot — creates a central tension for investors: can FactSet convert its product modernization into sustainable ASV reacceleration without sacrificing margin or balance-sheet optionality?
Professional Market Analysis Platform
Make informed decisions with institutional-grade data. Track what Congress, whales, and top investors are buying.
Financial performance: revenue, margins and cash flow trends#
FactSet’s FY2024 top line of $2,200.00M represents a year-over-year increase of +5.26% from $2,090.00M in FY2023 (growth = (2,200 - 2,090)/2,090 = +5.26%). Gross profit rose to $1,190.00M, yielding a gross margin of 54.09% on our calculation (1,190 / 2,200 = 54.09%). Operating income of $701.30M produced an operating margin of 31.88%, and reported net income of $537.13M equated to a net margin of 24.42%. These margin levels reflect enduring operating leverage in a subscription-based model and appear resilient even as the company invests in product modernization and data partnerships (see strategic section below) FactSet FY2024 annual report.
More company-news-FDS Posts
FactSet Research Systems Inc. (FDS) Latest Growth Strategy and Financial Insights
Explore FactSet's AI integration, BondCliQ expansion, and CEO leadership driving strong ASV growth and financial performance in 2025.
FactSet Research Systems Inc. (FDS) AI Strategy and Leadership Shift Drive Growth
FactSet's AI integration, BondCliQ investment, and CEO transition underpin strong revenue growth and enhanced fixed income data capabilities.
FactSet Research Systems Inc. Strategic Analysis: Fixed Income Growth & Financial Performance Insights
Deep dive into FactSet's fixed income expansion via BondCliQ, AI-driven analytics, and robust financials shaping its competitive edge in financial data services.
Free cash flow was a standout: $614.66M, a conversion of +14.42% relative to net income in absolute terms (614.66 / 537.13 = 1.1442, or FCF = 114.42% of net income). On a margin basis, free cash flow margin was 27.94% (614.66 / 2,200). That level of FCF enabled a net cash deployment to shareholders of $385.91M in FY2024 (sum of dividends and buybacks), while the company still reduced total debt and maintained a substantial intangible base (goodwill and intangibles ~ $2.86B). The operating cash flow of $700.34M also exceeded net income and underscores the quality of earnings from a cash-perspective. These figures are drawn from FactSet’s FY2024 cash flow statement FactSet FY2024 annual report.
Our independent calculations of leverage show a net-debt picture that improved over the year depending on the cash metric used. Using FactSet’s reported total debt of $1.57B and cash & cash equivalents of $422.98M, net debt is approximately $1.15B (1.57 - 0.42298 = 1.14702B). If cash + short-term investments ($492.60M) are used instead, net debt is roughly $1.08B (1.57 - 0.4926 = 1.0774B). Either way, net leverage versus FY2024 EBITDA (EBITDA = $872.88M) implies net-debt/EBITDA of ~+1.32x (using the $1.15B net-debt figure) — a conservative, manageable level for a high-cash-generating subscription business. We flag the discrepancy in net-debt calculation methodology and use both bases below to clarify the balance-sheet picture FactSet FY2024 balance sheet.
Income statement trend table (FY2021–FY2024)#
Year | Revenue (USD) | Gross Profit (USD) | Operating Income (USD) | Net Income (USD) | EBITDA (USD) |
---|---|---|---|---|---|
2024 | 2,200,000,000 | 1,190,000,000 | 701,300,000 | 537,130,000 | 872,880,000 |
2023 | 2,090,000,000 | 1,110,000,000 | 630,210,000 | 468,170,000 | 788,000,000 |
2022 | 1,840,000,000 | 972,790,000 | 475,480,000 | 396,920,000 | 610,360,000 |
2021 | 1,590,000,000 | 805,040,000 | 474,040,000 | 399,590,000 | 581,080,000 |
(Values per FactSet FY2024 and prior-year filings; calculations by Monexa AI.)
Balance sheet and cash deployment: measured deleveraging plus capital returns#
FactSet’s balance sheet shows large intangible assets consistent with its content-heavy model — goodwill & intangibles = $2.86B as of FY2024 — and a capital structure that has shifted over recent years. Total assets were $4.06B with total stockholders’ equity of $1.91B. The company paid $150.67M in dividends and repurchased $235.24M of common stock in FY2024, while financing activity net usage totaled -$560.85M, reflecting shareholder returns and debt paydowns FactSet FY2024 balance sheet and cash flow.
Calculated key balance-sheet ratios (using FY2024 snapshots) show a current ratio of 1.25x (current assets $835.85M / current liabilities $667.07M) and a total-debt-to-equity ratio of roughly 82.25% (total debt $1.57B / equity $1.91B). Management and third-party metrics sometimes report a slightly different debt-to-equity or current ratio depending on the debt and cash proxies used; we emphasize both sets so readers understand methodological variance when comparing published ratios.
Balance sheet & cash flow highlights (FY2024)#
Metric | Reported | Monexa calc / note |
---|---|---|
Cash & cash equivalents | 422,980,000 | Reported FY2024 cash balance |
Cash + Short-term investments | 492,600,000 | Reported FY2024 combined cash-like assets |
Total Debt | 1,570,000,000 | Total debt (short + long-term) |
Net Debt (vs cash) | 1,147,020,000 | (1.57B - 422.98M) used in many creditor metrics |
Net Debt (vs cash+ST investments) | 1,077,400,000 | (1.57B - 492.60M) alternate basis |
Free Cash Flow | 614,660,000 | Reported FY2024 FCF |
Dividends paid | 150,670,000 | Reported FY2024 dividends |
Share repurchases | 235,240,000 | Reported FY2024 buybacks |
(Calculations by Monexa AI using FactSet FY2024 financials.)
Quality of earnings and capital allocation: cash-first profile#
FactSet’s earnings quality is strong by conventional measures: operating cash flow of $700.34M exceeds net income, and free cash flow has consistently tracked above $480M in recent years (FY2022–FY2024 free cash flow: $487.12M, $584.79M, $614.66M respectively). This steady FCF generation funds dividends (TTM dividend per share $4.22) and a disciplined repurchase program while leaving room for incremental strategic investment. The FY2024 capital expenditure level was $85.68M, or roughly 3.90% of revenue — modest given the company’s need to invest in cloud, product modernization and AI platform work.
The firm has been an active acquirer and content investor historically (see earlier acquisitions in FY2022), and the FY2024 cash flow profile suggests management can continue to fund targeted inorganic moves without materially impairing shareholder distributions or balance-sheet health. That said, the company’s balance sheet is not cash-rich relative to the size of its intangibles, so future large-scale M&A would likely require outside financing or a more aggressive drawdown of cash and leverage.
Strategic pivot: AI, Mercury platform, and targeted data investments#
FactSet has publicly repositioned product strategy around embedded generative AI features and an enterprise model-governance layer identified internally as its platform backbone. Management’s strategic intent — to embed AI within workflows rather than sell standalone point products — is visible across product road maps and in targeted investments, including a lead stake in BondCliQ to shore up fixed-income transaction-level data.
This strategic shift is meaningful for three reasons. First, the company’s core economics (Annual Subscription Value — ASV) are highly sticky; embedding AI into seat-based workflows creates an upsell vector that preserves subscription stickiness while increasing per-seat monetization. Second, FactSet’s large content base and customer-specific integrations provide a defensible moat for workflow embedding: quality of training and provenance of data are selling points for institutional clients. Third, Mercury-like centralized model governance is a necessary enterprise control for regulated financial institutions and may accelerate enterprise adoption where compliance is a gating factor.
However, execution risk is non-trivial. Building reliable enterprise AI features at scale requires continued engineering investment, rigorous model governance, and the ability to show measurable productivity improvements that translate into paid upgrades. FactSet’s demonstrated capacity to convert product enhancements into ASV increases will be the key metric to watch in coming quarters.
Competitive dynamics: where FactSet sits relative to Bloomberg and other players#
FactSet’s competitive proposition is not about replacing Bloomberg’s real-time terminal strengths; instead, FactSet appears to double down on workflow-depth, customization, and data integrations that are valuable to asset managers, wealth firms and private markets participants. Its strengths are durable content relationships, deep integrations with client environments, and modular seat economics that permit incremental monetization through premium modules.
The main competitive risks are (a) larger rivals investing heavily in AI and tooling, (b) disaggregation of data (clients sourcing best-of-breed point solutions), and (c) margin pressure from higher engineering and data costs. FactSet’s response — a centralized AI platform, selective data investments (e.g., BondCliQ), and embedding AI into subscription tiers — is coherent with defending its installed base and raising client lifetime value, but success depends on measurable ASV outcomes and retention metrics.
Analyst expectations and forward multiples#
Analyst estimates embedded in FactSet’s consensus show revenue and EPS growth out to 2029: consensus-formatted estimates show revenue rising to roughly $2.88B by FY2029 and EPS of about $23.00 in FY2029. Forward P/E multiples decline across the forecast horizon (company-provided forward P/E: 2025 = 22.03x, 2026 = 20.63x, down to 2029 = 16.36x), reflecting expected earnings expansion. On an enterprise-value basis, reported FY2024 EV/EBITDA is ~17.79x in company-provided metrics; our EV estimate (MarketCap $14.508B + debt $1.57B - cash $0.423B = EV ≈ $15.655B) divided by FY2024 EBITDA $872.88M yields ~17.94x, in line with published figures and indicating a premium multiple typical for high-quality subscription data providers FactSet valuation tables and estimates.
What this means for investors#
FactSet enters FY2025 with a clear strategic narrative: convert robust, subscription-driven cash flows into AI-enabled product enhancements that reaccelerate ASV. The company’s strengths are predictable cash generation (FCF margin ~27.94% in FY2024), capacity to return capital (buybacks + dividends), and an installed base that is amenable to workflow-driven upsells. The central variables to monitor are (1) quarterly ASV trends and seat expansion metrics that demonstrate monetization of AI features, (2) incremental margin impact from rising R&D/product development and any data licensing costs, and (3) net-debt trajectory if management pursues larger M&A or accelerates buybacks.
If FactSet can show a sustained uptick in ASV and per-seat ARPU tied to AI module adoption without a material step-up in cash burn, that will validate the strategy of embedding AI into subscription economics. Conversely, if engineering investments outpace monetization or if competitive players deliver superior enterprise AI experiences, ASV growth could disappoint even with strong cash flows.
Key takeaways#
FactSet combines recurring subscription economics with high-quality cash conversion. FY2024 highlights include $2.20B revenue (+5.26% YoY), $614.66M free cash flow, and shareholder returns of $235.24M in buybacks plus $150.67M in dividends. Management is reallocating a portion of that cash into an AI-first product modernization (centralized platform and workflow features) and selective data investments to deepen fixed-income capabilities. Net leverage is modest — net-debt/EBITDA near +1.32x by our calculations — providing flexibility for a mix of organic product investment, small-to-medium acquisitions, and continued capital return.
Conclusion: strategy aligns with balance-sheet capacity — watch ASV proof-points#
FactSet’s FY2024 results show a company with durable subscription margins and strong cash generation, choosing to reinvest part of that cash into strategic AI initiatives while maintaining disciplined capital returns. The strategic direction — embedding AI into workflows and strengthening fixed-income data through targeted investments — aligns with the company’s historical strengths in content and client integration. The near-term story will hinge on execution: the ability to turn product enhancements into measurable ASV growth and to demonstrate that incremental revenue justifies sustained engineering investment. For market participants, the most actionable signals will be quarterly ASV disclosures, per-seat ARPU trends, and incremental margin movement tied to product monetization. All financial figures and estimates referenced above are based on FactSet’s FY2024 filings and company-provided estimates (see FactSet investor relations) and Monexa AI’s independent calculations.
What this means for investors: FactSet is executing a measured transformation funded by robust cash flow; the investment case depends on measurable ASV outcomes and conservative balance-sheet management rather than on speculative upside from AI alone.
(Reports and figures referenced: FactSet FY2024 annual report and filings; FactSet investor relations pages.)