FactSet Research Systems (FDS)
Market Price (5/20/2026): $225.67 | Market Cap: $8.3 BilSector: Financials | Industry: Financial Exchanges & Data
FactSet Research Systems (FDS)
Market Price (5/20/2026): $225.67Market Cap: $8.3 BilSector: FinancialsIndustry: Financial Exchanges & Data
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
Attractive yieldTotal YieldTotal Yield = Earnings Yield + Dividend Yield, Earnings Yield = Net Income / Market Cap Dividend Yield = Total Dividends / Market Cap is 9.2%, ERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is 5.1%, FCF Yield is 8.3% Attractive cash flow generationCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 33%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 28% Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -26% Stock buyback supportStock Buyback 3Y Total is 1.0 Bil Low stock price volatilityVol 12M is 39% Megatrend and thematic driversMegatrends include Fintech & Digital Payments, Cloud Computing, and Digital & Alternative Assets. Themes include Wealth Management Technology, Show more. | Weak multi-year price returns2Y Excs Rtn is -89%, 3Y Excs Rtn is -121% Meaningful short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 14% | Key risksFDS key risks include [1] a reported material weakness in its internal control over financial reporting related to IT general controls. |
| Attractive yieldTotal YieldTotal Yield = Earnings Yield + Dividend Yield, Earnings Yield = Net Income / Market Cap Dividend Yield = Total Dividends / Market Cap is 9.2%, ERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is 5.1%, FCF Yield is 8.3% |
| Attractive cash flow generationCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 33%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 28% |
| Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -26% |
| Stock buyback supportStock Buyback 3Y Total is 1.0 Bil |
| Low stock price volatilityVol 12M is 39% |
| Megatrend and thematic driversMegatrends include Fintech & Digital Payments, Cloud Computing, and Digital & Alternative Assets. Themes include Wealth Management Technology, Show more. |
| Weak multi-year price returns2Y Excs Rtn is -89%, 3Y Excs Rtn is -121% |
| Meaningful short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 14% |
| Key risksFDS key risks include [1] a reported material weakness in its internal control over financial reporting related to IT general controls. |
Qualitative Assessment
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1. Decline in Operating Margins due to Increased Investments.
FactSet experienced a notable decrease in its operating margins in the second quarter of fiscal 2026, ending February 28, 2026. The GAAP operating margin fell by approximately 220 basis points to 30.3% year-over-year, and the adjusted operating margin decreased by 230 basis points to 35.0%. This decline was primarily attributed to higher operating expenses, including increased employee compensation and technology-related costs, which are partly a result of ongoing strategic investments, such as those in artificial intelligence initiatives.
2. Negative Analyst Sentiment and Reduced Price Targets.
Despite FactSet generally surpassing analyst estimates for Q2 fiscal 2026 revenues and adjusted earnings per share, and raising its full-year guidance, market analysts reacted with caution. Several firms either lowered their price targets or maintained "underweight" or "sell" ratings. For example, on April 1, 2026, Goldman Sachs lowered its price target from $253 to $217, while UBS Group reduced its target from $425 to $380. The overall consensus rating among seventeen analysts shifted to "Reduce."
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Stock Movement Drivers
Fundamental Drivers
The -12.3% change in FDS stock from 1/31/2026 to 5/19/2026 was primarily driven by a -11.7% change in the company's P/E Multiple.| (LTM values as of) | 1312026 | 5192026 | Change |
|---|---|---|---|
| Stock Price ($) | 253.05 | 221.93 | -12.3% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 2,361 | 2,401 | 1.7% |
| Net Income Margin (%) | 25.4% | 24.5% | -3.6% |
| P/E Multiple | 15.8 | 13.9 | -11.7% |
| Shares Outstanding (Mil) | 37 | 37 | 1.3% |
| Cumulative Contribution | -12.3% |
Market Drivers
1/31/2026 to 5/19/2026| Return | Correlation | |
|---|---|---|
| FDS | -12.3% | |
| Market (SPY) | 6.3% | 4.4% |
| Sector (XLF) | -3.9% | 28.3% |
Fundamental Drivers
The -16.1% change in FDS stock from 10/31/2025 to 5/19/2026 was primarily driven by a -16.6% change in the company's P/E Multiple.| (LTM values as of) | 10312025 | 5192026 | Change |
|---|---|---|---|
| Stock Price ($) | 264.38 | 221.93 | -16.1% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 2,322 | 2,401 | 3.4% |
| Net Income Margin (%) | 25.7% | 24.5% | -4.8% |
| P/E Multiple | 16.7 | 13.9 | -16.6% |
| Shares Outstanding (Mil) | 38 | 37 | 2.3% |
| Cumulative Contribution | -16.1% |
Market Drivers
10/31/2025 to 5/19/2026| Return | Correlation | |
|---|---|---|
| FDS | -16.1% | |
| Market (SPY) | 8.2% | 5.8% |
| Sector (XLF) | -1.6% | 25.8% |
Fundamental Drivers
The -47.9% change in FDS stock from 4/30/2025 to 5/19/2026 was primarily driven by a -53.3% change in the company's P/E Multiple.| (LTM values as of) | 4302025 | 5192026 | Change |
|---|---|---|---|
| Stock Price ($) | 426.03 | 221.93 | -47.9% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 2,254 | 2,401 | 6.5% |
| Net Income Margin (%) | 24.1% | 24.5% | 1.7% |
| P/E Multiple | 29.9 | 13.9 | -53.3% |
| Shares Outstanding (Mil) | 38 | 37 | 2.9% |
| Cumulative Contribution | -47.9% |
Market Drivers
4/30/2025 to 5/19/2026| Return | Correlation | |
|---|---|---|
| FDS | -47.9% | |
| Market (SPY) | 33.8% | 9.7% |
| Sector (XLF) | 6.4% | 28.2% |
Fundamental Drivers
The -44.3% change in FDS stock from 4/30/2023 to 5/19/2026 was primarily driven by a -59.1% change in the company's P/E Multiple.| (LTM values as of) | 4302023 | 5192026 | Change |
|---|---|---|---|
| Stock Price ($) | 398.34 | 221.93 | -44.3% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 2,008 | 2,401 | 19.6% |
| Net Income Margin (%) | 22.3% | 24.5% | 9.8% |
| P/E Multiple | 34.1 | 13.9 | -59.1% |
| Shares Outstanding (Mil) | 38 | 37 | 3.7% |
| Cumulative Contribution | -44.3% |
Market Drivers
4/30/2023 to 5/19/2026| Return | Correlation | |
|---|---|---|
| FDS | -44.3% | |
| Market (SPY) | 83.3% | 30.4% |
| Sector (XLF) | 61.7% | 40.0% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| FDS Return | 47% | -17% | 20% | 2% | -39% | -22% | -29% |
| Peers Return | 43% | -24% | 32% | 15% | -8% | -16% | 28% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 8% | 97% |
Monthly Win Rates [3] | |||||||
| FDS Win Rate | 83% | 50% | 67% | 42% | 25% | 40% | |
| Peers Win Rate | 63% | 37% | 60% | 53% | 50% | 32% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 60% | |
Max Drawdowns [4] | |||||||
| FDS Max Drawdown | -12% | -28% | -11% | -19% | -47% | -36% | |
| Peers Max Drawdown | -11% | -35% | -21% | -14% | -28% | -28% | |
| S&P 500 Max Drawdown | -5% | -25% | -10% | -8% | -19% | -9% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: SPGI, MCO, MSCI, MORN, TRI. See FDS Returns vs. Peers.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2026 data is for the year up to 5/19/2026 (YTD)
How Low Can It Go
| Event | FDS | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -14.2% | -18.8% |
| % Gain to Breakeven | 16.6% | 23.1% |
| Time to Breakeven | 37 days | 79 days |
| 2023 SVB Regional Banking Crisis | ||
| % Loss | -11.3% | -6.7% |
| % Gain to Breakeven | 12.7% | 7.1% |
| Time to Breakeven | 61 days | 31 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -26.4% | -24.5% |
| % Gain to Breakeven | 35.9% | 32.4% |
| Time to Breakeven | 168 days | 427 days |
| 2020 COVID-19 Crash | ||
| % Loss | -33.6% | -33.7% |
| % Gain to Breakeven | 50.5% | 50.9% |
| Time to Breakeven | 67 days | 140 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -16.2% | -19.2% |
| % Gain to Breakeven | 19.3% | 23.8% |
| Time to Breakeven | 57 days | 105 days |
| 2015-2016 China Devaluation / Global Growth Scare | ||
| % Loss | -20.8% | -12.2% |
| % Gain to Breakeven | 26.3% | 13.9% |
| Time to Breakeven | 166 days | 62 days |
In The Past
FactSet Research Systems's stock fell -14.2% during the 2025 US Tariff Shock. Such a loss loss requires a 16.6% gain to breakeven.
Preserve Wealth
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Asset Allocation
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| Event | FDS | S&P 500 |
|---|---|---|
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -26.4% | -24.5% |
| % Gain to Breakeven | 35.9% | 32.4% |
| Time to Breakeven | 168 days | 427 days |
| 2020 COVID-19 Crash | ||
| % Loss | -33.6% | -33.7% |
| % Gain to Breakeven | 50.5% | 50.9% |
| Time to Breakeven | 67 days | 140 days |
| 2015-2016 China Devaluation / Global Growth Scare | ||
| % Loss | -20.8% | -12.2% |
| % Gain to Breakeven | 26.3% | 13.9% |
| Time to Breakeven | 166 days | 62 days |
| 2008-2009 Global Financial Crisis | ||
| % Loss | -42.7% | -53.4% |
| % Gain to Breakeven | 74.5% | 114.4% |
| Time to Breakeven | 292 days | 1085 days |
In The Past
FactSet Research Systems's stock fell -14.2% during the 2025 US Tariff Shock. Such a loss loss requires a 16.6% gain to breakeven.
Preserve Wealth
Limiting losses and compounding gains is essential to preserving wealth.
Asset Allocation
Actively managed asset allocation strategies protect wealth. Learn more.
About FactSet Research Systems (FDS)
AI Analysis | Feedback
1. Bloomberg for financial data and analytics.
2. A specialized Google for finance professionals, providing market data and analytical tools.
AI Analysis | Feedback
```html- Research Workflow Solutions: These services provide tools and data to support the financial research process for investment professionals.
- Analytics and Trading Workflow Solutions: FactSet offers applications and data specifically designed for financial analytics and supporting trading activities.
- Content and Technology Solutions: This category encompasses the delivery of financial content and the underlying technological infrastructure to clients.
- Wealth Workflow Solutions: These are specialized services and applications tailored to meet the unique needs of wealth advisors and managers.
AI Analysis | Feedback
FactSet Research Systems (FDS) sells primarily to other companies and entities within the financial services industry. Its major customer categories include:
- Investment banks
- Asset managers
- Wealth advisors/Wealth management firms
- Corporate clients
- Other financial services entities
AI Analysis | Feedback
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Sanoke Viswanathan, Chief Executive Officer
Sanoke Viswanathan was appointed Chief Executive Officer of FactSet in early September 2025, succeeding Phil Snow. Prior to joining FactSet, he spent over 15 years at JPMorgan Chase, where his most recent role was CEO of International Consumer and Wealth. His experience at JPMorgan Chase also includes serving as Chief Strategy and Growth Officer, Chief Administrative Officer of the Corporate & Investment Bank, and Managing Director and Head of Corporate Strategy. Before his tenure at JPMorgan, Mr. Viswanathan was a partner at McKinsey & Company, where he co-headed their global corporate and investment banking practice.
Helen Shan, Chief Financial Officer
Helen Shan is FactSet's Executive Vice President and Chief Financial Officer, a role she returned to effective July 23, 2024. She previously served as CFO from 2018 to 2021 and as Chief Revenue Officer from 2021 to 2024. Ms. Shan oversees global finance, including accounting, corporate development, financial planning and analysis, investor relations, real estate, tax, and treasury. Before her time at FactSet, she held the position of CFO for Mercer and served as Vice President and Treasurer for Marsh and McLennan Companies and Pitney Bowes Inc. She holds dual bachelor's degrees from the University of Pennsylvania's Wharton School and School of Applied Science and Engineering, and an MBA from Cornell's SC Johnson College of Business.
Bob Stolte, Chief Technology Officer
Bob Stolte assumed the role of Chief Technology Officer at FactSet on March 2, 2026. In this position, he is responsible for overseeing platform modernization, engineering, operational resilience, cybersecurity, and the company's enterprise technology strategy. Mr. Stolte brings extensive experience in leading large-scale technology transformations within global financial institutions to FactSet.
Kate Stepp, Chief AI Officer
Kate Stepp was appointed Chief AI Officer for FactSet, effective March 2, 2026. In this role, she leads FactSet's AI services for clients, driving the development and deployment of AI capabilities across products and client solutions. Prior to this appointment, Ms. Stepp served as FactSet's Chief Technology Officer since September 2022. She joined FactSet in July 2008 as a Lead Software Engineer and has held various significant roles within the company, including SVP, Senior Director of Engineering, Research Solutions, and Senior Director of Product Management. She holds a B.S. in Computer Science from Carnegie Mellon University.
Goran Skoko, Chief Revenue Officer
Goran Skoko became FactSet's Chief Revenue Officer on September 1, 2024. He previously served as Executive Vice President, Managing Director of EMEA and Asia Pacific, and Head of Dealmakers and Wealth at FactSet. Mr. Skoko brings two decades of experience in sales, product, and engineering at FactSet, having successfully built the company's Wealth Management business, expanded market share, and cultivated strong global client relationships.
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Key Risks to FactSet Research Systems (FDS)
FactSet Research Systems Inc. faces several key risks in the evolving financial data and analytics landscape. The most significant challenges include intensifying competition driven by artificial intelligence (AI) advancements, a material weakness in internal controls over financial reporting, and persistent cost pressures leading to margin compression. The rapidly **intensifying competition and the rise of AI disruption** pose the most significant threat to FactSet's business. The company operates in a highly competitive sector, facing established rivals such as Bloomberg and Refinitiv, as well as emerging technology firms. A substantial portion of FactSet's revenue comes from workflow solutions, which are increasingly vulnerable to more efficient and cost-effective AI-driven alternatives developed by competitors. FactSet's ability to integrate AI into its products and differentiate its offerings will be crucial for its future success. Secondly, FactSet has disclosed a **material weakness in its IT general controls over financial reporting** in its 2024 Annual Report. This deficiency directly impacts key financial processes and threatens the accuracy and timeliness of its financial statements. Remediation efforts are currently underway and are expected to conclude in fiscal year 2026. Failure to effectively address these issues could erode investor confidence, lead to legal challenges, and negatively affect the company's stock price and market access. Finally, FactSet is experiencing **growing cost pressures and anticipated margin compression**. Operating expenses have been trending upward, impacting margins and near-term earnings growth. The company's planned investments, particularly in critical AI initiatives and product enhancements, are expected to reduce profit margins. To maintain profitability, FactSet must implement a robust cost control strategy to prevent expense growth from outpacing its revenue.AI Analysis | Feedback
The clear emerging threat to FactSet Research Systems (FDS) stems from the rapid advancements and adoption of **AI-driven analytical platforms, especially those leveraging large language models (LLMs)**. These emerging technologies have the potential to fundamentally transform how financial data is accessed, synthesized, and analyzed, offering a disruptive alternative to traditional terminal-based systems.
Similar to how the iPhone introduced a superior user experience and app ecosystem that displaced BlackBerry's hardware-centric approach, or how Netflix's streaming model disrupted Blockbuster's physical rentals, AI-powered platforms could offer a more intuitive, natural language-driven approach to financial intelligence. Instead of relying on complex queries or navigating through numerous modules, users could leverage AI to dynamically generate insights, reports, and analyses from vast datasets with unprecedented speed and personalization. This paradigm shift could challenge FactSet's established workflow solutions, integrated applications, and pricing models by offering potentially more efficient, accessible, and cost-effective methods for financial professionals to conduct research, analytics, and trading activities.
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FactSet Research Systems Inc. (FDS) operates within a large and growing addressable market, which the company itself estimates to be over $40 billion globally. FactSet provides integrated financial information and analytical applications, workflow solutions, content and technology solutions, and wealth management solutions to the investment community.
Addressable Market Sizes for Main Products and Services:
Financial Analytics:
- The global financial analytics market was valued at approximately USD 10.9 billion in 2023. This market is projected to reach around USD 28.3 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 11.6% between 2024 and 2032.
- Another estimate places the global financial analytics market size at USD 12.57 billion in 2024, with a projection to reach USD 29.65 billion by 2033, exhibiting a CAGR of 8.96% from 2025 to 2033.
- North America is a dominant region in this market, holding a significant share. For instance, the U.S. financial analytics market alone accounted for 70% of the revenue share in North America in 2023.
Wealth Management Solutions (WealthTech):
- The global wealthtech solutions market was valued at USD 8.01 billion in 2025. It is projected to grow to USD 29.98 billion by 2034, demonstrating a CAGR of 15.79% during the forecast period of 2026-2034.
- Other reports suggest the global Wealth Tech Solution Market size is expected to reach USD 16.48 billion by 2032, with a CAGR of 13.9%.
- North America is a leading region in the global wealthtech solutions market, having dominated in 2024 and expected to hold approximately 35% of the market share by 2035.
Investment Management Software:
- The global investment management software market was valued at approximately USD 3.5 billion in 2023 and is projected to reach USD 7.6 billion by 2032, with a CAGR of 9.2%.
- Another source indicates the global investment management software market size was USD 3.845 billion by the end of 2025 and is projected to reach USD 7.9 billion by 2033, growing at a CAGR of 9.42% from 2025 to 2033.
- North America holds the largest share of this market, accounting for nearly 40% in 2023 and an estimated 38.90% in 2025.
- The global portfolio management software market size is expected to grow from USD 6.79 billion in 2023 to USD 22.55 billion by 2033, at a CAGR of 12.75%. North America is also estimated to hold the largest share of the portfolio management software market.
Workflow Solutions/Automation:
- The global workflow automation market size was valued at USD 18.67 billion in 2024 and is projected to reach USD 99.05 billion by 2032, exhibiting a CAGR of 23.56% from 2025 to 2032.
- Another estimate for the global workflow management system market size was USD 19.83 billion in 2024, projected to grow to USD 216.15 billion by 2033, at a CAGR of 30.4% during the period of 2025-2033.
- North America is a significant market for workflow automation and management systems, holding approximately 36.44% of the workflow automation market in 2024 and 38% of the workflow management system market in 2024.
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FactSet Research Systems (FDS) is expected to drive future revenue growth over the next 2-3 years through several key initiatives and market dynamics:
- Expansion within Key Client Segments: FactSet anticipates continued revenue growth through deeper penetration within its existing client base and the acquisition of new clients, particularly within the institutional buy-side and wealth management segments. This is supported by organic Annual Subscription Value (ASV) growth stemming from expansion within existing clients and an increase in total client count and users, with wealth and asset managers leading user growth.
- Strategic Investment and Adoption of AI-Powered Solutions: A significant driver of future revenue is FactSet's accelerated investment and integration of Artificial Intelligence (AI) into its offerings. The company is launching new AI products, integrating advanced AI financial crime risk management tools, and has appointed a Chief AI Officer to advance its enterprise AI and platform strategy. The CEO emphasized that AI amplifies FactSet's essential capabilities, with strong sequential growth in AI product adoption.
- Leveraging an Open Platform Strategy and Advanced Content & Technology Solutions: FactSet is focused on enhancing its competitive advantage by continuously developing and advancing its open platform, emphasizing the quality and breadth of its proprietary financial data and technology. This strategy aims to deliver tailored solutions and streamline workflows for clients across various sectors.
- Shift Towards Recurring Revenue Models with Managed Services: The company is strategically shifting its offerings towards providing more managed services and less project-based services. This approach underscores a focus on the recurring nature of its revenues, aiming for more stable and predictable revenue streams.
AI Analysis | Feedback
FactSet Research Systems Inc. (FDS) has undertaken several capital allocation decisions over the last three to five fiscal years (roughly 2021-2025).Share Repurchases
- FactSet repurchased shares worth $177 million in fiscal year 2023, $235 million in fiscal year 2024, and $300.4 million in fiscal year 2025.
- A new share repurchase program was announced on June 23, 2025, authorizing the company to repurchase up to $400 million worth of its shares. This program is valid through September 30, 2026.
- For the quarter ending November 30, 2025, FactSet reported $131.35 million in stock buybacks.
Share Issuance
- FactSet Research Systems' shares outstanding decreased by 0.6% in 2025 to 0.038 billion and by 0.72% in 2024 to 0.039 billion.
- Shares outstanding saw a 0.42% increase in 2023 from 2022, after which they declined.
- Direct dollar amounts for share issuances are not explicitly provided in the available information, though changes in shares outstanding reflect net activity including repurchases and potential issuances.
Outbound Investments
- In February 2025, FactSet acquired LiquidityBook for $246.5 million in cash to integrate cloud-native trading solutions and enhance workflow capabilities for clients.
- FactSet acquired LogoIntern in March 2025, aimed at streamlining the process of adding and formatting logos in pitch decks.
- The company completed the acquisition of CUSIP Global Services in December 2021 for $1.92 billion.
Capital Expenditures
- Capital expenditures were $61.33 million in fiscal year 2021, $51.16 million in 2022, $60.79 million in 2023, $85.68 million in 2024, and $108.81 million in 2025.
- The latest twelve months capital expenditures, as of November 2025, reached $113.8 million.
- For fiscal year 2026, projected capital expenditures are approximately $90 million. These expenditures generally support the company's operational infrastructure and technology advancements.
Latest Trefis Analyses
Trade Ideas
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| 04302026 | EEFT | Euronet Worldwide | Dip Buy | DB | P/E OPMDip Buy with Low PE and High MarginBuying dips for companies with tame PE and meaningfully high operating margin | 0.0% | 0.0% | 0.0% |
| 04242026 | HOMB | Home BancShares | Insider | Insider Buys | Low D/EStrong Insider BuyingCompanies with strong insider buying in the last 1 month, positive operating income and reasonable debt / market cap | 1.5% | 1.5% | 0.0% |
| 03312026 | HBAN | Huntington Bancshares | Insider | Insider Buys 45DStrong Insider BuyingCompanies with multiple insider buys in the last 45 days | 7.1% | 7.1% | 0.0% |
| 03312026 | NP | Neptune Insurance | Insider | Insider Buys 45DStrong Insider BuyingCompanies with multiple insider buys in the last 45 days | 3.9% | 3.9% | 0.0% |
| 03272026 | JKHY | Jack Henry & Associates | Monopoly | MY | Getting CheaperMonopoly-Like with P/S DeclineLarge cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple | 0.3% | 0.3% | -4.0% |
| 01302026 | FDS | FactSet Research Systems | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | -10.1% | -10.1% | -25.3% |
Research & Analysis
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Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 316.16 |
| Mkt Cap | 40.1 |
| Rev LTM | 5,451 |
| Op Inc LTM | 1,926 |
| FCF LTM | 1,770 |
| FCF 3Y Avg | 1,652 |
| CFO LTM | 2,152 |
| CFO 3Y Avg | 2,009 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 8.5% |
| Rev Chg 3Y Avg | 9.7% |
| Rev Chg Q | 10.1% |
| QoQ Delta Rev Chg LTM | 2.5% |
| Op Inc Chg LTM | 14.0% |
| Op Inc Chg 3Y Avg | 17.7% |
| Op Mgn LTM | 36.0% |
| Op Mgn 3Y Avg | 34.5% |
| QoQ Delta Op Mgn LTM | 0.5% |
| CFO/Rev LTM | 35.9% |
| CFO/Rev 3Y Avg | 35.5% |
| FCF/Rev LTM | 31.7% |
| FCF/Rev 3Y Avg | 30.7% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 40.1 |
| P/S | 6.4 |
| P/Op Inc | 18.7 |
| P/EBIT | 17.4 |
| P/E | 25.2 |
| P/CFO | 17.6 |
| Total Yield | 5.8% |
| Dividend Yield | 1.2% |
| FCF Yield 3Y Avg | 3.6% |
| D/E | 0.1 |
| Net D/E | 0.1 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | -5.0% |
| 3M Rtn | 7.3% |
| 6M Rtn | -16.8% |
| 12M Rtn | -32.7% |
| 3Y Rtn | 2.0% |
| 1M Excs Rtn | -10.0% |
| 3M Excs Rtn | -2.6% |
| 6M Excs Rtn | -26.6% |
| 12M Excs Rtn | -55.8% |
| 3Y Excs Rtn | -73.6% |
Comparison Analyses
Price Behavior
| Market Price | $221.93 | |
| Market Cap ($ Bil) | 8.2 | |
| First Trading Date | 06/28/1996 | |
| Distance from 52W High | -52.1% | |
| 50 Days | 200 Days | |
| DMA Price | $218.04 | $270.19 |
| DMA Trend | down | up |
| Distance from DMA | 1.8% | -17.9% |
| 3M | 1YR | |
| Volatility | 46.2% | 39.1% |
| Downside Capture | -51.86 | 77.69 |
| Upside Capture | 22.41 | -30.50 |
| Correlation (SPY) | -0.4% | 8.2% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 1.01 | 0.43 | 0.59 | 0.46 | 0.46 | 0.61 |
| Up Beta | 0.89 | 0.79 | 0.88 | 0.77 | 0.81 | 0.76 |
| Down Beta | -1.60 | -1.39 | -1.16 | -0.50 | -0.14 | 0.50 |
| Up Capture | 99% | 72% | 49% | 37% | 1% | 13% |
| Bmk +ve Days | 15 | 22 | 31 | 66 | 141 | 428 |
| Stock +ve Days | 14 | 26 | 37 | 71 | 128 | 396 |
| Down Capture | 295% | 71% | 137% | 92% | 105% | 91% |
| Bmk -ve Days | 4 | 18 | 30 | 56 | 108 | 321 |
| Stock -ve Days | 8 | 17 | 27 | 54 | 124 | 357 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with FDS | |
|---|---|---|---|---|
| FDS | -52.6% | 39.0% | -1.81 | - |
| Sector ETF (XLF) | 0.6% | 14.6% | -0.18 | 27.7% |
| Equity (SPY) | 25.0% | 12.1% | 1.55 | 8.8% |
| Gold (GLD) | 40.0% | 26.8% | 1.23 | -8.8% |
| Commodities (DBC) | 49.4% | 18.5% | 2.03 | -1.5% |
| Real Estate (VNQ) | 9.7% | 13.4% | 0.45 | 14.4% |
| Bitcoin (BTCUSD) | -25.6% | 41.9% | -0.59 | 15.3% |
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Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with FDS | |
|---|---|---|---|---|
| FDS | -6.5% | 27.1% | -0.24 | - |
| Sector ETF (XLF) | 8.7% | 18.6% | 0.35 | 42.7% |
| Equity (SPY) | 14.2% | 17.0% | 0.65 | 43.0% |
| Gold (GLD) | 19.3% | 18.0% | 0.87 | -0.1% |
| Commodities (DBC) | 11.0% | 19.4% | 0.45 | 4.7% |
| Real Estate (VNQ) | 4.0% | 18.8% | 0.11 | 41.7% |
| Bitcoin (BTCUSD) | 9.4% | 55.6% | 0.38 | 19.3% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with FDS | |
|---|---|---|---|---|
| FDS | 4.9% | 27.3% | 0.21 | - |
| Sector ETF (XLF) | 12.5% | 22.2% | 0.52 | 52.1% |
| Equity (SPY) | 15.3% | 17.9% | 0.73 | 56.5% |
| Gold (GLD) | 13.0% | 16.0% | 0.67 | 2.2% |
| Commodities (DBC) | 8.4% | 17.9% | 0.38 | 14.7% |
| Real Estate (VNQ) | 5.1% | 20.7% | 0.21 | 48.2% |
| Bitcoin (BTCUSD) | 67.2% | 66.9% | 1.06 | 15.1% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Returns Analyses
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 3/31/2026 | 6.1% | 11.3% | 13.6% |
| 12/18/2025 | -7.7% | -2.0% | -6.4% |
| 9/18/2025 | -4.0% | -5.8% | -4.8% |
| 6/23/2025 | 3.5% | 4.5% | -1.4% |
| 3/20/2025 | 0.4% | 4.2% | -4.2% |
| 12/19/2024 | 3.5% | 3.9% | -1.8% |
| 9/19/2024 | 5.1% | 2.5% | 5.7% |
| 6/21/2024 | 3.8% | 1.6% | 5.1% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 12 | 15 | 14 |
| # Negative | 12 | 9 | 10 |
| Median Positive | 3.6% | 3.6% | 3.5% |
| Median Negative | -4.3% | -5.8% | -5.6% |
| Max Positive | 15.1% | 12.3% | 17.9% |
| Max Negative | -8.3% | -8.7% | -11.0% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 02/28/2026 | 04/02/2026 | 10-Q |
| 11/30/2025 | 01/05/2026 | 10-Q |
| 08/31/2025 | 10/22/2025 | 10-K |
| 05/31/2025 | 07/03/2025 | 10-Q |
| 02/28/2025 | 04/04/2025 | 10-Q |
| 11/30/2024 | 01/08/2025 | 10-Q |
| 08/31/2024 | 10/29/2024 | 10-K |
| 05/31/2024 | 07/03/2024 | 10-Q |
| 02/29/2024 | 04/03/2024 | 10-Q |
| 11/30/2023 | 01/05/2024 | 10-Q |
| 08/31/2023 | 10/27/2023 | 10-K |
| 05/31/2023 | 07/03/2023 | 10-Q |
| 02/28/2023 | 04/03/2023 | 10-Q |
| 11/30/2022 | 01/05/2023 | 10-Q |
| 08/31/2022 | 10/21/2022 | 10-K |
| 05/31/2022 | 07/01/2022 | 10-Q |
Recent Forward Guidance [BETA]
Latest: Q2 2026 Earnings Reported 3/31/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| 2026 Organic ASV Growth | 1.3E10% | 1.45E10% | 1.6E10% | 16.0% | Raised | Guidance: 1.25E10% for 2026 | |
| 2026 Revenue | 2.45 Bil | 2.46 Bil | 2.47 Bil | 1.0% | Raised | Guidance: 2.44 Bil for 2026 | |
| 2026 GAAP Operating Margin | 29.5% | 30.25% | 31.0% | 0 | 0 | Affirmed | Guidance: 30.25% for 2026 |
| 2026 Adjusted Operating Margin | 34.0% | 34.75% | 35.5% | 0 | 0 | Affirmed | Guidance: 34.75% for 2026 |
| 2026 Annual Effective Tax Rate | 18.0% | 18.5% | 19.0% | 0 | Affirmed | Guidance: 18.5% for 2026 | |
| 2026 GAAP Diluted EPS | 14.8 | 15.1 | 15.3 | 1.3% | Raised | Guidance: 14.9 for 2026 | |
| 2026 Adjusted Diluted EPS | 17.2 | 17.5 | 17.8 | 1.4% | Raised | Guidance: 17.2 for 2026 | |
Prior: Q1 2026 Earnings Reported 12/18/2025
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| 2026 Organic ASV Growth | 1.0E10% | 1.25E10% | 1.5E10% | 0 | Affirmed | Guidance: 1.25E10% for 2026 | |
| 2026 Revenue | 2.42 Bil | 2.44 Bil | 2.45 Bil | 0 | Affirmed | Guidance: 2.44 Bil for 2026 | |
| 2026 Operating Margin | 29.5% | 30.25% | 31.0% | 0 | 0 | Affirmed | Guidance: 30.25% for 2026 |
| 2026 Adjusted Operating Margin | 34.0% | 34.75% | 35.5% | 0 | 0 | Affirmed | Guidance: 34.75% for 2026 |
| 2026 Effective Tax Rate | 18.0% | 18.5% | 19.0% | 0 | 0 | Affirmed | Guidance: 18.5% for 2026 |
| 2026 EPS | 14.6 | 14.9 | 15.2 | 0 | Affirmed | Guidance: 14.9 for 2026 | |
| 2026 Adjusted EPS | 16.9 | 17.2 | 17.6 | 0 | Affirmed | Guidance: 17.2 for 2026 | |
Insider Activity
Expand for More| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Siegel, Laurie | Direct | Sell | 1122026 | 296.25 | 2,572 | 761,944 | 307,207 | Form | |
| 2 | Skoko, Goran | EVP, Chief Revenue Officer | Direct | Buy | 11102025 | 252.93 | 500 | 126,465 | 2,324,819 | Form |
| 3 | Shan, Helen L | EVP, Chief Financial Officer | Direct | Buy | 10082025 | 275.48 | 370 | 101,928 | 2,557,556 | Form |
| 4 | Eilam, Barak | Direct | Sell | 10072025 | 283.21 | 1 | 283 | 80,715 | Form | |
| 5 | McLoughlin, Christopher | Chief Legal Officer | Direct | Buy | 9252025 | 296.19 | 338 | 100,001 | 1,020,569 | Form |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
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