Factset Research Systems Inc (FDS) Stock Analysis and Metrics

Factset Research Systems

NYSE: FDS

$265.79 ▲ +11.43 (+4.49%)

At close: Jul 27, 2026 · 3:59 PM UTC

Financial Ratios

Market Cap9.59 Bn

P/E16.94

P/S3.93

Div. Yield0.02

Total Debt (Qtr)1.39 Bn

Revenue Growth (1y) (Qtr)6.39

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About

FactSet Research Systems Inc. is a global financial digital platform and enterprise solutions provider delivering financial intelligence to investment professionals worldwide. The company offers expansive data sophisticated analytics and flexible artificial intelligence powered technologies used by global financial professionals to power their critical investment workflows. FactSet provides financial data and market intelligence on securities companies industries and people to enable clients to research investment ideas and analyze monitor and manage their portfolios across the investment lifecycle of research portfolio construction and analysis trade execution performance measurement risk management and reporting.

FactSet generates revenue primarily from subscriptions to its multi-asset class data and solutions powered by its connected data and technology platform. The company's products and services include workstations portfolio analytics enterprise data solutions and managed services that operate as an extension of clients' internal teams to support data performance risk and reporting workflows. Revenue is derived from client access to multi-asset class solutions over the contractual term through platform delivery of data analytics and technology. FactSet's annual subscription value reflects its ability to grow recurring revenues and generate positive cash flows serving as a key indicator of successful business strategy execution.

The company operates through the following segments: Americas EMEA and Asia Pacific.

• The Americas segment primarily sells to clients in North Central and South America with offices in nine U. S. states data centers in two U. S. states and offices in Brazil and Canada representing 65% of total revenues during fiscal 2025.

• The EMEA segment primarily sells to clients in Europe the Middle East and Africa via offices in Bulgaria England France Germany Italy Latvia Luxembourg the Netherlands Sweden and the United Arab Emirates representing 25% of total revenues during fiscal 2025.

• The Asia Pacific segment primarily sells to clients in Asia and Australasia via office locations in Australia China Hong Kong Special Administrative Region of China India Japan the Philippines and Singapore representing 10% of total revenues during fiscal 2025.

FactSet operates in a highly competitive financial information services industry with large well-capitalized companies and smaller niche firms including market data suppliers news and information providers technology firms and third-party content providers. The company's largest competitors are Bloomberg L. P. S&P's Market Intelligence division and London Stock Exchange Group's Data & Analytics division formerly known as Refinitiv. Other competitors include online database suppliers and integrators such as BlackRock Aladdin MSCI Inc. and Morningstar Inc. FactSet differentiates itself through its open and flexible technology offerings including configurable desktop and mobile platforms comprehensive data feeds cloud-based digital solutions and application programming interfaces with AI embedded across offerings to enhance data discovery automate routine workflows and improve the speed and accuracy of client insights.

FactSet serves institutional asset managers bankers wealth managers asset owners partners hedge funds corporate users and private equity and venture capital professionals. As of August 31 2025 the company had approximately 9000 clients comprised of over 237000 investment professionals worldwide. Buy-side clients accounted for approximately 82% of FactSet's organic annual subscription value while sell-side clients accounted for approximately 18% as of the same date.

Investment Thesis

▲ Bull case

FactSet's strategic investment in Finster AI represents a significant but underappreciated catalyst that could transform its long-term growth trajectory by embedding agentic AI capabilities directly into its core banking workflow solutions, moving beyond traditional data and analytics offerings into higher-value automation services. This partnership addresses a critical unmet need in investment banking where teams currently waste substantial time on manual, repetitive tasks across the deal lifecycle—from origination to execution—creating an opportunity for FactSet to monetize its deep domain expertise and data assets through premium-priced AI-native workflow tools. The integration of Finster's agentic infrastructure allows FactSet to offer a unified, secure environment that synthesizes insights across structured and unstructured data while automating the creation of critical transaction artifacts, which directly targets pain points that legacy vendors have failed to solve comprehensively. Since the solution is currently in private preview with broader rollout expected through 2026, the market appears to be underestimating the near-term revenue potential from early adopter conversions and the long-term upside of expanding this platform beyond banking into adjacent segments like asset management and corporate finance, where similar workflow inefficiencies persist. Given FactSet's extensive client base of over 9,000 global institutions and 239,000 individual users, even modest penetration of this AI-driven workflow automation suite could generate meaningful incremental revenue with high margins, especially as financial institutions accelerate AI adoption to remain competitive in an increasingly technology-driven landscape.
The investment in Finster AI signals FactSet's commitment to staying ahead of structural shifts in the financial technology landscape, particularly the rise of agentic AI that operates natively within workflows rather than as a standalone tool, which could defend against disruptive threats from both established tech giants and agile AI-native startups. By partnering with a platform built by veterans from DeepMind, Meta, JPMorgan, and Morgan Stanley, FactSet gains access to cutting-edge agent orchestration technology designed for interoperability with Microsoft Office and flexible deployment in virtual private cloud or single-tenant environments—critical for meeting the stringent security and compliance requirements of regulated financial institutions. This architectural advantage positions FactSet to offer a solution that is not only powerful but also trustworthy and adaptable, addressing the unspoken concern among banking clients about data governance and control when adopting AI, a factor often overlooked in superficial AI implementations. Management's emphasis on creating a "unified, secure environment for AI-native work" suggests they recognize that fragmented tools and siloed data stores are a key barrier to AI adoption in banking, and their solution directly attacks this structural inefficiency rather than offering incremental improvements. The fact that Finster's platform supports capability from all leading AI models and proprietary data within a single governed environment indicates FactSet is building a future-proof infrastructure that avoids vendor lock-in and can evolve with rapid advancements in AI, a strategic foresight that the market may not be fully pricing into the stock given the company's traditional perception as a steady but slow-growing data provider.

FactSet's strategic investment in Finster AI represents a significant but underappreciated catalyst that could transform its long-term growth trajectory by embedding agentic AI capabilities directly into its core banking workflow solutions, moving beyond traditional data and analytics offerings into higher-value automation services. This partnership addresses a critical unmet need in investment banking where teams currently waste substantial time on manual, repetitive tasks across the deal lifecycle—from origination to execution—creating an opportunity for FactSet to monetize its deep domain expertise and data assets through premium-priced AI-native workflow tools. The integration of Finster's agentic infrastructure allows FactSet to offer a unified, secure environment that synthesizes insights across structured and unstructured data while automating the creation of critical transaction artifacts, which directly targets pain points that legacy vendors have failed to solve comprehensively. Since the solution is currently in private preview with broader rollout expected through 2026, the market appears to be underestimating the near-term revenue potential from early adopter conversions and the long-term upside of expanding this platform beyond banking into adjacent segments like asset management and corporate finance, where similar workflow inefficiencies persist. Given FactSet's extensive client base of over 9,000 global institutions and 239,000 individual users, even modest penetration of this AI-driven workflow automation suite could generate meaningful incremental revenue with high margins, especially as financial institutions accelerate AI adoption to remain competitive in an increasingly technology-driven landscape.
The investment in Finster AI signals FactSet's commitment to staying ahead of structural shifts in the financial technology landscape, particularly the rise of agentic AI that operates natively within workflows rather than as a standalone tool, which could defend against disruptive threats from both established tech giants and agile AI-native startups. By partnering with a platform built by veterans from DeepMind, Meta, JPMorgan, and Morgan Stanley, FactSet gains access to cutting-edge agent orchestration technology designed for interoperability with Microsoft Office and flexible deployment in virtual private cloud or single-tenant environments—critical for meeting the stringent security and compliance requirements of regulated financial institutions. This architectural advantage positions FactSet to offer a solution that is not only powerful but also trustworthy and adaptable, addressing the unspoken concern among banking clients about data governance and control when adopting AI, a factor often overlooked in superficial AI implementations. Management's emphasis on creating a "unified, secure environment for AI-native work" suggests they recognize that fragmented tools and siloed data stores are a key barrier to AI adoption in banking, and their solution directly attacks this structural inefficiency rather than offering incremental improvements. The fact that Finster's platform supports capability from all leading AI models and proprietary data within a single governed environment indicates FactSet is building a future-proof infrastructure that avoids vendor lock-in and can evolve with rapid advancements in AI, a strategic foresight that the market may not be fully pricing into the stock given the company's traditional perception as a steady but slow-growing data provider.

▼ Bear case

Despite the optimistic narrative around the Finster AI partnership, FactSet faces substantial execution risks in monetizing its AI-driven workflow automation platform for banking, particularly given that the solution remains in private preview with no clear timeline for broad commercial availability or pricing strategy, which increases the likelihood of delayed revenue recognition and potential overextension of resources without proportional returns. The company's historical reliance on recurring subscription revenue from data and analytics products may not translate seamlessly to the AI workflow automation space, where success depends heavily on deep integration into client-specific processes, change management, and demonstrable ROI—factors that could lead to longer sales cycles and lower-than-expected adoption rates, especially among conservative banking clients wary of disrupting established workflows. Furthermore, while FactSet emphasizes the platform's availability through 2026, the lack of concrete milestones or client testimonials in the announcement raises concerns about whether the product is sufficiently mature to meet the stringent reliability, security, and performance demands of investment banks handling high-value, regulated transactions. This uncertainty is compounded by the fact that FactSet did not disclose the size of its investment in Finster AI or provide any financial guidance on how this initiative will impact near-term profitability, suggesting management may be prioritizing strategic positioning over immediate financial accountability, a move that could concern investors focused on near-term earnings stability.
The agentic AI and workflow automation market in financial services is becoming increasingly crowded, with major technology firms, specialized fintechs, and internal bank innovation labs all pursuing similar solutions, which could erode FactSet's competitive advantage despite its partnership with Finster AI and limit its ability to command premium pricing or achieve meaningful market share. While Finster's technology offers interoperability and flexible deployment, FactSet must contend with the reality that many large investment banks already have substantial investments in proprietary AI platforms or are partnering with cloud giants like Microsoft, Google, and Amazon, who offer tightly integrated AI tools within their existing enterprise ecosystems—potentially making FactSet's solution appear as an additional layer rather than a core necessity. Additionally, the company's emphasis on serving banking workflows may overextend its focus beyond its traditional strengths in data and analytics, diverting attention and capital from core businesses where it has proven competitive advantages, particularly if the AI banking initiative fails to gain traction as quickly as anticipated. Given that FactSet serves over 9,000 clients across multiple sectors including asset management, wealth management, and corporate finance, an overemphasis on banking-specific AI solutions could result in missed opportunities in adjacent markets where workflow automation needs are equally pressing but less saturated, creating a strategic misalignment that the market might be ignoring amid the excitement around AI innovation.

Despite the optimistic narrative around the Finster AI partnership, FactSet faces substantial execution risks in monetizing its AI-driven workflow automation platform for banking, particularly given that the solution remains in private preview with no clear timeline for broad commercial availability or pricing strategy, which increases the likelihood of delayed revenue recognition and potential overextension of resources without proportional returns. The company's historical reliance on recurring subscription revenue from data and analytics products may not translate seamlessly to the AI workflow automation space, where success depends heavily on deep integration into client-specific processes, change management, and demonstrable ROI—factors that could lead to longer sales cycles and lower-than-expected adoption rates, especially among conservative banking clients wary of disrupting established workflows. Furthermore, while FactSet emphasizes the platform's availability through 2026, the lack of concrete milestones or client testimonials in the announcement raises concerns about whether the product is sufficiently mature to meet the stringent reliability, security, and performance demands of investment banks handling high-value, regulated transactions. This uncertainty is compounded by the fact that FactSet did not disclose the size of its investment in Finster AI or provide any financial guidance on how this initiative will impact near-term profitability, suggesting management may be prioritizing strategic positioning over immediate financial accountability, a move that could concern investors focused on near-term earnings stability.
The agentic AI and workflow automation market in financial services is becoming increasingly crowded, with major technology firms, specialized fintechs, and internal bank innovation labs all pursuing similar solutions, which could erode FactSet's competitive advantage despite its partnership with Finster AI and limit its ability to command premium pricing or achieve meaningful market share. While Finster's technology offers interoperability and flexible deployment, FactSet must contend with the reality that many large investment banks already have substantial investments in proprietary AI platforms or are partnering with cloud giants like Microsoft, Google, and Amazon, who offer tightly integrated AI tools within their existing enterprise ecosystems—potentially making FactSet's solution appear as an additional layer rather than a core necessity. Additionally, the company's emphasis on serving banking workflows may overextend its focus beyond its traditional strengths in data and analytics, diverting attention and capital from core businesses where it has proven competitive advantages, particularly if the AI banking initiative fails to gain traction as quickly as anticipated. Given that FactSet serves over 9,000 clients across multiple sectors including asset management, wealth management, and corporate finance, an overemphasis on banking-specific AI solutions could result in missed opportunities in adjacent markets where workflow automation needs are equally pressing but less saturated, creating a strategic misalignment that the market might be ignoring amid the excitement around AI innovation.

Segments Breakdown of Revenue (2025)

Peer Comparison

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1	BTOG	BIT ORIGIN Ltd	1,110.84 Bn	-	-	-
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5	ICE	Intercontinental Exchange, Inc.	84.12 Bn	21.08	9.26	20.37 Bn
6	NDAQ	Nasdaq, Inc.	53.10 Bn	26.99	6.07	8.76 Bn
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8	MSCI	MSCI Inc.	41.65 Bn	30.67	12.49	6.38 Bn

Research Tools

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Investment Thesis

Geographical Breakdown of Revenue (2025)

Segments Breakdown of Revenue (2025)

Peer Comparison

Research Tools

Developers

About

Investment Thesis

Geographical Breakdown of Revenue (2025)

Segments Breakdown of Revenue (2025)

Peer Comparison

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