★ WIDE MOAT STOCKS & COMPETITIVE ADVANTAGES ★
VOL. XCIV, NO. 247
Stock Profile
FactSet Research Systems Inc. (FDS) Moat Analysis
FactSet Research Systems Inc.
FDS · New York Stock Exchange
Weighted average of segment moat scores, combining moat strength, durability, confidence, market structure, pricing power, and market share.
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Overview
FactSet Research Systems Inc. is a dual-listed U.S. financial data, analytics and workflow platform company. Q3 fiscal 2026 revenue remained roughly 65% Americas, 24% EMEA and 10% Asia Pacific, with organic ASV of $2.486bn and annual ASV retention above 95%. FactSet's moat is built on embedded investment workflows, subscription procurement inertia, more than 247,000 individual users, and the exclusive CUSIP/CINS standards-registry asset inside Market Infrastructure. APIs, cloud delivery and offshore centers improve the offering and cost structure but are replicable capabilities rather than standalone moats. Key pressures are Bloomberg, LSEG and S&P Global, AI disruption, data-rights costs and client budget compression.
Primary segment
Americas
Market structure
Oligopoly
Market share
5.5%-6.5% (implied)
HHI: —
Coverage
3 segments · 6 tags
Updated 2026-07-12
Segments
Americas
Americas financial market data, analytics, workstations and enterprise data solutions
Revenue
65.3%
Structure
Oligopoly
Pricing
moderate
Share
5.5%-6.5% (implied)
Peers
EMEA
EMEA financial market data, analytics, workstations and enterprise data solutions
Revenue
24.5%
Structure
Oligopoly
Pricing
moderate
Share
3.5%-4.2% (implied)
Peers
Asia Pacific
Asia Pacific financial market data, analytics, workstations and enterprise data solutions
Revenue
10.2%
Structure
Oligopoly
Pricing
moderate
Share
2.3%-3.1% (implied)
Peers
Moat Claims
Americas
Americas financial market data, analytics, workstations and enterprise data solutions
Revenue share is consistent with Q3 FY2026 segment revenue of $407.2m over consolidated $622.9m; operating profit share uses the latest available Q2 FY2026 Form 10-Q segment operating income of $152.734m over consolidated $377.032m. Private Bloomberg is omitted from peers.
Data Workflow Lockin
Demand
Data Workflow Lockin
Strength
Durability
Confidence
Evidence
FactSet is embedded in investment research, portfolio, risk, trading, reporting and data-management workflows, often handling clients' proprietary portfolio data.
Data Workflow Lockin moat: definition, examples, and stocks
Erosion risks
- AI-native interfaces can abstract users away from traditional terminals and workstations.
- Large customers can consolidate data spend with Bloomberg, LSEG, S&P Global or internal platforms.
- Loss of key third-party data rights could weaken product completeness.
Leading indicators
- Annual ASV retention
- User count and client count
- Workstation, data solutions and portfolio management ASV growth
Counterarguments
- Bloomberg and LSEG have deeper real-time trading and news franchises.
- Workflow lock-in is meaningful but not absolute because financial firms often multi-source data.
Procurement Inertia
Demand
Procurement Inertia
Strength
Durability
Confidence
Evidence
FactSet's subscription model, client-specific entitlements, data integrations and high retention make displacement slow even in competitive procurement cycles.
Procurement Inertia moat: definition, examples, and stocks
Erosion risks
- Market downturns and asset-manager fee pressure can trigger seat reductions.
- Vendor-consolidation programs can force rebids against larger bundled competitors.
- Generative AI may lower willingness to pay for traditional financial-data interfaces.
Leading indicators
- ASV retention above 95%
- Client retention percentage
- Net new ASV from existing clients
Counterarguments
- Annual contracts still allow cancellations and reductions at renewal.
- Procurement inertia weakens when a client standardizes on a single enterprise data vendor.
Standards Registry
Network
Standards Registry
Strength
Durability
Confidence
Evidence
CUSIP Global Services gives FactSet a standards-based identifier asset embedded in security-master and back-office workflows, although it is only one part of total revenue.
Standards Registry moat: definition, examples, and stocks
Erosion risks
- Litigation or regulatory scrutiny could affect CUSIP pricing or access rules.
- Open identifiers and regulatory reporting standards can reduce dependence on CUSIP economics.
- CGS is a narrower moat than the full FactSet platform.
Leading indicators
- CGS and Market Infrastructure ASV growth
- Identifier licensing disputes and litigation outcomes
- Financial Data Transparency Act implementation details
Counterarguments
- CUSIP strength does not automatically protect workstation or analytics share.
- Regulators may favor open or lower-cost identifier standards over proprietary identifiers.
EMEA
EMEA financial market data, analytics, workstations and enterprise data solutions
Revenue share is consistent with Q3 FY2026 segment revenue of $152.0m over consolidated $622.9m; operating profit share uses the latest available Q2 FY2026 Form 10-Q segment operating income of $134.396m over consolidated $377.032m. Private Bloomberg is omitted from peers.
Data Workflow Lockin
Demand
Data Workflow Lockin
Strength
Durability
Confidence
Evidence
FactSet's EMEA offering embeds data, portfolio analytics, workstations, feeds, APIs and managed services into regulated investment workflows.
Data Workflow Lockin moat: definition, examples, and stocks
Erosion risks
- LSEG has strong local data, desktop and enterprise relationships in Europe.
- DORA and similar rules can raise vendor compliance costs and scrutiny.
- Financial firms may reduce active-management tools if passive investing continues to gain share.
Leading indicators
- EMEA Organic ASV growth
- Data solutions and workstation growth in EMEA
- Client-retention trends in European banks and asset managers
Counterarguments
- EMEA clients often already use LSEG, Bloomberg and S&P Global, limiting FactSet's share of wallet.
- Managed-services integration is sticky but can be rebid to lower-cost providers.
Procurement Inertia
Demand
Procurement Inertia
Strength
Durability
Confidence
Evidence
Subscriptions, entitlements, internal training and regulatory vendor approval make switching slow, even though EMEA procurement is cost-conscious.
Procurement Inertia moat: definition, examples, and stocks
Erosion risks
- Client budget cuts can lead to seat reductions at renewal.
- Regulatory-driven vendor reviews can expose overlapping tools and duplicated spend.
- Competitors can bundle data with indices, ratings, trading or desktop products.
Leading indicators
- EMEA ASV retention and net new ASV
- Seat counts among banks and asset managers
- Average contract size and renewal pricing
Counterarguments
- Client retention below ASV retention indicates smaller accounts can churn.
- Bank and asset-manager procurement teams actively benchmark financial-data vendors.
Asia Pacific
Asia Pacific financial market data, analytics, workstations and enterprise data solutions
Revenue share is consistent with Q3 FY2026 segment revenue of $63.7m over consolidated $622.9m; operating profit share uses the latest available Q2 FY2026 Form 10-Q segment operating income of $89.902m over consolidated $377.032m. Private Bloomberg is omitted from peers.
Data Workflow Lockin
Demand
Data Workflow Lockin
Strength
Durability
Confidence
Evidence
FactSet's APAC customers use the same multi-asset workstation, data solutions and middle-office tools, but regional scale is smaller than in the Americas.
Data Workflow Lockin moat: definition, examples, and stocks
Erosion risks
- Local data vendors and exchange-linked providers can have stronger domestic coverage.
- Large global banks may standardize APAC users on enterprise-wide Bloomberg or LSEG contracts.
- Data localization and cross-border transfer rules can raise compliance costs.
Leading indicators
- Asia Pacific Organic ASV growth
- APAC user count and client growth
- Middle-office and data solutions adoption
Counterarguments
- APAC market share is lower than in the Americas, reducing network and local-scale effects.
- Global platform breadth may be less differentiated in markets requiring highly local data coverage.
Procurement Inertia
Demand
Procurement Inertia
Strength
Durability
Confidence
Evidence
APAC customers benefit from global contracts, user training and integrated data workflows, but smaller regional revenue and local alternatives make the moat less strong than in the Americas.
Procurement Inertia moat: definition, examples, and stocks
Erosion risks
- APAC clients may favor local-language and local-market data vendors.
- Global customers can reduce regional seats in downturns.
- Data-sovereignty requirements can complicate centralized delivery.
Leading indicators
- APAC Organic ASV growth
- Regional client retention
- Growth in workstations, data solutions and middle-office solutions
Counterarguments
- Higher APAC growth is partly from a smaller base.
- Procurement inertia may sit at global parent accounts rather than local APAC operations.
Evidence
applications, client support and service offerings are entrenched in the workflow
Directly supports workflow lock-in across financial-professional use cases.
central to our clients investment analysis, decision-making and operations
Shows FactSet positions its products as core operating infrastructure.
power critical workflows and informed decision-making
Current official release supports continued demand for embedded workflow solutions.
annual ASV retention remained above 95%
High ASV retention supports procurement and renewal inertia.
With proper notice provided as contractually required
Client changes require contractual notice, reinforcing subscription inertia.
Showing 5 of 22 sources.
Risks & Indicators
Erosion risks
- AI-native interfaces can abstract users away from traditional terminals and workstations.
- Large customers can consolidate data spend with Bloomberg, LSEG, S&P Global or internal platforms.
- Loss of key third-party data rights could weaken product completeness.
- Market downturns and asset-manager fee pressure can trigger seat reductions.
- Vendor-consolidation programs can force rebids against larger bundled competitors.
- Generative AI may lower willingness to pay for traditional financial-data interfaces.
Leading indicators
- Annual ASV retention
- User count and client count
- Workstation, data solutions and portfolio management ASV growth
- Client use of APIs, cloud delivery and managed services
- ASV retention above 95%
- Client retention percentage
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