★ WIDE MOAT STOCKS & COMPETITIVE ADVANTAGES ★
VOL. XCIV, NO. 247
Experian plc
EXPN · London 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
Experian plc is a global credit reporting and information services company with regionally managed businesses in North America, Latin America, UK and Ireland, and EMEA and Asia Pacific. Its strongest demonstrated moats are the reinforcing proprietary-data loops within concentrated credit-bureau markets; FY26 disclosure says over 90% of revenue is derived from proprietary data. Generic regulatory obligations are shared by the incumbent bureaus and are not counted separately. Consumer membership, product launches, acquisitions and contract wins do not establish marketplace network effects, bundling or switching costs without lender-side, retention or cross-sell evidence. Serasa remains identified as Brazil's market leader, but the last public percentage located was from 2012 and has therefore been removed rather than presented as current. EMEA and Asia Pacific remains fragmented and low-margin without a separately demonstrated moat.
Primary segment
North America
Market structure
Oligopoly
Market share
—
HHI: —
Coverage
4 segments · 6 tags
Updated 2026-07-11
Segments
North America
Consumer and business credit reporting, identity/fraud data and decision analytics, plus consumer credit/insurance marketplaces
Revenue
66.3%
Structure
Oligopoly
Pricing
strong
Share
—
Peers
Latin America
Credit bureau data, fraud/identity and analytics solutions, plus consumer credit/debt-resolution and financial marketplaces
Revenue
15.4%
Structure
Quasi-Monopoly
Pricing
strong
Share
—
Peers
UK and Ireland
Credit reference data and analytics for underwriting and identity, plus consumer credit/eligibility services and marketplaces
Revenue
11.2%
Structure
Oligopoly
Pricing
moderate
Share
—
Peers
EMEA and Asia Pacific
Credit bureau and identity data plus decisioning and fraud prevention software across EMEA and Asia-Pacific markets
Revenue
7.1%
Structure
Competitive
Pricing
weak
Share
—
Peers
Moat Claims
North America
Consumer and business credit reporting, identity/fraud data and decision analytics, plus consumer credit/insurance marketplaces
Revenue_share and operating_profit_share are calculated from FY26 revenue and Benchmark EBIT by geography in the FY26 results announcement (year ended 2026-03-31).
Data Network Effects
Network
Data Network Effects
Strength
Durability
Confidence
Evidence
In nationwide consumer reporting, lender furnishing and bureau usage reinforce each other; scale improves file coverage and model performance.
Data Network Effects moat: definition, examples, and stocks
Erosion risks
- Regulatory constraints on data use and portability
- Alternative data (cash-flow/open banking) reducing reliance on bureau files
Leading indicators
- Mortgage profiles revenue trend
- Regulatory actions or major rule changes impacting CRAs
Counterarguments
- Lenders often use multiple bureaus and proprietary data
- Point-solution vendors can win specific identity and fraud workflows
Latin America
Credit bureau data, fraud/identity and analytics solutions, plus consumer credit/debt-resolution and financial marketplaces
Revenue_share and operating_profit_share are calculated from FY26 revenue and Benchmark EBIT by geography in the FY26 results announcement (year ended 2026-03-31).
Data Network Effects
Network
Data Network Effects
Strength
Durability
Confidence
Evidence
Serasa's scale in Brazil supports reinforcing data loops and model quality in credit decisions and fraud/identity use cases.
Data Network Effects moat: definition, examples, and stocks
Erosion risks
- Regulatory or privacy changes limiting usable data
- Share gains by other Brazilian bureaus (Boa Vista, SPC, Quod)
Leading indicators
- Brazil B2B organic growth and credit volumes
- Coverage and refresh rates of bureau files
Counterarguments
- Macro cycles can reduce volumes and monetization
- Competitors can gain share if data access rules shift
UK and Ireland
Credit reference data and analytics for underwriting and identity, plus consumer credit/eligibility services and marketplaces
Revenue_share and operating_profit_share are calculated from FY26 revenue and Benchmark EBIT by geography in the FY26 results announcement (year ended 2026-03-31).
Data Network Effects
Network
Data Network Effects
Strength
Durability
Confidence
Evidence
Concentrated UK CRA market supports reinforcing data loops via lender furnishing and underwriting usage.
Data Network Effects moat: definition, examples, and stocks
Erosion risks
- Open banking and alternative data shifting underwriting inputs
- Regulatory scrutiny of data accuracy and disputes
Leading indicators
- UK and Ireland B2B growth and new business wins
- Complaint and dispute volumes
Counterarguments
- Lenders can use multiple CRAs and proprietary data
EMEA and Asia Pacific
Credit bureau and identity data plus decisioning and fraud prevention software across EMEA and Asia-Pacific markets
Revenue_share and operating_profit_share are calculated from FY26 revenue and Benchmark EBIT by geography in the FY26 results announcement (year ended 2026-03-31).
Insufficient segment-specific evidence to assign a moat claim.
Evidence
There are three big nationwide providers of consumer reports: Equifax, TransUnion, and Experian.
Supports oligopoly structure in US nationwide consumer reporting.
Over 90% of our revenue is derived from proprietary data
Company frames proprietary data as the foundation for analytics and AI-enabled solutions.
The three main consumer CRAs in the UK are Equifax, Experian and TransUnion.
Supports concentrated market structure.
Risks & Indicators
Erosion risks
- Regulatory constraints on data use and portability
- Alternative data (cash-flow/open banking) reducing reliance on bureau files
- Regulatory or privacy changes limiting usable data
- Share gains by other Brazilian bureaus (Boa Vista, SPC, Quod)
- Open banking and alternative data shifting underwriting inputs
- Regulatory scrutiny of data accuracy and disputes
Leading indicators
- Mortgage profiles revenue trend
- Regulatory actions or major rule changes impacting CRAs
- Brazil B2B organic growth and credit volumes
- Coverage and refresh rates of bureau files
- UK and Ireland B2B growth and new business wins
- Complaint and dispute volumes
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