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Experian plc

EXPN · London Stock Exchange

Market cap (USD)$30.4B
SectorIndustrials
IndustrySpecialty Business Services
CountryJE
Data as of
Moat score
94/ 100

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

EFXTRUFICOINTU

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

EFXTRU

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

EFXTRU

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

EFXTRU

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).

Oligopoly

Data Network Effects

Network

Strength

Strength 5 of 5

Durability

Durability 3 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 2 of 5

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).

Quasi-Monopoly

Data Network Effects

Network

Strength

Strength 5 of 5

Durability

Durability 3 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 1 of 5

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).

Oligopoly

Data Network Effects

Network

Strength

Strength 4 of 5

Durability

Durability 3 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 1 of 5

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).

Competitive

Insufficient segment-specific evidence to assign a moat claim.

Evidence

dataset

There are three big nationwide providers of consumer reports: Equifax, TransUnion, and Experian.

Supports oligopoly structure in US nationwide consumer reporting.

other

Over 90% of our revenue is derived from proprietary data

Company frames proprietary data as the foundation for analytics and AI-enabled solutions.

regulation

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

Keep the research going

Created 2025-12-30
Updated 2026-07-11

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