VRSKNasdaqServices-Computer Processing & Data PreparationUS GAAP · USD

Verisk Analytics, Inc.

Verisk Analytics is a U.S.-based data, analytics, and technology company focused on the insurance ecosystem. It provides proprietary data assets, statistical models, software platforms, and decision-support tools used in underwriting, claims, catastrophe modeling, weather risk, and specialty insurance workflows.

Revenue3,073m USD
+6.6 %y/y
Operating profit (EBIT)1,344m USD
+7.2 %y/y
EBIT margin43.7%
+0.2 ppy/y
Net income908m USD
−5.2 %y/y
Free cash flow1,192m USD
+29.5 %y/y

Fiscal year 2025 · change from previous year

Development 2020–2025

01,0002,0003,0004,000m USD2020: 2,785 m USD2020: EBIT 1,038 m USD20202021: 2,463 m USD2021: EBIT 1,001 m USD20212022: 2,497 m USD2022: EBIT 1,407 m USD20222023: 2,681 m USD2023: EBIT 1,132 m USD20232024: 2,882 m USD2024: EBIT 1,254 m USD20242025: 3,073 m USD2025: EBIT 1,344 m USD20253,0731,344
RevenueOperating profit (EBIT)

Business

Share of revenue
Underwriting Solutions56 %

Data, models, and software used for rating, pricing, and underwriting insurance risk.

Claims Solutions24 %

Tools for claims handling, fraud detection, repair estimating, and injury analytics.

Specialty Business Solutions12 %

Software for specialty insurance and reinsurance workflows, including placement and claims.

Life and Annuity Solutions5 %

Producer licensing, onboarding, appointment, and compliance tools for life insurance.

Other Risk Analytics3 %

Catastrophe, weather, exposure, and niche analytics products sold across insurance markets.

Customers

Verisk sells primarily to insurers, reinsurers, brokers, managing general agents, and other participants in the insurance value chain. Its largest customers are organized into tiers, with the biggest U.S. and global insurance groups receiving executive-level account management, while smaller specialty firms are served through business-unit sales teams.

Tier One insurance clients

The largest insurers and global accounts that buy multiple integrated solutions across underwriting, claims, and specialty workflows.

Tier Two large and middle-market clients

Mid-sized insurers and specialty firms that purchase selected analytics, software, or claims products.

Tier Three specialty clients

Smaller or niche companies that buy a single product line or regional solution.

P&C insurers

Buy rating, underwriting, claims, catastrophe, and fraud analytics to improve risk selection and claims handling.

Life and annuity carriers

Buy producer licensing, onboarding, appointment, and compliance tools to automate distribution workflows.

Brokers, reinsurers, and MGAs

Buy specialty software for placement, policy administration, and reinsurance processing.

Strategy

Verisk’s strategy centers on embedding its data and analytics into customer workflows so that clients use multiple products across underwriting, claims, and specialty operations. It also expands through acquisitions and product integration, adding niche datasets and workflow software that deepen customer relationships and broaden its insurance platform.

Deepen workflow integrationMedium term

Embedded tools are harder to replace and support multi-product adoption.

Expand specialty and life insurance offeringsMedium term

These areas broaden the addressable market beyond core P&C analytics.

Add differentiated data and modelsLong term

Proprietary datasets and models are the core source of product value.

Grow internationally in specialty marketsMedium term

Global specialty insurance markets provide additional workflow and software demand.

Geography

Q1/2026

Verisk operates primarily in the United States, where it serves much of the property and casualty insurance market. It also sells specialty insurance software and analytics internationally, with a notable presence in London and broader global specialty markets. Its products are used across North America, Europe, and other insurance centers, so geography matters mainly through customer location, regulatory regimes, and local insurance workflows.

United States82 %
Other countries (US filing)10 %
United Kingdom8.3 %

Share of the revenue the company reports by geography.

Risks

Verisk depends on the quality, security, and relevance of its data and models, so errors, model limitations, or cyber incidents could damage customer trust and product adoption. It also faces strong competition from insurers’ internal systems, software vendors, consulting firms, and InsurTech providers, while AI-related features add privacy, bias, and intellectual property risks.

Sorted by severity
LowMediumHighLowMediumHighImpact →Likelihood →Model risk and analytical error1Cybersecurity and data privacy breaches2AI-related compliance and reputational risk3Competitive pressure4
Impact is the risk’s severity and likelihood how probable it is over the next few years, both assessed from the company’s reports. Numbers match the list.
  1. Model risk and analytical errorImpact: HighLikelihood: Medium

    Customers rely on Verisk outputs for underwriting, claims, and catastrophe decisions, so inaccurate models can reduce trust and create losses.

    ExposureUnderwritingClaimsCatastrophe modeling
  2. Cybersecurity and data privacy breachesImpact: HighLikelihood: Medium

    The business stores and processes sensitive insurance and proprietary data across internal and third-party systems.

    ExposureCloud providersCustomer data repositories
  3. AI-related compliance and reputational riskImpact: MediumLikelihood: Medium

    New AI features can introduce bias, privacy, security, and intellectual property concerns.

    Exposure: Internal systems and customer-facing products

  4. Competitive pressureImpact: MediumLikelihood: Medium

    Customers can use internal resources or alternative vendors, which can pressure pricing and retention.

    ExposureP&C analyticsSpecialty softwareLife solutions
  5. Customer concentration and renewal riskImpact: Medium

    Large Tier One clients buy multiple products, so loss of a major account could affect revenue.

    Exposure: Large insurance groups

Accounting

Judgemental items
Goodwill and intangible assets

Acquisitions create significant intangible balances that require amortization and impairment testing.

Impact: Can materially affect operating income and net income

Acquisition purchase price allocation

Recent acquisitions require valuation of acquired assets and liabilities, affecting future amortization.

Impact: Impacts earnings pattern after acquisitions

Revenue recognition

Solutions may be sold as integrated packages or components, so timing and allocation judgments matter.

Impact: Affects quarterly revenue comparability

Allowance for doubtful accounts

Customer receivables in software and data services require credit-loss estimates.

Impact: Affects net revenue and working capital

Pension and postretirement assumptions

Discount rates and expected returns influence benefit expense and liabilities.

Impact: Affects operating expense and balance sheet

Publicly listed companies with a comparable business focus.

Last updated: 24/09/2026