Direct Answer

Verisk Analytics (VRSK) is a data analytics company serving the property and casualty insurance industry with ISO statistical databases (used by most US P&C insurers), catastrophe modeling, underwriting data, and claims analytics. Post-divestiture (sold Wood Mackenzie energy analytics and financial services in 2022-2023), Verisk is an insurance-focused business with strong network effects, high switching costs, and 70-80% recurring subscription revenue.

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Verisk Analytics (VRSK) Business & Investor Dossier

Company Snapshot

TickerVRSK (NASDAQ)
Founded1971 (as ISO); rebranded Verisk 2009; IPO 2009
HeadquartersJersey City, New Jersey
SectorIndustrials
IndustryResearch & Consulting Services
BusinessData analytics for P&C insurance: ISO statistical databases, catastrophe modeling, underwriting data, claims analytics; sold Wood Mackenzie energy (2022) and financial services (2023)
NotableISO P&C insurance network effect and regulatory entrenchment; AIR Worldwide catastrophe modeling; 70-80% recurring subscriptions; high switching costs; focused post-divestitures; antitrust scrutiny
Key CompetitorsMoody's Analytics/RMS (MCO), CoreLogic, LexisNexis Risk Solutions (RELX), TransUnion (TRU), Equifax (EFX)

What Does Verisk Analytics Do?

Verisk Analytics provides data analytics and decision-support services to the property and casualty insurance industry, including the ISO statistical database (used by most US P&C insurers for actuarial pricing), catastrophe modeling (AIR Worldwide/Verisk Extreme Events), underwriting data, and claims analytics. After selling Wood Mackenzie energy analytics and its financial services segment in 2022-2023, Verisk is an insurance-focused analytics company with strong network effects, regulatory entrenchment, high switching costs, and recurring subscription revenue.

Frequently Asked Questions

What does Verisk Analytics do and how does it make money?

Verisk is a data analytics and information services company providing proprietary databases, analytics tools, and decision-support primarily to P&C insurance. After divesting energy (Wood Mackenzie) and financial services in 2022-2023, Verisk's revenue is concentrated in Insurance Analytics: ISO/Verisk actuarial data and loss modeling (industry standard P&C insurance statistics most US insurers contribute to and rely on), catastrophe modeling (natural disaster loss estimates for underwriting and capital management), claims analytics (fraud detection, cost estimation, litigation management), and underwriting data (driving records, vehicle information, credit-based insurance scores). Revenue is primarily recurring subscription and transactional fees with high renewal rates.

What makes Verisk Analytics a high-quality business?

Verisk has multiple durable competitive advantages. Network effects and data moat: the ISO insurance statistical database has value proportional to how many insurers contribute -- most US P&C insurers both contribute claims experience and rely on the aggregate database for actuarial pricing, creating a network extremely difficult to replicate. Regulatory entrenchment: Verisk rate filings serve as reference points for state insurance rate approvals, embedded in regulatory workflows over decades. High switching costs: replacing catastrophe models, ISO statistical filings, or underwriting data requires extensive re-testing, re-training, and regulatory re-approval. Subscription-based recurring revenue: 70-80% of revenue is recurring subscriptions with high renewal rates. Pricing power: embedded data and mission-critical workflows allow annual price increases above inflation.

What is Verisk's role in catastrophe modeling and why is it important?

Catastrophe (cat) modeling estimates potential financial losses from major natural disasters (hurricanes, earthquakes, wildfires, floods) using probabilistic simulations. Insurers use cat models to price policies for catastrophe risk, manage aggregate exposure, optimize reinsurance purchasing, and satisfy rating agency and regulatory capital requirements. Verisk's AIR Worldwide (now Verisk Extreme Events) is one of the world's leading catastrophe modeling firms alongside Moody's Analytics/RMS and CoreLogic. As climate change increases extreme weather frequency and severity, catastrophe modeling becomes more commercially valuable -- a structural tailwind for Verisk's position.

Why did Verisk sell Wood Mackenzie and its financial services businesses?

Verisk divested Wood Mackenzie (energy data and analytics) and its Financial Services segment in 2022-2023, focusing entirely on insurance analytics. The strategic rationale: the insurance segment had meaningfully stronger competitive moats (ISO network effect, regulatory entrenchment), higher margins, and more predictable subscription revenue than energy and financial services. The divestitures improved margin profile, simplified the company story, returned capital to shareholders (special dividends and buybacks), and focused management on the most defensible, high-return insurance analytics opportunity. Post-divestiture Verisk is a more focused, higher-margin business.

What are the main risks for Verisk Analytics?

Key risks include revenue concentration in insurance (virtually all revenue from P&C insurance analytics post-divestiture; industry downturns could impact demand), technology disruption (large carriers investing in internal data science may reduce reliance on third-party providers over time), pricing power constraints (insurance companies pushing back on annual price increases), catastrophe model accuracy risk (significantly underestimating a major loss event could damage market share), data security and privacy exposure (holding large volumes of claims, driving records, and personal data), and antitrust scrutiny (Verisk's dominant position in P&C insurance statistics has attracted regulatory attention).

References

Written by Swoopr Editorial Team. Swoopr Investment provides independent educational content about publicly traded companies and investment concepts. This page does not constitute investment advice. See our editorial policy and corrections policy.

Financial figures are sourced from SEC filings and company investor relations materials. Verify all data independently before making investment decisions.