Verisk Analytics, Inc. (VRSK)

Insurance is sold on the premise that the insurer understands the risk better than the customer. Verisk sells the data and tools that let insurers win that bet.

Verisk Analytics, ticker VRSK on NASDAQ, builds and operates platforms that collect, organize, and analyze vast quantities of data to help insurance companies, energy companies, and other risk-intensive businesses make better decisions about risk. At its core, Verisk is not really an insurance company — it is a technology and data company that sold its insurance underwriting business years ago and now focuses entirely on being an essential service provider to the insurance industry. The company collects data from public records, claims histories, sensors, weather services, and proprietary information networks, then packages that data into products that help underwriters price risk, detect fraud, and make underwriting decisions. Insurers — unable to function without understanding the claims risk in their portfolios — have become deeply dependent on Verisk’s platforms.

The insurance underwriting problem.

To understand Verisk, start with the problem it solves. When an insurance company writes a homeowners or auto policy, it must decide what premium to charge. That premium must be high enough to cover the expected claims, the operating costs, and a profit margin, but not so high that it prices the company out of the market. The insurer’s edge comes from understanding, better than the customer, what the actual claim risk is. A homeowner in a flood-prone zip code has a different risk profile than one in a dry area; a driver with five tickets has a different risk than a clean driving record; a house with aluminum wiring has a different fire risk than one with modern copper. Verisk’s business is to help insurers see those differences clearly and quantify them.

The company does this by operating databases of claims history, property characteristics, weather patterns, demographic data, and loss trends. For a homeowners policy, Verisk can tell an insurer about the historical loss patterns in a specific neighborhood, the flood and wildfire risk, the typical claim severity, and how climate change might affect that risk in future years. For an auto policy, the company aggregates driving records and claims data and produces models that predict the likelihood of a claim for any given driver profile. This data and these models are difficult to build, costly to maintain, and nearly impossible for a single insurer to develop alone — but if you are an insurer writing tens of thousands of policies, Verisk’s data can mean the difference between understanding your risk and guessing.

The software-as-a-service moat.

Verisk has become integral to the insurance industry in a way that creates a durable competitive moat. Insurers integrate Verisk’s rating models, data, and tools into their underwriting systems and adjust their decisions based on Verisk’s recommendations or tools. Switching costs are high: moving to a competitor would mean retraining underwriters, rewriting systems, and re-validating that the new tool produces acceptable results. A competitor entering the market would need to build comparable datasets and models, a task that takes years and significant capital. Verisk has the benefit of owning the largest historical claims database in the insurance industry — decades of loss data that competitors cannot easily replicate.

The business model reinforces the moat. Verisk charges recurring subscription fees, often tied to the number of policies underwritten or the amount of premiums written. As the customer’s business grows, Verisk’s revenue grows with it. The fees are often embedded in the customer’s pricing — an insurer who uses Verisk factors the cost into its premiums — so the customer is unlikely to shop aggressively on price if the tool is generating underwriting profit. This creates high gross margins and high switching costs, characteristics of a strong software-as-a-service business.

Growth beyond insurance.

Verisk has expanded beyond pure insurance. The company serves the energy sector with risk and compliance analytics, helping utilities and oil-and-gas companies manage operational risk. It serves real-estate investors with property and climate-risk data. It has built specialized analytics for financial-services firms assessing credit and operational risk. These adjacencies diversify the business beyond insurance yet leverage the same competencies: data collection, modeling, and risk analytics. Each new market represents a chance to apply Verisk’s core capabilities to a different customer base with similar needs.

The company has grown in part organically and in part through acquisition. Verisk has bought competitor rating agencies and analytics platforms and folded them into the core business, expanding both the data it owns and the services it offers. The largest acquisition was the purchase of Wood Mackenzie, a major energy analytics firm, which brought Verisk into the energy sector at scale.

The structure of profits.

Verisk’s revenue comes from four main buckets: insurance (by far the largest), energy, specialized markets, and financial services. Within each, the company derives revenue from subscriptions to software platforms and access to proprietary data and models. These are high-margin businesses; once the data and models are built, additional customers cost little to serve. Verisk’s operating margin is substantially higher than an insurance underwriter’s, which is one reason the market has valued the company as a software/analytics business rather than as an insurance company.

That said, Verisk is not purely software. It must continuously maintain and upgrade its data, re-calibrate its models as the world changes, and integrate new sources of data and signals. If Verisk stops investing in these capabilities, its models will degrade and customers will eventually leave. The company also faces the risk of disruption: if a customer or set of customers develops its own rating models and datasets, Verisk’s business could shrink. So far, that risk has been minimal — the cost to build proprietary data infrastructure is high enough that most insurers prefer to buy from Verisk — but it is a permanent possibility.

Regulatory dependency and market disruption.

Insurance is heavily regulated, and changes to insurance regulation can affect Verisk’s business. If a regulator mandates that insurers use a specific pricing methodology or prohibits certain types of underwriting discrimination, that can reduce the demand for Verisk’s premium-rating models or require the company to rebuild them to comply. Rate regulation, state mandates on coverage, and social pressure to use “fair” underwriting all influence Verisk’s addressable market.

Climate change and increasing storm frequency also affect the business. As the frequency and severity of natural disasters increase, the historical loss data that Verisk relies on becomes a less accurate predictor of future losses. The company has invested in climate-specific models and forward-looking risk assessment, but managing that transition while maintaining customer confidence in the models is an ongoing challenge.

Analyzing Verisk as an investment.

Start with the 10-K (SEC CIK 0001442145) and look at the breakdown of revenue by segment: insurance, energy, specialized markets, financial services. Watch the growth rate in each; insurance will likely grow modestly (the insurance market itself is not growing fast), but if the newer segments are growing faster, the company is diversifying. Examine the nature of the revenue: is it growing because insurers are writing more policies (and thus using more of Verisk’s subscriptions), or because Verisk is raising prices or moving customers to higher-tier products? Watch for customer concentration; if a few large insurers represent a disproportionate share of revenue, Verisk is vulnerable to that customer switching or consolidating.

Monitor regulatory developments: any attempt to regulate insurance pricing or to mandate underwriting standards could affect Verisk. Track investment spending: how much is Verisk investing in new data sources, in climate-risk modeling, and in geographic expansion? Finally, watch for signs of disruption: are any of Verisk’s largest customers building in-house alternatives, or are new competitors gaining traction? For now, Verisk’s position remains strong, but the position is not permanent, and understanding how it could be disrupted matters as much as understanding how it currently earns profits.