Verisk Analytics Shares Slip Following Third-Quarter Earnings and Updated Outlook
Verisk Analytics reported third-quarter adjusted earnings of $1.96 per share on revenue of $809 million. The company maintained its full-year earnings guidance, which slightly trailed market estimates.

Verisk Analytics shares fell 3.7% in afternoon trading recently after the company released third-quarter financial results that met analyst revenue projections but featured a full-year profit target slightly below expectations. The stock changed hands at $203.38, leaving it down 8% since the start of the year and 9.6% beneath its 52-week peak of $225.07 recorded in November 2025.
For the third quarter, the insurance data analytics provider generated revenue of $809 million, representing a 5.3% increase year over year and closely matching S&P analyst estimates of $806.5 million. On an organic constant currency basis, revenue increased 7.4%. Adjusted earnings per share came in at $1.96, topping the estimated $1.92. Adjusted EBITDA was reported at $459 million, beating consensus projections of $453.9 million, while quarterly net income stood at US$219.2 million.
Subscription products proved to be a central growth engine for the period, increasing 8.2% and supporting a base where subscriptions account for 84% of revenue. However, net income for both the third quarter and the first nine months fell compared to the previous year. The business also encountered headwinds in contractor-related transaction volume caused by milder weather conditions and reduced storm activity.
Looking ahead, management retained its full-year revenue expectation at approximately $3.22 billion at the midpoint and reaffirmed its full-year adjusted EBITDA projection of about $1.81 billion, both matching analyst predictions. The company kept its full-year adjusted earnings target near $7.60 per share, which fell short of analyst consensus. Capital return initiatives included a US$100 million accelerated share repurchase alongside an increased dividend payment.
To expand its data presence, the firm recently integrated its insurance analytics directly into artificial intelligence platforms such as Amazon Quick, Microsoft Copilot, and Claude by Anthropic. This deployment embeds property-level storm statistics, ISO Loss Costs, and Premium Audit Advisory Service tools directly into existing insurer systems. Market observers note that the commercial success of this deployment relies on whether client adoption generates enough recurring revenue to counter ongoing weakness in transactional lines.