Verisk Analytics, Inc.

Verisk Analytics, Inc.

Verisk Analytics (VRSK) is a US-based information services company that supplies data, analytics and decision-support tools to sectors such as insurance, energy, financial services and government. With a market capitalisation of about $33.12 billion, it is notable for its insurance underwriting models, claims analytics and specialised risk-scoring products. Verisk combines proprietary databases, machine learning and domain expertise to help clients price risk, detect fraud and improve operational efficiency. Investors often watch its recurring revenue mix, margin profile and acquisition strategy as indicators of durable cash flows, though competitive pressures and regulatory changes can affect outcomes. The company's scale and long-term contracts can provide revenue visibility, but performance can fluctuate with economic cycles and industry loss trends. This summary is for educational purposes only and not personalised investment advice; values can rise and fall and past performance is not a guarantee of future results.

Why It's Moving

Verisk Analytics, Inc.

Verisk Analytics Bounces Back With $1.5B Buyback, Signaling Management Confidence in Stock Value

Verisk Analytics shares surged 9% today following the company's announcement of accelerated share repurchase agreements totaling $1.5 billion. The aggressive buyback plan comes after the stock fell 2.12% on March 9 due to concerns about declining net income despite steady revenue growth, but management's decisive capital allocation strategy is reassuring investors about long-term value creation.
Sentiment:
🐃Bullish
  • Verisk entered into accelerated share repurchase (ASR) agreements with HSBC and Wells Fargo to repurchase $1.5 billion of common stock, with approximately 7 million shares to be delivered at inception and final settlement expected by Q3 2026
  • The buyback follows a February 2026 announcement of a $2.5 billion share repurchase authorization (10.1% of outstanding shares) and a 12.5% dividend increase to $0.50 per share, demonstrating management's conviction in the stock despite recent margin pressures
  • Q4 2025 results showed 5.5% revenue growth to $779 million offset by a 10.98% drop in net income, but analyst price targets range from $237 to $275, suggesting meaningful upside potential for long-term investors

When is the next earnings date for Verisk Analytics, Inc. (VRSK)?

Verisk Analytics is estimated to announce its next earnings report on May 6, 2026, which will cover first quarter 2026 results. The company has not yet officially confirmed this date, but the estimate is based on the firm's historical earnings release patterns. Analysts are projecting earnings per share of approximately $1.76 to $1.80 for the quarter. This earnings announcement will follow the company's strong Q4 2025 performance, when it beat consensus estimates by 14.47%.

Stock Performance Snapshot

Buy

Analyst Rating

Analysts recommend buying Verisk Analytics stock with a target price of $294, indicating strong growth potential.

Above Average

Financial Health

Verisk Analytics is performing well with strong profits, cash flow, and high revenue margins.

Below Average

Dividend

Verisk Analytics has a low dividend yield of 0.81%, indicating limited returns from dividends. If you invested $1000 you would be paid $8.10 a year in dividends (based on the last 12 months).

Source: Analyst sentiment is provided by Refinitiv Ltd, a global leader in financial market data with over 40k business clients. Refinitiv Ltd is an independent third party to Nemo. This is not advice.

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Why You’ll Want to Watch This Stock

📈

Insurance Analytics Growth

Verisk's core strength lies in insurance data and modelling, which can support steady recurring revenue—though industry loss cycles and competition can affect performance.

🌍

Global Data Reach

A broad geographic footprint and extensive proprietary datasets help Verisk serve diverse clients, yet expansion requires careful local execution and compliance.

Technology & Innovation

Investment in machine learning and software helps product differentiation, but technological change and integration risks mean outcomes are not certain.

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