Verisk Scheduled to Announce Q4 Earnings
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Feb 17 2026
0mins
Should l Buy VRSK?
Source: seekingalpha
- Earnings Announcement Date: Verisk (VRSK) is set to release its Q4 2023 earnings on February 18 before market open, with consensus EPS estimate at $1.60, reflecting a 0.6% year-over-year decline, while revenue is projected at $773.74 million, indicating a 5.1% year-over-year growth, showcasing the company's revenue stability.
- Historical Performance Review: Over the past two years, Verisk has beaten EPS estimates 88% of the time and revenue estimates 75% of the time, indicating reliability in financial forecasting, which may bolster investor confidence.
- Expectation Adjustment Dynamics: In the last three months, EPS estimates have seen four upward revisions and three downward revisions, while revenue estimates have experienced three upward revisions and one downward revision, reflecting mixed market sentiment regarding Verisk's future performance, potentially influencing investor decisions.
- Market Sentiment Analysis: Despite Verisk's growth outlook being perceived as mediocre and negative sentiment prevailing, its ongoing investments in technology and AI may provide future growth momentum, especially with the upcoming UBS Global Technology and AI Conference likely to attract more attention.
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Analyst Views on VRSK
Wall Street analysts forecast VRSK stock price to rise
12 Analyst Rating
5 Buy
6 Hold
1 Sell
Moderate Buy
Current: 210.280
Low
220.00
Averages
252.89
High
300.00
Current: 210.280
Low
220.00
Averages
252.89
High
300.00
About VRSK
Verisk Analytics, Inc. is a data analytics and technology provider serving clients in the insurance ecosystem. The Company offers predictive analytics and decision support solutions to clients in rating, underwriting, claims, catastrophe, weather risk, and many other fields. Its insurance segment serves its property and casualty insurance customers across personal and commercial lines of business, focusing on insurance programs, the prediction of loss, the selection and pricing of risk, and compliance with their reporting requirements in each United States state in which they operate. It also develops and utilizes machine-learned and artificially intelligent models to forecast scenarios and produce both standard and customized analytics that help its customers better manage their businesses, including detecting fraud before and after a loss event. It owns a SaaS platform that supports an open ecosystem where specialized model partners make their models, hazard data and analytics.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
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See More
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