IKTSY vs. VRSK: Which Stock Is the Better Value Option?
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Jul 09 2024
0mins
Source: NASDAQ.COM
- Comparison of Companies: The article compares INTERTEK GP (IKTSY) and Verisk Analytics (VRSK) in terms of being undervalued stocks.
- Investment Strategy: It discusses a model that combines value grades and Zacks Rank to identify potential investment opportunities.
- Value Metrics: Traditional metrics like P/E ratio, P/S ratio, earnings yield, cash flow per share, and P/B ratio are used to evaluate undervalued companies.
- Company Analysis: IKTSY is rated higher in terms of value compared to VRSK due to stronger estimate revisions and more attractive valuation metrics.
- Stock Recommendation: The article mentions a little-known chemical company with high growth potential recommended by Zacks experts for significant upside.
Analyst Views on VRSK
Wall Street analysts forecast VRSK stock price to rise over the next 12 months. According to Wall Street analysts, the average 1-year price target for VRSK is 252.89 USD with a low forecast of 220.00 USD and a high forecast of 300.00 USD. However, analyst price targets are subjective and often lag stock prices, so investors should focus on the objective reasons behind analyst rating changes, which better reflect the company's fundamentals.
12 Analyst Rating
5 Buy
6 Hold
1 Sell
Moderate Buy
Current: 218.500
Low
220.00
Averages
252.89
High
300.00
Current: 218.500
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.
