Insider Activity to Watch: Verisk Analytics, Inc. $VRSK

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Verisk Analytics, Inc. (VRSK) insider have most recently took part in a trading activity. On Jan 10, 2018 Shavel Lee, EVP and CFO bought 388 shares having total worth of $37,485 at the price of $96.61 per share, following the transaction a total of 22,729 shares owned by Shavel Lee. Before this latest buy, Shavel Lee purchased VRSK at 1 other times during the past twelve months, for a total investment of $37,580 at an average of $96.36 per share.

The stock has experienced a total of 12 insider trades in the past three months. These trades include 9 sell activities and 3 buy trades. Furthermore, over the past 12 months , the stock was traded 26 times by insiders. In 22 of these trades, the insider was a seller while an employee of the company was the buyer in 4 instances.

Time Frame Number of Insider Buy Number of Insider Sell Stock Price Change(%)
3 Month 3 9 19.65%
12 Month 4 22 12.5%

Shares of Verisk Analytics, Inc. (VRSK) traded up 0.5% on Jan 4, 2018, hitting $96.03. 960,974 shares of the company’s stock traded hands. Verisk Analytics, Inc. has a 52 week low of $76.75 and a 52 week high of $96.45. The company’s market cap is $13,750 million.

Verisk Analytics, Inc. (VRSK) last announced its earnings results on Oct 31, 2017. The company reported 0.84 earnings per share (EPS) for the quarter, higher than the consensus estimate of 0.78 by $0.06. The company had revenue of $549 million for the quarter, compared to the consensus estimate of $528 million. During the same quarter in the previous year, the company posted 0.84 earnings per share. The company’s revenue for the quarter was up 10% on a year-over-year basis.

2017-10-31 2017-08-01 2017-05-02 2017-02-21 2016-11-01 2016-08-02 2016-05-03 2016-02-23 2015-10-27 2015-07-28
earnings per share 0.84 0.82 0.74 0.80 0.84 0.73 0.75 0.80 0.85 0.77
Revenue(M) 549.1 523.2 502.6 506.1 498.08 498.3 492.7 560.56 550.4 497.65

Verisk Analytics, Inc., is incorporated in Delaware. It is a provider of information about risk to professionals in insurance, healthcare, mortgage, government, supply chain, and risk management. The Company by using advanced technologies to collect and analyze billions of records, draws on industry expertise and unique proprietary data sets to provide predictive analytics and decision-support solutions in fraud prevention, actuarial science, insurance coverages, fire protection, catastrophe and weather risk, data management, and many other fields. Its customers use its solutions to make better risk decisions with greater efficiency and discipline. The Company organizes its business in two segments: Risk Assessment and Decision Analytics. Its Risk Assessment segment serves its P&C insurance customers and focuses on the first two decision making processes in its Risk Analysis Framework: prediction of loss and selection and pricing of risk. Within this segment, it also provides solutions to help its insurance customers comply with their reporting requirements in each U.S. state in which they operate. In the Decision Analytics segment, it supports all four phases of its Risk Analysis Framework. It develops predictive models to forecast scenarios and produce both standard and customized analytics that help its customers better predict loss, select and price risk, detect fraud before and after a loss event, and quantify losses. The Company’s competitors includes other statistical agents, including the National Independent Statistical Service, the Independent Statistical Service and other advisory organizations, providing underwriting rules, prospective loss costs and coverage language such as the American Association of Insurance Services and Mutual Services Organization. The customers in its Risk Assessment segment for the lines of P&C services it offer include the top 100 P&C insurance providers in the United States, as well as insurers in international markets. It sells products and services mainly through direct interaction with its clients. The Company has two primary data centers in Jersey City, New Jersey and Orem, Utah. It employs a three-tier sales structure that includes salespeople, product specialists and sales support. The Company encounters competition from a number of sources, including insurers who develop internal technology and actuarial methods for proprietary insurance programs. Competitors also include other statistical agents, including the National Independent Statistical Service, the Independent Statistical Service and other advisory organizations, providing underwriting rules, prospective loss costs and coverage language such as the American Association of Insurance Services and Mutual Services Organization. Many of its products, services and operations as well as insurer use of its services are subject to state rather than federal regulation by virtue of the McCarran-Ferguson Act.

William White

William White is a financial writer. He graduated with a degree in Economics. He has contributed to major financial websites and print publications for over 8 years. He handles much of this site's news coverage for corporate insider activity, and occasionally cover other areas of financial sector.

About the Author

William White
William White is a financial writer. He graduated with a degree in Economics. He has contributed to major financial websites and print publications for over 8 years. He handles much of this site's news coverage for corporate insider activity, and occasionally cover other areas of financial sector.