Verisk Analytics, Inc. (NASDAQ:VRSK – Get Free Report) declared a quarterly dividend on Wednesday, October 22nd. Stockholders of record on Monday, December 15th will be given a dividend of 0.45 per share by the business services provider on Wednesday, December 31st. This represents a c) annualized dividend and a dividend yield of 0.8%. The ex-dividend date of this dividend is Monday, December 15th.
Verisk Analytics has raised its dividend payment by an average of 0.1%annually over the last three years and has increased its dividend every year for the last 6 years. Verisk Analytics has a payout ratio of 22.8% indicating that its dividend is sufficiently covered by earnings. Analysts expect Verisk Analytics to earn $7.25 per share next year, which means the company should continue to be able to cover its $1.80 annual dividend with an expected future payout ratio of 24.8%.
Verisk Analytics Stock Up 0.4%
Shares of VRSK stock traded up $0.85 during mid-day trading on Friday, reaching $217.14. 1,113,902 shares of the company were exchanged, compared to its average volume of 1,286,444. The company has a debt-to-equity ratio of 8.55, a quick ratio of 1.19 and a current ratio of 1.19. The business’s 50 day simple moving average is $225.57 and its 200 day simple moving average is $263.64. The company has a market capitalization of $30.26 billion, a P/E ratio of 33.10, a P/E/G ratio of 3.40 and a beta of 0.81. Verisk Analytics has a fifty-two week low of $196.99 and a fifty-two week high of $322.92.
Insider Buying and Selling at Verisk Analytics
In related news, CEO Lee Shavel sold 1,100 shares of the business’s stock in a transaction that occurred on Monday, November 17th. The stock was sold at an average price of $216.99, for a total transaction of $238,689.00. Following the sale, the chief executive officer owned 77,807 shares of the company’s stock, valued at $16,883,340.93. The trade was a 1.39% decrease in their ownership of the stock. The sale was disclosed in a document filed with the Securities & Exchange Commission, which is available at the SEC website. Also, Director Jeffrey J. Dailey purchased 500 shares of the firm’s stock in a transaction on Friday, October 31st. The shares were purchased at an average cost of $217.03 per share, with a total value of $108,515.00. Following the completion of the purchase, the director owned 3,962 shares in the company, valued at $859,872.86. This represents a 14.44% increase in their position. The disclosure for this purchase is available in the SEC filing. Over the last ninety days, insiders have acquired 1,450 shares of company stock valued at $314,663 and have sold 2,000 shares valued at $452,871. Insiders own 0.46% of the company’s stock.
Institutional Inflows and Outflows
Hedge funds have recently added to or reduced their stakes in the business. Alecta Tjanstepension Omsesidigt acquired a new stake in shares of Verisk Analytics during the 3rd quarter worth about $44,902,000. Allworth Financial LP grew its position in Verisk Analytics by 18.3% during the 3rd quarter. Allworth Financial LP now owns 1,988 shares of the business services provider’s stock worth $500,000 after acquiring an additional 308 shares during the last quarter. IFP Advisors Inc increased its holdings in Verisk Analytics by 26.6% during the 3rd quarter. IFP Advisors Inc now owns 395 shares of the business services provider’s stock valued at $105,000 after purchasing an additional 83 shares in the last quarter. CIBC Bancorp USA Inc. acquired a new position in Verisk Analytics during the 3rd quarter worth about $6,136,000. Finally, Danica Pension Livsforsikringsaktieselskab bought a new position in shares of Verisk Analytics in the third quarter worth about $10,392,000. Institutional investors and hedge funds own 90.00% of the company’s stock.
About Verisk Analytics
Verisk Analytics, Inc provides data analytics and technology solutions to the insurance markets in the United States and internationally. It offers policy language, prospective loss costs, policy writing and rating rules, and various underwriting solutions for risk selection and segmentation, pricing, and workflow optimization; property- and auto- specific rating and underwriting information solutions that allows clients to understand, quantify, underwrite, mitigate, and avoid potential loss for risks; catastrophe modeling solutions, which enables companies to identify, quantify, and plan for the financial consequences of catastrophes for use by insurers, reinsurers, intermediaries, financial institutions, and governments.
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