Verisk Analytics, Inc. (NASDAQ:VRSK – Get Free Report) declared a quarterly dividend on Wednesday, October 22nd. Shareholders 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 yield of 0.8%. The ex-dividend date of this dividend is Monday, December 15th.
Verisk Analytics has increased its dividend by an average of 0.1%per year over the last three years and has increased its dividend every year for the last 6 years. Verisk Analytics has a dividend payout ratio of 22.8% indicating that its dividend is sufficiently covered by earnings. Equities 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 Trading Up 0.4%
Shares of VRSK stock traded up $0.85 on Friday, reaching $217.14. 1,113,902 shares of the stock were exchanged, compared to its average volume of 1,286,444. The company has a debt-to-equity ratio of 8.55, a current ratio of 1.19 and a quick ratio of 1.19. Verisk Analytics has a one year low of $196.99 and a one year high of $322.92. The stock has a market cap of $30.26 billion, a PE ratio of 33.10, a P/E/G ratio of 3.40 and a beta of 0.81. The stock has a 50 day moving average price of $225.57 and a 200 day moving average price of $263.64.
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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