Equities research analysts predict that Verisk Analytics (NASDAQ:VRSK) will announce $0.92 earnings per share for the current fiscal quarter, Zacks reports. Six analysts have provided estimates for Verisk Analytics’ earnings, with the highest EPS estimate coming in at $0.96 and the lowest estimate coming in at $0.86. Verisk Analytics posted earnings per share of $0.74 in the same quarter last year, which would suggest a positive year-over-year growth rate of 24.3%. The business is scheduled to issue its next quarterly earnings results after the market closes on Tuesday, May 1st.
According to Zacks, analysts expect that Verisk Analytics will report full year earnings of $3.97 per share for the current year, with EPS estimates ranging from $3.60 to $4.16. For the next year, analysts forecast that the business will post earnings of $4.40 per share, with EPS estimates ranging from $3.80 to $4.60. Zacks Investment Research’s EPS averages are a mean average based on a survey of sell-side research analysts that follow Verisk Analytics.
Verisk Analytics (NASDAQ:VRSK) last posted its earnings results on Tuesday, February 20th. The business services provider reported $1.34 earnings per share (EPS) for the quarter, topping the Thomson Reuters’ consensus estimate of $0.78 by $0.56. Verisk Analytics had a net margin of 25.88% and a return on equity of 33.58%. The firm had revenue of $570.30 million during the quarter, compared to analyst estimates of $557.09 million. During the same quarter in the prior year, the business posted $0.80 EPS. The business’s revenue was up 12.7% compared to the same quarter last year.
NASDAQ VRSK opened at $106.91 on Friday. The firm has a market capitalization of $17,408.73, a PE ratio of 33.31, a PEG ratio of 2.42 and a beta of 0.67. The company has a debt-to-equity ratio of 1.19, a current ratio of 0.45 and a quick ratio of 0.45. Verisk Analytics has a 1 year low of $75.60 and a 1 year high of $107.13.
In other Verisk Analytics news, EVP Kenneth E. Thompson sold 104,431 shares of the company’s stock in a transaction dated Wednesday, March 14th. The shares were sold at an average price of $105.07, for a total transaction of $10,972,565.17. Following the sale, the executive vice president now directly owns 141,973 shares of the company’s stock, valued at $14,917,103.11. The transaction was disclosed in a legal filing with the SEC, which is available through the SEC website. Also, CFO Lee Shavel acquired 399 shares of the company’s stock in a transaction on Monday, February 12th. The shares were acquired at an average cost of $94.05 per share, for a total transaction of $37,525.95. Following the completion of the acquisition, the chief financial officer now owns 23,128 shares of the company’s stock, valued at $2,175,188.40. The disclosure for this purchase can be found here. Over the last ninety days, insiders have acquired 1,110 shares of company stock worth $112,570 and have sold 401,642 shares worth $41,814,853. 3.19% of the stock is owned by corporate insiders.
Hedge funds and other institutional investors have recently added to or reduced their stakes in the business. Dupont Capital Management Corp purchased a new stake in shares of Verisk Analytics in the fourth quarter worth about $112,000. Fusion Family Wealth LLC bought a new position in shares of Verisk Analytics in the fourth quarter worth approximately $116,000. Virtue Capital Management LLC bought a new position in shares of Verisk Analytics in the fourth quarter worth approximately $121,000. Calton & Associates Inc. bought a new position in shares of Verisk Analytics in the fourth quarter worth approximately $183,000. Finally, IBM Retirement Fund bought a new position in shares of Verisk Analytics in the fourth quarter worth approximately $219,000. 92.42% of the stock is currently owned by institutional investors and hedge funds.
Verisk Analytics Company Profile
Verisk Analytics, Inc provides data analytics solutions for customers in the insurance, energy, and financial markets in the United States and internationally. Its Decision Analytics segment develops predictive models to forecast scenarios, and produce standard and customized analytics for predicting loss, selecting and pricing risk, detecting fraud before and after a loss event, and quantifying losses.
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