Restoration Robotics (HAIR) Receives News Sentiment Score of 0.11

Media stories about Restoration Robotics (NASDAQ:HAIR) have been trending somewhat positive this week, Accern Sentiment reports. The research group identifies negative and positive news coverage by analyzing more than 20 million news and blog sources. Accern ranks coverage of publicly-traded companies on a scale of negative one to positive one, with scores nearest to one being the most favorable. Restoration Robotics earned a coverage optimism score of 0.11 on Accern’s scale. Accern also assigned news articles about the company an impact score of 46.3937741666388 out of 100, meaning that recent news coverage is somewhat unlikely to have an effect on the company’s share price in the immediate future.

HAIR has been the subject of a number of research reports. Craig Hallum initiated coverage on Restoration Robotics in a research report on Wednesday, February 14th. They set a “buy” rating and a $10.00 price target for the company. Roth Capital set a $7.50 price target on Restoration Robotics and gave the stock a “buy” rating in a research report on Thursday, December 14th. Zacks Investment Research cut Restoration Robotics from a “hold” rating to a “sell” rating in a research report on Thursday, March 8th. Finally, ValuEngine raised Restoration Robotics from a “strong sell” rating to a “sell” rating in a research report on Friday, February 2nd.

Shares of Restoration Robotics (HAIR) traded down $0.08 on Wednesday, reaching $5.92. The company’s stock had a trading volume of 69,616 shares, compared to its average volume of 100,874. Restoration Robotics has a 12 month low of $3.80 and a 12 month high of $11.95. The company has a quick ratio of 2.06, a current ratio of 2.26 and a debt-to-equity ratio of 0.40.

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About Restoration Robotics

Restoration Robotics, Inc is a medical device company. The Company designs and develops the ARTAS Robotic Hair Transplant System, a physician-assisted system to harvest follicular units directly from the scalp and create recipient implant sites using algorithms. It offers machine vision, image guidance, visual servoing and robotics, as well as develops interfaces to manage these technologies.

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