Rank One Computing Corp. (NASDAQ:ROC – Get Free Report) was the recipient of a significant drop in short interest in the month of May. As of May 15th, there was short interest totaling 7,212 shares, a drop of 40.0% from the April 30th total of 12,029 shares. Based on an average daily volume of 29,762 shares, the short-interest ratio is presently 0.2 days. Approximately 0.0% of the shares of the stock are sold short.
Wall Street Analyst Weigh In
ROC has been the subject of a number of research reports. Benchmark initiated coverage on shares of Rank One Computing in a research report on Tuesday, April 7th. They set a “buy” rating and a $9.00 target price for the company. Wall Street Zen upgraded shares of Rank One Computing to a “hold” rating in a research report on Saturday, March 14th. Finally, Weiss Ratings initiated coverage on shares of Rank One Computing in a research report on Friday, May 22nd. They set a “sell (e-)” rating for the company. One investment analyst has rated the stock with a Buy rating and one has issued a Sell rating to the company. Based on data from MarketBeat.com, Rank One Computing currently has a consensus rating of “Hold” and an average target price of $9.00.
View Our Latest Stock Report on Rank One Computing
Rank One Computing Stock Down 4.6%
Rank One Computing (NASDAQ:ROC – Get Free Report) last released its earnings results on Tuesday, March 31st. The company reported ($0.12) earnings per share (EPS) for the quarter. The company had revenue of $3.49 million for the quarter.
Rank One Computing Company Profile
ROC is an independent American artificial intelligence company redefining the global standard for Vision AI in identity, security, and digital forensics. Our Vision AI platform delivers real-time facial recognition, multimodal biometric verification, video analytics, and AI-powered evidence analysis to mission-critical organizations across both private and public sectors. ROC’s biometric algorithms are routinely ranked by the National Institute of Standards and Technology (“NIST”) as among the most accurate and computationally efficient globally.
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