Short Interest in Rank One Computing Corp. (NASDAQ:ROC) Drops By 63.1%

Rank One Computing Corp. (NASDAQ:ROC) was the target of a large decline in short interest in the month of June. As of June 15th, there was short interest totaling 3,532 shares, a decline of 63.1% from the May 31st total of 9,577 shares. Currently, 0.0% of the shares of the company are short sold. Based on an average daily trading volume, of 30,643 shares, the short-interest ratio is presently 0.1 days.

Rank One Computing Price Performance

Shares of Rank One Computing stock opened at $5.97 on Friday. The company has a 50-day simple moving average of $5.28. Rank One Computing has a 52-week low of $3.71 and a 52-week high of $7.80.

Rank One Computing (NASDAQ:ROC) last released its quarterly earnings results on Tuesday, March 31st. The company reported ($0.12) EPS for the quarter. The company had revenue of $3.49 million for the quarter.

Analyst Upgrades and Downgrades

ROC has been the topic of several research analyst reports. Wall Street Zen raised shares of Rank One Computing to a “hold” rating in a report on Saturday, March 14th. Weiss Ratings initiated coverage on Rank One Computing in a research report on Friday, May 22nd. They issued a “sell (e-)” rating on the stock. Finally, Benchmark reiterated a “buy” rating on shares of Rank One Computing in a research note on Thursday. One equities research analyst has rated the stock with a Buy rating and one has issued a Sell rating to the company. According to MarketBeat.com, Rank One Computing has a consensus rating of “Hold” and a consensus price target of $9.00.

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.