Rank One Computing Corp.’s Lock-Up Period To End on August 19th (NASDAQ:ROC)

Rank One Computing’s (NASDAQ:ROC) lock-up period will expire on Wednesday, August 19th. Rank One Computing had issued 4,000,000 shares in its public offering on February 20th. The total size of the offering was $24,000,000 based on an initial share price of $6.00. After the end of the company’s lock-up period, restrictions preventing company insiders and major shareholders from selling shares in the company will be lifted.

Analysts Set New Price Targets

A number of research firms have recently weighed in on ROC. Benchmark reaffirmed a “buy” rating on shares of Rank One Computing in a research report on Thursday, June 25th. Weiss Ratings upgraded Rank One Computing from a “sell (e-)” rating to a “sell (e)” rating in a report on Monday, August 3rd. One investment analyst has rated the stock with a Buy rating and one has assigned a Sell rating to the company’s stock. According to data from MarketBeat, the company has an average rating of “Hold” and a consensus price target of $9.00.

Rank One Computing Price Performance

Shares of NASDAQ:ROC opened at $4.49 on Friday. Rank One Computing has a 12 month low of $3.71 and a 12 month high of $7.80. The firm has a market cap of $85.67 million and a price-to-earnings ratio of -24.94. The stock’s fifty day moving average is $4.78.

Rank One Computing (NASDAQ:ROC) last announced its earnings results on Thursday, August 13th. The company reported ($0.04) earnings per share (EPS) for the quarter. The firm had revenue of $5.09 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.