Profusa Stock to Reverse Split on Monday, February 9th (NASDAQ:PFSA)

Profusa, Inc. (NASDAQ:PFSAFree Report) shares are scheduled to reverse split on the morning of Monday, February 9th. The 1-75 reverse split was announced on Thursday, February 5th. The number of shares owned by shareholders will be adjusted after the closing bell on Friday, February 6th.

Profusa Stock Performance

Shares of PFSA traded down $0.03 during trading hours on Thursday, hitting $0.05. 14,921,879 shares of the company were exchanged, compared to its average volume of 15,006,069. The company’s 50 day simple moving average is $0.11. Profusa has a 52 week low of $0.05 and a 52 week high of $2.40.

Profusa (NASDAQ:PFSAGet Free Report) last issued its quarterly earnings data on Wednesday, November 19th. The company reported ($0.70) earnings per share for the quarter.

Wall Street Analysts Forecast Growth

Separately, Weiss Ratings reaffirmed a “sell (e+)” rating on shares of Profusa in a research report on Monday, December 29th. One research analyst has rated the stock with a Sell rating, According to MarketBeat, the stock currently has an average rating of “Sell”.

Check Out Our Latest Analysis on Profusa

About Profusa

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Profusa develops implantable, tissue-integrated biosensors and associated reader technology designed to provide continuous, real-time monitoring of physiological biomarkers. Its platform uses a biocompatible, porous hydrogel sensor that is placed under the skin via a minimally invasive procedure and becomes perfused with tissue; an external optical reader interrogates the sensor to convert fluorescent or optical signals into quantitative measurements such as local tissue oxygen levels. The company’s approach emphasizes long-duration sensing from a single implanted device rather than repeated spot measurements.

The technology is being positioned to support a range of clinical and commercial applications, including chronic disease management, wound and post-surgical monitoring, and clinical research where continuous molecular-level data can improve decision-making.

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