Profusa (NASDAQ:PFSA) Shares to Reverse Split on Tuesday, July 7th

Profusa, Inc. (NASDAQ:PFSAFree Report)’s stock is set to reverse split on Tuesday, July 7th. The 1-25 reverse split was recently announced. The number of shares owned by shareholders will be adjusted after the market closes on Monday, July 6th.

Profusa Price Performance

Shares of Profusa stock remained flat at $0.09 during trading on Friday. The company had a trading volume of 6,920,470 shares, compared to its average volume of 7,929,186. Profusa has a 12 month low of $0.08 and a 12 month high of $180.00. The stock has a 50-day simple moving average of $0.33 and a 200-day simple moving average of $2.53.

Profusa (NASDAQ:PFSAGet Free Report) last released its quarterly earnings data on Friday, May 15th. The company reported ($2.05) EPS for the quarter.

Wall Street Analyst Weigh In

A number of research analysts recently weighed in on PFSA shares. Weiss Ratings restated a “sell (e+)” rating on shares of Profusa in a research report on Wednesday, June 24th. Wall Street Zen raised shares of Profusa from a “strong sell” rating to a “sell” rating in a research report on Saturday, April 18th. One equities research analyst has rated the stock with a Sell rating, According to MarketBeat, Profusa has an average rating of “Sell”.

View Our Latest Research Report on PFSA

Profusa Company Profile

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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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