OneMedNet (NASDAQ:ONMD) Director Thomas Kosasa Acquires 129,758 Shares of Company Stock

OneMedNet Corporation (NASDAQ:ONMD – Get Free Report) Director Thomas Kosasa purchased 129,758 shares of the company’s stock in a transaction on Wednesday, October 7th. The stock was acquired at an average price of $5.78 per share, with a total value of $750,001.24. Following the purchase, the director owned 1,983,573 shares of the company’s stock, valued at approximately $11,465,051.94. This represents a 7.00% increase in their ownership of the stock. The purchase was disclosed in a document filed with the SEC, which is accessible through this hyperlink.

Thomas Kosasa also recently made the following trade(s):

  • On Thursday, July 30th, Thomas Kosasa acquired 144,927 shares of OneMedNet stock. The shares were bought at an average cost of $6.90 per share, for a total transaction of $999,996.30.

OneMedNet Stock Up 2.3%

Shares of OneMedNet stock traded up $0.09 during trading hours on Tuesday, reaching $4.02. 37,062 shares of the company were exchanged, compared to its average volume of 70,608. OneMedNet Corporation has a 1 year low of $3.61 and a 1 year high of $32.00. The stock’s fifty day moving average is $6.10 and its 200 day moving average is $7.25.

Wall Street Analysts Forecast Growth

Separately, Weiss Ratings upgraded OneMedNet from a “sell (e+)” rating to a “sell (d-)” rating in a report on Monday, August 24th. One research analyst has rated the stock with a Sell rating. According to MarketBeat, OneMedNet presently has an average rating of “Sell”.

View Our Latest Analysis on ONMD

About OneMedNet

(Get Free Report)

OneMedNet Corporation is a healthcare technology company that develops infrastructure for accessing, managing and analyzing medical data. Its platform is designed to help healthcare providers, researchers, life sciences companies and other authorized users work with clinical and medical-imaging information while keeping the underlying data within the organization that controls it.

The company’s technology uses a federated data model, allowing participating institutions to collaborate on data analysis without routinely transferring sensitive patient information to a centralized repository.

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