Fusemachines (NASDAQ:FUSE) Announces Quarterly Earnings Results

Fusemachines (NASDAQ:FUSE) announced its quarterly earnings results on Tuesday. The company reported ($0.15) earnings per share for the quarter, FiscalAI reports. The business had revenue of $1.85 million for the quarter.

Fusemachines Price Performance

Shares of NASDAQ FUSE traded down $0.01 during midday trading on Tuesday, hitting $0.37. The company’s stock had a trading volume of 3,283 shares, compared to its average volume of 2,478,560. The business’s fifty day simple moving average is $0.51 and its two-hundred day simple moving average is $1.09. Fusemachines has a 1 year low of $0.32 and a 1 year high of $3.67. The firm has a market capitalization of $12.01 million, a price-to-earnings ratio of -2.84 and a beta of 0.91.

Institutional Investors Weigh In On Fusemachines

An institutional investor recently bought a new stake in Fusemachines stock. Calamos Advisors LLC purchased a new stake in Fusemachines Inc. (NASDAQ:FUSE) in the 3rd quarter, according to the company in its most recent Form 13F filing with the SEC. The firm purchased 75,000 shares of the company’s stock, valued at approximately $39,000. Calamos Advisors LLC owned 0.23% of Fusemachines as of its most recent SEC filing. Institutional investors own 46.80% of the company’s stock.

Wall Street Analysts Forecast Growth

Separately, Weiss Ratings restated a “sell (d)” rating on shares of Fusemachines in a report on Friday, August 21st. One analyst has rated the stock with a Sell rating. According to data from MarketBeat.com, the stock presently has an average rating of “Sell”.

Fusemachines Company Profile

Fusemachines is an artificial intelligence (AI) technology company that develops and delivers AI solutions for businesses and organizations. Its activities include AI strategy and consulting, data engineering, machine learning development, and the implementation of customized software designed to help clients automate processes and use data more effectively.

The company offers AI development and deployment tools, including platforms intended to support data preparation, model development, and the management of AI applications.