Fusemachines Inc. (NASDAQ:FUSE) Stock Short Interest Report for October

Fusemachines Inc. (NASDAQ:FUSE – Get Free Report) saw a large decrease in short interest during the month of October. As of October 15th, there was short interest totaling 557,986 shares, a decrease of 36.3% from the September 30th total of 876,007 shares. Based on an average daily volume of 152,925 shares, the days-to-cover ratio is currently 3.6 days. Currently, 2.5% of the company’s shares are short sold.

Analysts Set New Price Targets

Separately, Weiss Ratings reiterated a “sell (d)” rating on shares of Fusemachines in a research note on Friday, August 21st. One equities research analyst has rated the stock with a Sell rating. According to MarketBeat, Fusemachines currently has a consensus rating of “Sell”.

View Our Latest Research Report on FUSE

Fusemachines Stock Performance

Shares of NASDAQ FUSE traded up $0.03 during midday trading on Monday, hitting $0.39. 2,018 shares of the stock traded hands, compared to its average volume of 2,502,115. The company has a market cap of $12.79 million, a PE ratio of -3.02 and a beta of 0.95. Fusemachines has a one year low of $0.32 and a one year high of $3.67. The business has a 50 day moving average price of $0.52 and a two-hundred day moving average price of $1.09.

Fusemachines (NASDAQ:FUSE – Get Free Report) last issued its earnings results on Friday, August 7th. The company reported ($0.10) earnings per share (EPS) for the quarter. The company had revenue of $1.79 million during the quarter.

About Fusemachines

(Get Free Report)

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.

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