Axe Compute Inc (NASDAQ:AGPU) Sees Significant Increase in Short Interest

Axe Compute Inc (NASDAQ:AGPU) saw a large growth in short interest in the month of July. As of July 31st, there was short interest totaling 800,605 shares, a growth of 57.0% from the July 15th total of 509,926 shares. Based on an average daily trading volume, of 875,954 shares, the short-interest ratio is currently 0.9 days. Currently, 7.1% of the company’s shares are sold short.

Wall Street Analysts Forecast Growth

A number of analysts recently commented on the stock. Weiss Ratings upgraded shares of Axe Compute from a “sell (e+)” rating to a “sell (d-)” rating in a research report on Monday, June 1st. Wall Street Zen lowered Axe Compute from a “hold” rating to a “sell” rating in a report on Sunday. One equities research analyst has rated the stock with a Sell rating, Based on data from MarketBeat.com, the company presently has an average rating of “Sell”.

Axe Compute Stock Performance

Shares of AGPU stock opened at $10.33 on Wednesday. The company has a market capitalization of $118.69 million, a P/E ratio of -1.26 and a beta of 3.44. The company’s 50 day moving average price is $7.63 and its two-hundred day moving average price is $5.25. Axe Compute has a 52 week low of $1.03 and a 52 week high of $32.10.

Axe Compute (NASDAQ:AGPU) last released its quarterly earnings results on Friday, August 14th. The company reported ($0.87) earnings per share for the quarter. Axe Compute had a negative net margin of 7,769.61% and a negative return on equity of 5,090.33%. The company had revenue of $3.21 million during the quarter.

About Axe Compute

Axe Compute (NASDAQ: AGPU) is an AI infrastructure company focused on providing enterprise-grade graphics processing unit (GPU) compute capacity for artificial intelligence, machine learning and other high-performance computing workloads. The company positions itself as an alternative to traditional hyperscale cloud providers by offering dedicated, bare-metal GPU infrastructure designed to give customers greater control over hardware configuration, deployment location and workload performance.

Its services include access to dedicated GPU clusters that can be configured for AI training, inference, simulation, diffusion models and other compute-intensive applications.