Axe Compute Inc (NASDAQ:AGPU) Short Interest Update

Axe Compute Inc (NASDAQ:AGPU) was the recipient of a large growth in short interest during 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 presently 0.9 days. Approximately 7.1% of the shares of the company are short sold.

Axe Compute Price Performance

Shares of NASDAQ AGPU opened at $10.62 on Tuesday. The stock has a market capitalization of $122.08 million, a PE ratio of -1.30 and a beta of 3.44. Axe Compute has a one year low of $1.03 and a one year high of $32.10. The business’s fifty day moving average price is $7.56 and its 200-day moving average price is $5.20.

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

Analysts Set New Price Targets

Several research firms have recently issued reports on AGPU. Wall Street Zen lowered Axe Compute from a “hold” rating to a “sell” rating in a report on Sunday. Weiss Ratings raised Axe Compute from a “sell (e+)” rating to a “sell (d-)” rating in a research report on Monday, June 1st. One equities research analyst has rated the stock with a Sell rating, According to MarketBeat.com, the stock has a consensus rating of “Sell”.

Axe Compute Company Profile

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.