Axe Compute Inc (NASDAQ:AGPU) Short Interest Update

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

Axe Compute Stock Up 28.4%

AGPU stock opened at $10.62 on Tuesday. Axe Compute has a twelve month low of $1.03 and a twelve month high of $32.10. The stock’s 50 day moving average is $7.56 and its 200-day moving average is $5.20. The firm has a market capitalization of $122.08 million, a PE ratio of -1.30 and a beta of 3.44.

Axe Compute (NASDAQ:AGPU) last announced its quarterly earnings results on Friday, August 14th. The company reported ($0.87) earnings per share (EPS) 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 company had revenue of $3.21 million for the quarter.

Analysts Set New Price Targets

A number of brokerages have commented on AGPU. Weiss Ratings raised Axe Compute from a “sell (e+)” rating to a “sell (d-)” rating in a research note on Monday, June 1st. Wall Street Zen lowered Axe Compute from a “hold” rating to a “sell” rating in a research report on Sunday. One investment analyst has rated the stock with a Sell rating, According to data from MarketBeat.com, the company currently has a consensus rating of “Sell”.

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.