SharonAI Holdings, Inc. Class A Common Stock (NASDAQ:SHAZ – Get Free Report) was the recipient of unusually large options trading on Wednesday. Traders acquired 3,844 call options on the stock. This represents an increase of approximately 73% compared to the typical volume of 2,218 call options.
SharonAI Holdings, Inc. Class A Common Stock Price Performance
SharonAI Holdings, Inc. Class A Common Stock stock traded down $6.14 during mid-day trading on Wednesday, reaching $78.52. 1,488,464 shares of the stock traded hands, compared to its average volume of 573,673. SharonAI Holdings, Inc. Class A Common Stock has a 12-month low of $1.90 and a 12-month high of $178.00. The firm’s 50-day simple moving average is $64.04. The company has a quick ratio of 1.04, a current ratio of 1.04 and a debt-to-equity ratio of 0.04. The firm has a market capitalization of $1.31 billion, a PE ratio of -54.91 and a beta of 5.75.
SharonAI Holdings, Inc. Class A Common Stock (NASDAQ:SHAZ – Get Free Report) last announced its earnings results on Friday, May 15th. The company reported ($1.43) earnings per share (EPS) for the quarter. The business had revenue of $0.29 million during the quarter.
Wall Street Analyst Weigh In
Read Our Latest Stock Analysis on SharonAI Holdings, Inc. Class A Common Stock
About SharonAI Holdings, Inc. Class A Common Stock
SharonAI Holdings Inc is a high-performance computing (HPC) company deploying large-scale energy and compute infrastructure, USA energy markets and infrastructure asset management. Its services include: Sovereign AI Australia, GPU-as-a-Service, SHARON AI Cloud, SHARON AI Private Cloud, Virtual Private Clusters, HPC Servers, SHARON AI Supercluster, GPU Fleet, Virtual Servers, Cloud Storage, AI Model Training, High-Performance Computing (HPC), and Video Encoding & Decoding. The company’s products are: Sovereign AI Australia, GPU-as-a-Service, SHARON AI Cloud, SHARON AI Private Cloud, Virtual Private Clusters, HPC Servers, SHARON AI Supercluster, GPU Fleet, Virtual Servers, Cloud Storage, AI Model Training, High Performance Computing (HPC), and Video Encoding & Decoding.
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