SharonAI Holdings, Inc. Class A Common Stock (NASDAQ:SHAZ) Coverage Initiated by Analysts at Cantor Fitzgerald

Cantor Fitzgerald assumed coverage on shares of SharonAI Holdings, Inc. Class A Common Stock (NASDAQ:SHAZ) in a research note issued to investors on Thursday, Marketbeat.com reports. The brokerage issued an overweight rating and a $40.00 price objective on the stock.

A number of other research firms also recently issued reports on SHAZ. Wall Street Zen downgraded SharonAI Holdings, Inc. Class A Common Stock to a “strong sell” rating in a research report on Saturday, April 4th. Weiss Ratings started coverage on SharonAI Holdings, Inc. Class A Common Stock in a research report on Friday, February 20th. They issued a “sell (d)” rating on the stock. One research analyst has rated the stock with a Buy rating and one has issued a Sell rating to the company. Based on data from MarketBeat, SharonAI Holdings, Inc. Class A Common Stock has an average rating of “Hold” and an average price target of $40.00.

SharonAI Holdings, Inc. Class A Common Stock Price Performance

NASDAQ:SHAZ opened at $30.66 on Thursday. SharonAI Holdings, Inc. Class A Common Stock has a 52-week low of $1.90 and a 52-week high of $178.00.

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.