SharonAI Holdings, Inc. Class A Common Stock’s Quiet Period Will End on March 30th (NASDAQ:SHAZ)

SharonAI Holdings, Inc. Class A Common Stock’s (NASDAQ:SHAZ) quiet period is set to expire on Monday, March 30th. SharonAI Holdings, Inc. Class A Common Stock had issued 4,166,666 shares in its IPO on February 18th. The total size of the offering was $124,999,980 based on an initial share price of $30.00. During SharonAI Holdings, Inc. Class A Common Stock’s quiet period, insiders and underwriters that worked on the IPO are restricted from issuing any research reports for the company because of SEC regulations. Following the end of the company’s quiet period, the brokerages that served as underwriters will likely initiate research coverage on the company.

Analyst Ratings Changes

Separately, Weiss Ratings began coverage on SharonAI Holdings, Inc. Class A Common Stock in a research note on Friday, February 20th. They issued a “sell (d)” rating for the company. One analyst has rated the stock with a Sell rating, According to MarketBeat, the company has an average rating of “Sell”.

SharonAI Holdings, Inc. Class A Common Stock Price Performance

Shares of NASDAQ:SHAZ opened at $23.61 on Friday. SharonAI Holdings, Inc. Class A Common Stock has a 1 year low of $1.90 and a 1 year high of $178.00.

SharonAI Holdings, Inc. Class A Common Stock Company Profile

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.