Amesite (AMST) Projected to Post Earnings on Wednesday

Amesite (NASDAQ:AMST) is anticipated to issue its Q3 2026 results after the market closes on Wednesday, May 13th. Analysts expect the company to announce earnings of ($0.96) per share and revenue of $0.25 million for the quarter. Parties may review the information on the company’s upcoming Q3 2026 earning report for the latest details on the call scheduled for Wednesday, May 13, 2026 at 9:30 AM ET.

Amesite (NASDAQ:AMST) last issued its quarterly earnings results on Thursday, February 5th. The company reported ($0.16) EPS for the quarter. The business had revenue of $0.11 million during the quarter. Amesite had a negative net margin of 1,024.91% and a negative return on equity of 118.33%.

Amesite Stock Performance

Shares of AMST opened at $0.98 on Wednesday. The company has a market capitalization of $4.47 million, a P/E ratio of -1.53 and a beta of 0.86. Amesite has a one year low of $0.88 and a one year high of $4.78. The stock has a 50-day moving average price of $1.68 and a 200 day moving average price of $2.14.

Institutional Trading of Amesite

A hedge fund recently bought a new stake in Amesite stock. HRT Financial LP acquired a new stake in shares of Amesite Inc. (NASDAQ:AMST) during the 4th quarter, according to the company in its most recent 13F filing with the Securities & Exchange Commission. The institutional investor acquired 22,040 shares of the company’s stock, valued at approximately $41,000. HRT Financial LP owned approximately 0.48% of Amesite as of its most recent SEC filing. Institutional investors own 3.60% of the company’s stock.

Analyst Ratings Changes

Separately, Weiss Ratings reissued a “sell (e+)” rating on shares of Amesite in a report on Friday, April 10th. One investment analyst has rated the stock with a Sell rating, Based on data from MarketBeat, the stock presently has an average rating of “Sell”.

About Amesite

Amesite, Inc (NASDAQ: AMST) is a software company specializing in AI-driven digital learning and training solutions. Its cloud-based platform enables organizations to create, manage and deliver customized online courses and professional development programs. Leveraging machine learning and natural language processing, the platform offers real-time analytics, adaptive content recommendations, multimedia assessments and community collaboration tools to support both synchronous and asynchronous learning.

The company’s primary end markets include corporate enterprises, higher education institutions, government agencies and nonprofit organizations.