QumulusAI (NASDAQ:QMLS) Cut to Sell at Wall Street Zen

Wall Street Zen lowered shares of QumulusAI (NASDAQ:QMLS) from a hold rating to a sell rating in a research report sent to investors on Saturday morning,Wall Street Zen reports.

Several other equities research analysts have also recently issued reports on the company. Zacks Research raised QumulusAI to a “hold” rating in a research note on Friday, August 28th. Compass Point initiated coverage on QumulusAI in a research note on Friday. They issued a “buy” rating and a $9.00 price target on the stock. Weiss Ratings started coverage on QumulusAI in a report on Monday, October 12th. They set a “sell (e-)” rating for the company. Finally, Chardan Capital reissued a “buy” rating and set a $23.00 price objective on shares of QumulusAI in a research report on Wednesday, September 30th. Two investment analysts have rated the stock with a Buy rating, one has given a Hold rating and one has given a Sell rating to the stock. According to data from MarketBeat.com, the stock currently has a consensus rating of “Hold” and a consensus price target of $16.00.

QumulusAI Price Performance

QumulusAI stock opened at $3.75 on Friday. The company has a 50 day moving average price of $6.05. QumulusAI has a 1-year low of $3.70 and a 1-year high of $38.00.

QumulusAI (NASDAQ:QMLS) last released its quarterly earnings results on Tuesday, August 25th. The company reported ($0.72) EPS for the quarter. The firm had revenue of $6.71 million for the quarter. As a group, equities analysts forecast that QumulusAI will post -2.93 earnings per share for the current fiscal year.

QumulusAI Company Profile

QumulusAI is a cloud infrastructure company specializing in rapid deployment of graphics processing unit (“GPU”)-powered solutions for artificial intelligence (“AI”) applications, serving a critical market that is often overlooked by large-scale cloud providers (“hyperscalers”), which operate massive, standardized computing infrastructures primarily serving the largest enterprises. Our platform delivers flexible, competitively priced, and customizable solutions for underserved small and mid-market customers—including machine learning teams, AI infrastructure startups, and research institutions—while also supporting the scale and complexity requirements of large enterprises, such as long-term deployments or supplemental on-demand compute capacity.