QumulusAI (NASDAQ:QMLS) Stock Dropped to “Sell” by Wall Street Zen

QumulusAI (NASDAQ:QMLS – Get Free Report) was downgraded by Wall Street Zen from a “hold” rating to a “sell” rating in a research report issued on Saturday, Wall Street Zen reports.

QMLS has been the topic of a number of other reports. Weiss Ratings started coverage on QumulusAI in a report on Monday. They issued a “sell (e-)” rating on the stock. Chardan Capital reaffirmed a “buy” rating and issued a $23.00 price objective on shares of QumulusAI in a research report on Wednesday, September 30th. Zacks Research raised QumulusAI to a “hold” rating in a report on Friday, August 28th. Finally, Compass Point assumed coverage on shares of QumulusAI in a report on Friday. They issued a “buy” rating and a $9.00 price objective for the company. Two equities research analysts have rated the stock with a Buy rating, one has assigned a Hold rating and one has issued a Sell rating to the company. Based on data from MarketBeat, QumulusAI has a consensus rating of “Hold” and an average target price of $16.00.

Check Out Our Latest Stock Report on QumulusAI

QumulusAI Trading Down 6.6%

Shares of QMLS stock opened at $3.81 on Friday. QumulusAI has a 52-week low of $3.70 and a 52-week high of $38.00. The firm has a 50 day simple moving average of $6.09.

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

About QumulusAI

(Get Free Report)

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.

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