QumulusAI (NASDAQ:QMLS) Now Covered by B. Riley Financial

Investment analysts at B. Riley Financial began coverage on shares of QumulusAI (NASDAQ:QMLS) in a report issued on Wednesday, Briefing.com reports. The firm set a “buy” rating and a $11.00 price target on the stock. B. Riley Financial’s price objective suggests a potential upside of 208.99% from the stock’s previous close.

QMLS has been the topic of several other research reports. Wall Street Zen downgraded shares of QumulusAI from a “hold” rating to a “sell” rating in a research note on Saturday. Zacks Research upgraded shares of QumulusAI to a “hold” rating in a report on Friday, August 28th. Chardan Capital reissued a “buy” rating and issued a $23.00 price objective on shares of QumulusAI in a research report on Wednesday, September 30th. Compass Point assumed coverage on shares of QumulusAI in a research report on Friday, October 16th. They issued a “buy” rating and a $9.00 price objective for the company. Finally, Weiss Ratings began coverage on shares of QumulusAI in a research note on Monday, October 12th. They issued a “sell (e-)” rating on the stock. Three research analysts have rated the stock with a Buy rating, one has issued a Hold rating and one has issued a Sell rating to the company. According to data from MarketBeat.com, the company currently has a consensus rating of “Hold” and a consensus price target of $14.33.

QumulusAI Stock Performance

QMLS stock opened at $3.56 on Wednesday. QumulusAI has a twelve month low of $3.35 and a twelve month high of $38.00. The stock has a fifty day simple moving average of $6.00.

QumulusAI (NASDAQ:QMLS) last issued its 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. Sell-side analysts predict that QumulusAI will post -2.77 earnings per share for the current fiscal year.

About QumulusAI

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.