QumulusAI (NASDAQ:QMLS) Research Coverage Started at B. Riley Financial

B. Riley Financial initiated coverage on shares of QumulusAI (NASDAQ:QMLS) in a research report sent to investors on Wednesday morning, MarketBeat reports. The brokerage issued a buy rating and a $11.00 target price on the stock.

Other research analysts also recently issued research reports about the company. Compass Point started coverage on QumulusAI in a report on Friday, October 16th. They set a “buy” rating and a $9.00 target price on the stock. Chardan Capital restated a “buy” rating and issued a $23.00 target price on shares of QumulusAI in a research note on Wednesday, September 30th. Zacks Research upgraded QumulusAI to a “hold” rating in a research note on Friday, August 28th. Wall Street Zen lowered QumulusAI from a “hold” rating to a “sell” rating in a research report on Saturday, October 17th. Finally, Weiss Ratings assumed coverage on QumulusAI in a research report on Monday, October 12th. They set a “sell (e-)” rating on the stock. Three equities research analysts have rated the stock with a Buy rating, one has given a Hold rating and one has issued a Sell rating to the company. According to data from MarketBeat.com, the company presently has a consensus rating of “Hold” and an average price target of $14.33.

QumulusAI Price Performance

Shares of NASDAQ QMLS opened at $3.20 on Wednesday. QumulusAI has a 1 year low of $3.14 and a 1 year high of $38.00. The stock has a market capitalization of $107.07 million and a PE ratio of -1.40. The company’s 50-day moving average is $5.79.

QumulusAI (NASDAQ:QMLS) last issued its quarterly earnings data on Tuesday, August 25th. The company reported ($0.72) EPS for the quarter. The business had revenue of $6.71 million for the quarter. On average, equities analysts anticipate that QumulusAI will post -2.71 EPS for the current 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.