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

Equities research analysts at B. Riley Financial initiated coverage on shares of QumulusAI (NASDAQ:QMLS) in a note issued to investors 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 target would suggest a potential upside of 208.99% from the stock’s current price.

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

QumulusAI Price Performance

NASDAQ QMLS opened at $3.56 on Wednesday. The company’s 50 day moving average price is $6.00. QumulusAI has a 1-year low of $3.35 and a 1-year high of $38.00.

QumulusAI (NASDAQ:QMLS) last issued its quarterly earnings data on Tuesday, August 25th. The company reported ($0.72) earnings per share (EPS) for the quarter. The firm had revenue of $6.71 million during the quarter. As a group, research analysts forecast that QumulusAI will post -2.77 EPS 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.