QumulusAI (NASDAQ:QMLS) Now Covered by Analysts at Compass Point

Research analysts at Compass Point assumed coverage on shares of QumulusAI (NASDAQ:QMLS) in a report issued on Friday, Benzinga reports. The brokerage set a “buy” rating and a $9.00 price target on the stock. Compass Point’s price objective suggests a potential upside of 120.59% from the company’s previous close.

Other equities analysts have also issued reports about the company. Wall Street Zen raised QumulusAI to a “hold” rating in a report on Saturday, July 25th. Weiss Ratings started coverage on QumulusAI in a research note on Monday. They issued a “sell (e-)” rating 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. Finally, Zacks Research raised QumulusAI to a “hold” rating in a research report on Friday, August 28th. Two investment analysts have rated the stock with a Buy rating, one has assigned a Hold rating and one has issued a Sell rating to the stock. Based on data from MarketBeat.com, the company has a consensus rating of “Hold” and a consensus target price of $16.00.

QumulusAI Stock Up 9.1%

QumulusAI stock opened at $4.08 on Friday. The company’s 50 day moving average is $6.14. QumulusAI has a twelve month low of $3.70 and a twelve month high of $38.00.

QumulusAI (NASDAQ:QMLS) last posted its quarterly earnings results on Tuesday, August 25th. The company reported ($0.72) EPS for the quarter. The company had revenue of $6.71 million for the quarter. On average, equities analysts expect that QumulusAI will post -2.93 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.