Compass Point Initiates Coverage on QumulusAI (NASDAQ:QMLS)

Equities researchers at Compass Point initiated coverage on shares of QumulusAI (NASDAQ:QMLS) in a research 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 stock’s current price.

Several other research analysts also recently commented on the company. Wall Street Zen upgraded QumulusAI to a “hold” rating in a research note on Saturday, July 25th. Weiss Ratings began coverage on QumulusAI in a report on Monday. They set a “sell (e-)” rating for the company. Zacks Research upgraded QumulusAI to a “hold” rating in a research report on Friday, August 28th. Finally, Chardan Capital reiterated a “buy” rating and set a $23.00 price target on shares of QumulusAI in a research report on Wednesday, September 30th. Two research analysts have rated the stock with a Buy rating, one has given a Hold rating and one has given a Sell rating to the company’s stock. According to MarketBeat, QumulusAI currently has an average rating of “Hold” and an average price target of $16.00.

QumulusAI Price Performance

QumulusAI stock opened at $4.08 on Friday. QumulusAI has a one year low of $3.70 and a one year high of $38.00. The stock has a fifty day moving average of $6.14.

QumulusAI (NASDAQ:QMLS) last announced its quarterly earnings results on Tuesday, August 25th. The company reported ($0.72) earnings per share for the quarter. The firm had revenue of $6.71 million during the quarter. Analysts anticipate 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.