QumulusAI (NASDAQ:QMLS) Stock Price Target Lowered at Chardan Capital

QumulusAI (NASDAQ:QMLS) had its target price cut by equities researchers at Chardan Capital to $13.00 in a report issued on Wednesday, Benzinga reports. The brokerage presently has a “buy” rating on the stock. Chardan Capital‘s price target points to a potential upside of 323.45% from the stock’s current price.

A number of other research analysts also recently weighed in on the stock. B. Riley Financial assumed coverage on shares of QumulusAI in a research report on Wednesday, October 21st. They set a “buy” rating and a $11.00 target price for the company. Zacks Research upgraded QumulusAI to a “hold” rating in a research note on Friday, August 28th. Weiss Ratings started coverage on QumulusAI in a report on Monday, October 12th. They set a “sell (e-)” rating for the company. Compass Point started coverage on QumulusAI in a research report on Friday, October 16th. They issued a “buy” rating and a $9.00 target price for the company. Finally, Wall Street Zen cut QumulusAI from a “hold” rating to a “sell” rating in a research report on Saturday, October 17th. 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 stock. Based on data from MarketBeat, QumulusAI presently has an average rating of “Hold” and a consensus price target of $11.00.

QumulusAI Price Performance

Shares of NASDAQ:QMLS opened at $3.07 on Wednesday. QumulusAI has a 1 year low of $2.58 and a 1 year high of $38.00. The company has a market cap of $102.72 million and a P/E ratio of -1.35. The company has a fifty day simple moving average of $5.11.

QumulusAI (NASDAQ:QMLS) last released its earnings results on Tuesday, November 10th. The company reported ($0.29) EPS for the quarter, missing analysts’ consensus estimates of ($0.27) by ($0.02). On average, sell-side analysts forecast 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.