QumulusAI (NASDAQ:QMLS) Stock Rating Reaffirmed as “Buy” by Chardan Capital

QumulusAI (NASDAQ:QMLS – Get Free Report)‘s stock had its “buy” rating reaffirmed by equities research analysts at Chardan Capital in a report issued on Wednesday, Benzinga reports. They presently have a $23.00 target price on the stock. Chardan Capital’s price objective would indicate a potential upside of 254.94% from the company’s previous close.

Several other research analysts have also recently weighed in on QMLS. Wall Street Zen raised QumulusAI to a “hold” rating in a research report on Saturday, July 25th. Zacks Research raised QumulusAI to a “hold” rating in a research report on Friday, August 28th. One equities research analyst has rated the stock with a Buy rating and one has assigned a Hold rating to the company. Based on data from MarketBeat, the stock presently has a consensus rating of “Moderate Buy” and a consensus target price of $23.00.

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QumulusAI Price Performance

Shares of QumulusAI stock traded down $0.05 during trading hours on Wednesday, hitting $6.48. The company’s stock had a trading volume of 213,681 shares, compared to its average volume of 503,921. QumulusAI has a 12 month low of $5.06 and a 12 month high of $38.00. The stock has a 50 day simple moving average of $6.52.

QumulusAI (NASDAQ:QMLS – Get Free Report) last announced its quarterly earnings results on Tuesday, August 25th. The company reported ($0.72) earnings per share (EPS) for the quarter. The business had revenue of $6.71 million during the quarter. On average, equities analysts anticipate that QumulusAI will post -2.71 EPS for the current fiscal year.

About QumulusAI

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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.

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