QumulusAI Inc. (NASDAQ:QMLS) Stock Has Average Target Price of $14.33 According to Brokerages

QumulusAI Inc. (NASDAQ:QMLS) has earned a consensus recommendation of “Hold” from the five brokerages that are covering the firm, MarketBeat Ratings reports. One equities research analyst has rated the stock with a sell rating, one has given a hold rating and three have issued a buy rating on the company. The average twelve-month price target among brokerages that have covered the stock in the last year is $14.33.

Several equities research analysts recently weighed in on QMLS shares. B. Riley Financial began coverage on QumulusAI in a report on Wednesday. They set a “buy” rating and a $11.00 price objective on the stock. Zacks Research raised QumulusAI to a “hold” rating in a report on Friday, August 28th. Compass Point began 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. Wall Street Zen downgraded QumulusAI from a “hold” rating to a “sell” rating in a research report on Saturday. Finally, Weiss Ratings assumed coverage on QumulusAI in a research note on Monday, October 12th. They set a “sell (e-)” rating on the stock.

QumulusAI Stock Up 7.6%

NASDAQ:QMLS traded up $0.27 on Wednesday, hitting $3.83. The company had a trading volume of 30,668 shares, compared to its average volume of 473,200. QumulusAI has a 52 week low of $3.35 and a 52 week high of $38.00. The stock has a market cap of $128.15 million and a PE ratio of -1.69. The company’s 50 day moving average price is $6.00.

QumulusAI (NASDAQ:QMLS) last posted its earnings results on Tuesday, August 25th. The company reported ($0.72) earnings per share for the quarter. The business had revenue of $6.71 million for the quarter. As a group, equities analysts expect that QumulusAI will post -2.77 earnings per share 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.