Shares of Nebius Group N.V. (NASDAQ:NBIS – Get Free Report) shot up 12.6% during mid-day trading on Wednesday . The stock traded as high as $98.48 and last traded at $97.78. 12,880,907 shares were traded during trading, a decline of 4% from the average session volume of 13,407,658 shares. The stock had previously closed at $86.80.
Analyst Upgrades and Downgrades
NBIS has been the subject of several research reports. Compass Point assumed coverage on shares of Nebius Group in a research report on Wednesday, February 18th. They set a “buy” rating and a $150.00 price objective for the company. Wall Street Zen downgraded Nebius Group from a “hold” rating to a “sell” rating in a research note on Saturday, November 15th. Northland Securities increased their price target on Nebius Group from $206.00 to $211.00 and gave the stock an “outperform” rating in a research report on Wednesday, November 12th. Morgan Stanley assumed coverage on Nebius Group in a report on Thursday, January 15th. They issued an “equal weight” rating and a $126.00 price target on the stock. Finally, Freedom Capital upgraded Nebius Group to a “strong-buy” rating in a research note on Tuesday, February 3rd. Two research analysts have rated the stock with a Strong Buy rating, seven have issued a Buy rating, one has assigned a Hold rating and one has assigned a Sell rating to the stock. According to MarketBeat, the company has an average rating of “Moderate Buy” and a consensus target price of $143.22.
Check Out Our Latest Report on Nebius Group
Nebius Group Trading Up 12.6%
Nebius Group (NASDAQ:NBIS – Get Free Report) last posted its quarterly earnings results on Thursday, February 12th. The company reported ($0.69) earnings per share for the quarter, missing analysts’ consensus estimates of ($0.42) by ($0.27). Nebius Group had a negative return on equity of 11.70% and a net margin of 19.02%.The firm had revenue of $227.70 million for the quarter, compared to analysts’ expectations of $246.05 million. Sell-side analysts forecast that Nebius Group N.V. will post -1.1 EPS for the current year.
Institutional Investors Weigh In On Nebius Group
Hedge funds have recently made changes to their positions in the stock. Orbis Allan Gray Ltd raised its stake in shares of Nebius Group by 12.4% in the second quarter. Orbis Allan Gray Ltd now owns 17,651,930 shares of the company’s stock valued at $976,681,000 after purchasing an additional 1,949,708 shares in the last quarter. Fred Alger Management LLC increased its stake in shares of Nebius Group by 33.4% in the third quarter. Fred Alger Management LLC now owns 10,132,279 shares of the company’s stock valued at $1,137,551,000 after buying an additional 2,536,832 shares in the last quarter. Jericho Capital Asset Management L.P. lifted its position in Nebius Group by 55.7% during the 3rd quarter. Jericho Capital Asset Management L.P. now owns 4,607,497 shares of the company’s stock worth $517,284,000 after buying an additional 1,648,497 shares in the last quarter. Morgan Stanley grew its holdings in Nebius Group by 35.2% during the 4th quarter. Morgan Stanley now owns 3,704,659 shares of the company’s stock worth $310,099,000 after acquiring an additional 964,984 shares during the last quarter. Finally, Invesco Ltd. increased its position in Nebius Group by 2.7% in the 2nd quarter. Invesco Ltd. now owns 3,587,811 shares of the company’s stock valued at $198,514,000 after acquiring an additional 92,710 shares in the last quarter. Institutional investors own 21.90% of the company’s stock.
Nebius Group Company Profile
Nebius Group N.V., a technology company, builds intelligent products and services powered by machine learning and other technologies to help consumers and businesses navigate the online and offline world. The company’s services include Nebius AI, an AI-centric cloud platform that offers infrastructure and computing capability for AI deployment and machine-learning oriented solutions; and Toloka AI that offers generative AI (GenAI) solutions at every stage of the GenAI lifecycle, such as data annotation and generation, model training and fine-tuning, and quality assessment of large language model for accuracy and reliability.
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