Research analysts at Northland Securities initiated coverage on shares of Nebius Group (NASDAQ:NBIS – Get Free Report) in a research note issued to investors on Tuesday, MarketBeat Ratings reports. The firm set an “outperform” rating and a $34.00 price target on the stock. Northland Securities’ price target suggests a potential upside of 24.08% from the company’s previous close.
NBIS has been the topic of several other reports. BWS Financial reiterated a “buy” rating and set a $60.00 target price on shares of Nebius Group in a research report on Tuesday, March 4th. DA Davidson cut their price objective on shares of Nebius Group from $50.00 to $30.00 and set a “buy” rating on the stock in a report on Monday, April 14th.
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Nebius Group Stock Performance
Institutional Investors Weigh In On Nebius Group
Institutional investors and hedge funds have recently added to or reduced their stakes in the company. WCM Investment Management LLC acquired a new stake in Nebius Group during the 1st quarter worth approximately $11,998,000. DekaBank Deutsche Girozentrale acquired a new stake in shares of Nebius Group in the first quarter worth $8,519,000. Centaurus Financial Inc. acquired a new stake in shares of Nebius Group in the fourth quarter worth $9,505,000. Pinnacle Associates Ltd. purchased a new position in shares of Nebius Group in the 1st quarter valued at $4,042,000. Finally, SG Americas Securities LLC acquired a new position in shares of Nebius Group during the 1st quarter valued at $3,415,000. 21.90% of the stock is currently owned by institutional investors and hedge funds.
About Nebius Group
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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