Nebius Group (NASDAQ:NBIS – Free Report) had its price target hoisted by DA Davidson from $35.00 to $45.00 in a research report sent to investors on Monday,Benzinga reports. The firm currently has a buy rating on the stock.
NBIS has been the subject of several other research reports. Northland Securities began coverage on Nebius Group in a report on Tuesday, May 6th. They set an “outperform” rating and a $34.00 price objective for the company. Northland Capmk upgraded Nebius Group to a “strong-buy” rating in a report on Tuesday, May 6th. Finally, BWS Financial reiterated a “buy” rating and set a $60.00 price objective on shares of Nebius Group in a report on Tuesday, March 4th.
Check Out Our Latest Stock Analysis on NBIS
Nebius Group Stock Up 0.6%
Hedge Funds Weigh In On Nebius Group
Hedge funds have recently made changes to their positions in the company. IFP Advisors Inc acquired a new position in shares of Nebius Group in the 1st quarter valued at $25,000. First Horizon Advisors Inc. acquired a new position in shares of Nebius Group in the 1st quarter valued at $33,000. Banque Cantonale Vaudoise acquired a new stake in Nebius Group during the 1st quarter worth about $33,000. Manchester Capital Management LLC acquired a new stake in Nebius Group during the 1st quarter worth about $34,000. Finally, Whipplewood Advisors LLC acquired a new stake in Nebius Group during the 1st quarter worth about $36,000. 21.90% of the stock is owned by institutional investors and hedge funds.
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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