Shares of Nebius Group N.V. (NASDAQ:NBIS – Get Free Report) were down 8.5% on Thursday . The company traded as low as $21.58 and last traded at $22.38. Approximately 5,699,259 shares traded hands during mid-day trading, a decline of 47% from the average daily volume of 10,758,460 shares. The stock had previously closed at $24.45.
Analysts Set New Price Targets
A number of equities research analysts have recently issued reports on NBIS shares. BWS Financial reaffirmed a “buy” rating and set a $60.00 target price on shares of Nebius Group in a report on Tuesday, March 4th. DA Davidson began coverage on shares of Nebius Group in a research note on Tuesday, February 25th. They set a “buy” rating and a $50.00 price objective for the company.
Check Out Our Latest Stock Report on Nebius Group
Nebius Group Stock Down 6.8 %
Institutional Investors Weigh In On Nebius Group
A hedge fund recently bought a new stake in Nebius Group stock. Centaurus Financial Inc. bought a new stake in Nebius Group N.V. (NASDAQ:NBIS – Free Report) during the fourth quarter, according to the company in its most recent disclosure with the Securities & Exchange Commission. The institutional investor bought 343,130 shares of the company’s stock, valued at approximately $9,505,000. Centaurus Financial Inc. owned about 0.15% of Nebius Group at the end of the most recent reporting period. Hedge funds and other institutional investors own 21.90% of the company’s stock.
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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