Shares of Nebius Group N.V. (NASDAQ:NBIS – Get Free Report) were up 5.4% during mid-day trading on Wednesday . The stock traded as high as $27.49 and last traded at $27.07. Approximately 3,470,444 shares traded hands during mid-day trading, a decline of 66% from the average daily volume of 10,336,064 shares. The stock had previously closed at $25.67.
Wall Street Analysts Forecast Growth
Several equities research analysts have commented on NBIS shares. BWS Financial restated a “buy” rating and issued a $60.00 price objective on shares of Nebius Group in a research report on Tuesday, March 4th. DA Davidson began coverage on Nebius Group in a research report on Tuesday, February 25th. They set a “buy” rating and a $50.00 price target on the stock.
Check Out Our Latest Report on Nebius Group
Nebius Group Price Performance
Institutional Trading of Nebius Group
An institutional investor recently bought a new position in Nebius Group stock. Centaurus Financial Inc. bought a new stake in Nebius Group N.V. (NASDAQ:NBIS – Free Report) in the 4th quarter, according to the company in its most recent filing with the Securities and Exchange Commission. The firm 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 as of its most recent filing with the Securities and Exchange Commission. 21.90% of the stock is currently 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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