Shares of Nebius Group N.V. (NASDAQ:NBIS – Get Free Report) were up 7.8% during trading on Monday . The company traded as high as $28.84 and last traded at $29.08. Approximately 3,866,504 shares were traded during trading, a decline of 62% from the average daily volume of 10,294,346 shares. The stock had previously closed at $26.98.
Wall Street Analysts Forecast Growth
A number of research analysts recently weighed in on NBIS shares. DA Davidson assumed coverage on shares of Nebius Group in a research note on Tuesday, February 25th. They issued a “buy” rating and a $50.00 price objective for the company. BWS Financial reiterated a “buy” rating and issued a $60.00 price target on shares of Nebius Group in a research report on Tuesday, March 4th.
View Our Latest Research Report on NBIS
Nebius Group Stock Up 8.2 %
Institutional Trading of Nebius Group
An institutional investor recently bought a new position in Nebius Group stock. Centaurus Financial Inc. purchased a new position in Nebius Group N.V. (NASDAQ:NBIS – Free Report) during the 4th quarter, according to the company in its most recent disclosure with the Securities and Exchange Commission (SEC). The institutional investor purchased 343,130 shares of the company’s stock, valued at approximately $9,505,000. Centaurus Financial Inc. owned 0.15% of Nebius Group as of its most recent filing with the Securities and Exchange Commission (SEC). 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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