Nebius Group N.V. (NASDAQ:NBIS - Get Free Report) traded down 0.1% during mid-day trading on Thursday . The company traded as low as $27.00 and last traded at $27.56. 3,849,542 shares traded hands during trading, a decline of 63% from the average session volume of 10,328,812 shares. The stock had previously closed at $27.58.
Wall Street Analysts Forecast Growth
A number of equities analysts have weighed in on the stock. DA Davidson assumed coverage on shares of Nebius Group in a research note on Tuesday, February 25th. They set a "buy" rating and a $50.00 target price for the company. BWS Financial reaffirmed a "buy" rating and set a $60.00 price objective on shares of Nebius Group in a research report on Tuesday, March 4th.
Read Our Latest Report on Nebius Group
Nebius Group Stock Up 8.5 %
The stock has a market cap of $6.89 billion, a price-to-earnings ratio of -51.35 and a beta of 2.47. The stock's 50 day moving average price is $34.32.
Hedge Funds Weigh In On Nebius Group
A hedge fund recently bought a new stake in Nebius Group stock. Centaurus Financial Inc. acquired a new stake in shares of Nebius Group N.V. (NASDAQ:NBIS - Free Report) during the fourth quarter, according to the company in its most recent 13F filing with the Securities and Exchange Commission (SEC). The institutional investor acquired 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 SEC filing. Hedge funds and other institutional investors own 21.90% of the company's stock.
About Nebius Group
(
Get Free Report)
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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