Nebius Group N.V. (NASDAQ:NBIS - Get Free Report)'s stock price fell 5.1% during trading on Thursday . The stock traded as low as $26.70 and last traded at $26.94. 3,611,422 shares were traded during trading, a decline of 65% from the average session volume of 10,377,376 shares. The stock had previously closed at $28.40.
Analysts Set New Price Targets
Several research firms have recently commented on NBIS. DA Davidson assumed coverage on Nebius Group in a report on Tuesday, February 25th. They set a "buy" rating and a $50.00 target price for the company. BWS Financial reissued a "buy" rating and issued a $60.00 price objective on shares of Nebius Group in a report on Tuesday, March 4th.
Check Out Our Latest Report on Nebius Group
Nebius Group Price Performance
The firm has a market capitalization of $6.04 billion, a price-to-earnings ratio of -45.04 and a beta of 2.47. The business has a fifty day moving average of $34.72.
Hedge Funds Weigh In On Nebius Group
An institutional investor recently bought a new position in Nebius Group stock. Centaurus Financial Inc. bought a new position in Nebius Group N.V. (NASDAQ:NBIS - Free Report) in the fourth quarter, according to its most recent 13F filing 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 0.15% of Nebius Group at the end of the most recent reporting period. 21.90% of the stock is owned by institutional investors and hedge funds.
Nebius Group Company Profile
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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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