Nebius Group N.V. (NASDAQ:NBIS - Get Free Report)'s stock price dropped 0.1% on Thursday . The company traded as low as $27.00 and last traded at $27.56. Approximately 3,849,542 shares changed hands during trading, a decline of 63% from the average daily volume of 10,328,812 shares. The stock had previously closed at $27.58.
Analysts Set New Price Targets
A number of brokerages have recently weighed in on NBIS. DA Davidson started coverage on Nebius Group in a research report on Tuesday, February 25th. They set a "buy" rating and a $50.00 price objective for the company. BWS Financial reissued a "buy" rating and set a $60.00 price target on shares of Nebius Group in a research note on Tuesday, March 4th.
View Our Latest Stock Analysis on Nebius Group
Nebius Group Stock Performance
The stock's 50 day simple moving average is $34.32. The firm has a market capitalization of $6.35 billion, a P/E ratio of -47.33 and a beta of 2.47.
Institutional Trading of Nebius Group
A hedge fund recently bought a new stake in Nebius Group stock. Centaurus Financial Inc. acquired a new position in shares of Nebius Group N.V. (NASDAQ:NBIS - Free Report) during the 4th quarter, according to its most recent Form 13F filing with the Securities & Exchange Commission. The fund acquired 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
(
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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