Nebius Group N.V. (NASDAQ:NBIS - Get Free Report) shares rose 7.6% during trading on Friday . The company traded as high as $27.79 and last traded at $28.17. Approximately 3,531,349 shares traded hands during trading, a decline of 66% from the average daily volume of 10,364,977 shares. The stock had previously closed at $26.17.
Wall Street Analyst Weigh In
NBIS has been the subject of a number of research analyst reports. DA Davidson initiated coverage on Nebius Group in a research note on Tuesday, February 25th. They set a "buy" rating and a $50.00 price target for the company. BWS Financial reiterated a "buy" rating and issued a $60.00 target price on shares of Nebius Group in a research note on Tuesday, March 4th.
View Our Latest Analysis on Nebius Group
Nebius Group Price Performance
The company has a market capitalization of $6.48 billion, a P/E ratio of -48.11 and a beta of 2.47. The business's 50-day moving average price is $34.78.
Institutional Trading of 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 4th quarter, according to its most recent filing with the SEC. 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 quarter. 21.90% of the stock is currently 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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