Nebius Group N.V. (NASDAQ:NBIS - Get Free Report) was up 2.6% during trading on Wednesday . The stock traded as high as $28.24 and last traded at $26.10. Approximately 8,143,032 shares traded hands during mid-day trading, a decline of 21% from the average daily volume of 10,337,467 shares. The stock had previously closed at $25.45.
Analysts Set New Price Targets
Several research analysts recently commented on NBIS shares. BWS Financial reissued a "buy" rating and issued a $60.00 price objective on shares of Nebius Group in a research note on Tuesday, March 4th. DA Davidson started coverage on Nebius Group in a research note on Tuesday, February 25th. They issued a "buy" rating and a $50.00 price objective for the company.
Get Our Latest Stock Analysis on Nebius Group
Nebius Group Stock Up 3.8 %
The business's 50 day simple moving average is $34.83. The stock has a market capitalization of $6.40 billion, a PE ratio of -48.39 and a beta of 2.47.
Institutional Trading of Nebius Group
An institutional investor recently bought a new position in Nebius Group stock. Centaurus Financial Inc. bought a new stake in Nebius Group N.V. (NASDAQ:NBIS - Free Report) in the 4th quarter, according to its most recent 13F filing with the Securities and Exchange Commission. The institutional investor bought 343,130 shares of the company's stock, valued at approximately $9,505,000. Centaurus Financial Inc. owned approximately 0.15% of Nebius Group as of its most recent SEC filing. Institutional investors and hedge funds own 21.90% of the company's stock.
Nebius Group Company Profile
(
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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