Nebius Group N.V. (NASDAQ:NBIS - Get Free Report) was down 3.9% during mid-day trading on Monday . The company traded as low as $27.10 and last traded at $27.63. Approximately 3,983,669 shares traded hands during mid-day trading, a decline of 62% from the average daily volume of 10,368,857 shares. The stock had previously closed at $28.75.
Analyst Upgrades and Downgrades
NBIS has been the subject of a number of recent analyst reports. DA Davidson initiated coverage on shares of Nebius Group in a research 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 set a $60.00 target price on shares of Nebius Group in a research report on Tuesday, March 4th.
Read Our Latest Report on Nebius Group
Nebius Group Stock Performance
The stock has a market capitalization of $6.35 billion, a price-to-earnings ratio of -47.33 and a beta of 2.47. The business's 50-day moving average is $34.32.
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) in the 4th quarter, according to the company in its most recent disclosure with the Securities and Exchange Commission. The firm 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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