Nebius Group (NASDAQ:NBIS) Shares Up 2.6% – What’s Next?

Nebius Group N.V. (NASDAQ:NBIS) rose 2.6% during mid-day 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.

Analyst Upgrades and Downgrades

NBIS has been the topic of several research analyst reports. BWS Financial reiterated a “buy” rating and issued a $60.00 target price on shares of Nebius Group in a research report on Tuesday, March 4th. DA Davidson started coverage on shares of Nebius Group in a research note on Tuesday, February 25th. They issued a “buy” rating and a $50.00 price target on the stock.

Nebius Group Stock Up 12.0 %

The stock has a 50 day moving average price of $34.90. The stock has a market capitalization of $6.71 billion, a P/E ratio of -49.84 and a beta of 2.47.

Institutional Investors Weigh In On Nebius Group

A hedge fund recently bought a new stake in Nebius Group stock. Centaurus Financial Inc. purchased a new stake in Nebius Group N.V. (NASDAQ:NBIS) during the fourth quarter, according to its most recent Form 13F filing with the SEC. The fund purchased 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 filing with the SEC. 21.90% of the stock is currently owned by institutional investors.

About Nebius Group

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.