Nebius Group (NASDAQ:NBIS) Stock Price Up 0% – What’s Next?

Nebius Group N.V. (NASDAQ:NBIS) shot up 0% during trading on Thursday . The company traded as high as $24.95 and last traded at $24.71. 7,298,693 shares changed hands during trading, a decline of 30% from the average session volume of 10,407,190 shares. The stock had previously closed at $24.71.

Analyst Upgrades and Downgrades

Several equities analysts recently issued reports on the company. BWS Financial reiterated a “buy” rating and issued a $60.00 price objective on shares of Nebius Group in a research report on Tuesday, March 4th. DA Davidson assumed 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 Performance

The stock has a market cap of $5.25 billion, a PE ratio of -39.14 and a beta of 2.47. The business has a fifty day moving average price of $33.23.

Institutional Investors Weigh In On Nebius Group

A hedge fund recently bought a new stake in Nebius Group stock. Centaurus Financial Inc. acquired a new stake in Nebius Group N.V. (NASDAQ:NBIS) during the fourth quarter, according to its most recent filing with the Securities & Exchange Commission. The firm 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 as of its most recent SEC filing. 21.90% of the stock is owned by hedge funds and other 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.