Nebius Group (NASDAQ:NBIS) Shares Down 5.1% – Should You Sell?

Nebius Group N.V. (NASDAQ:NBIS)’s share price was down 5.1% during trading on Friday . The stock traded as low as $23.83 and last traded at $24.10. Approximately 4,049,135 shares were traded during trading, a decline of 61% from the average daily volume of 10,429,127 shares. The stock had previously closed at $25.41.

Wall Street Analysts Forecast Growth

Several analysts have issued reports on the stock. DA Davidson began coverage on shares of Nebius Group in a research report on Tuesday, February 25th. They issued a “buy” rating and a $50.00 price objective for the company. BWS Financial reaffirmed a “buy” rating and set a $60.00 price target on shares of Nebius Group in a research note on Tuesday, March 4th.

Nebius Group Stock Performance

The stock’s 50 day moving average is $33.23. The firm has a market cap of $5.25 billion, a PE ratio of -39.14 and a beta of 2.47.

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) in the 4th quarter, according to its most recent Form 13F filing with the SEC. The firm acquired 343,130 shares of the company’s stock, valued at approximately $9,505,000. Centaurus Financial Inc. owned approximately 0.15% of Nebius Group at the end of the most recent reporting period. 21.90% of the stock is currently 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.