Nebius Group (NASDAQ:NBIS) Shares Down 5.3% – Time to Sell?

Nebius Group N.V. (NASDAQ:NBIS) shares traded down 5.3% during mid-day trading on Monday . The company traded as low as $20.72 and last traded at $21.12. 6,274,783 shares changed hands during mid-day trading, a decline of 41% from the average session volume of 10,622,128 shares. The stock had previously closed at $22.31.

Analyst Ratings Changes

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

Nebius Group Stock Performance

The stock has a market cap of $5.04 billion, a P/E ratio of -37.38 and a beta of 2.47. The firm’s 50 day moving average is $33.23.

Hedge Funds Weigh In On Nebius Group

A hedge fund recently bought a new stake in Nebius Group stock. Centaurus Financial Inc. bought a new stake in Nebius Group N.V. (NASDAQ:NBIS) in the fourth quarter, according to its most recent 13F filing with the Securities and Exchange Commission (SEC). The firm 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 filing with the Securities and Exchange Commission (SEC). Hedge funds and other institutional investors own 21.90% of the company’s stock.

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.