Nebius Group (NASDAQ:NBIS) Shares Down 5.1% – Time to Sell?

Nebius Group N.V. (NASDAQ:NBIS) traded down 5.1% during mid-day trading on Thursday . The stock traded as low as $26.70 and last traded at $26.94. 3,611,422 shares were traded during trading, a decline of 65% from the average session volume of 10,377,376 shares. The stock had previously closed at $28.40.

Wall Street Analyst Weigh In

Several research analysts recently weighed in on the company. DA Davidson initiated coverage on Nebius Group in a research report on Tuesday, February 25th. They issued a “buy” rating and a $50.00 target price on the stock. BWS Financial restated a “buy” rating and issued a $60.00 price target on shares of Nebius Group in a report on Tuesday, March 4th.

Nebius Group Price Performance

The business’s fifty day simple moving average is $34.91. The company has a market cap of $6.26 billion, a PE ratio of -46.87 and a beta of 2.47.

Institutional Investors Weigh In On Nebius Group

An institutional investor recently bought a new position in Nebius Group stock. Centaurus Financial Inc. acquired a new stake in Nebius Group N.V. (NASDAQ:NBIS) in the 4th quarter, according to the company in its most recent disclosure with the Securities and Exchange Commission (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 as of its most recent SEC filing. Institutional investors and hedge funds 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.