Nebius Group (NASDAQ:NBIS) Trading Down 0.4% – Here’s Why

Nebius Group N.V. (NASDAQ:NBIS) traded down 0.4% during trading on Friday . The stock traded as low as $25.54 and last traded at $26.08. 1,886,707 shares traded hands during mid-day trading, a decline of 82% from the average session volume of 10,304,761 shares. The stock had previously closed at $26.18.

Analyst Upgrades and Downgrades

Several equities research analysts recently commented on the company. BWS Financial reissued 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 assumed coverage on Nebius Group in a research note on Tuesday, February 25th. They issued a “buy” rating and a $50.00 price target for the company.

Nebius Group Trading Up 3.1 %

The stock has a market capitalization of $6.35 billion, a price-to-earnings ratio of -47.33 and a beta of 2.47. The company’s 50 day moving average is $34.32.

Institutional Investors Weigh In On Nebius Group

An institutional investor recently bought a new position in Nebius Group stock. Centaurus Financial Inc. bought a new position in Nebius Group N.V. (NASDAQ:NBIS) in the 4th quarter, according to its most recent 13F filing with the Securities and Exchange Commission. The fund bought 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 filing with the Securities and Exchange Commission. Institutional investors and hedge funds own 21.90% of the company’s stock.

Nebius Group Company Profile

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.