Nebius Group (NASDAQ:NBIS) Stock Price Up 7.8% – Still a Buy?

Nebius Group N.V. (NASDAQ:NBIS) shares shot up 7.8% during trading on Monday . The company traded as high as $28.84 and last traded at $29.08. 3,866,504 shares traded hands during mid-day trading, a decline of 62% from the average session volume of 10,294,346 shares. The stock had previously closed at $26.98.

Analysts Set New Price Targets

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

Nebius Group Stock Down 6.9 %

The stock’s 50 day moving average is $34.00. The firm has a market capitalization of $6.40 billion, a PE ratio of -47.67 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. bought a new position in shares of Nebius Group N.V. (NASDAQ:NBIS) in the 4th quarter, according to its most recent 13F filing with the SEC. The fund bought 343,130 shares of the company’s stock, valued at approximately $9,505,000. Centaurus Financial Inc. owned 0.15% of Nebius Group at the end of the most recent quarter. 21.90% of the stock is currently owned by 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.