Nebius Group (NASDAQ:NBIS) Shares Up 5.6% – What’s Next?

Nebius Group N.V. (NASDAQ:NBIS) shares shot up 5.6% during trading on Tuesday . The stock traded as high as $22.04 and last traded at $22.28. 4,847,496 shares were traded during mid-day trading, a decline of 54% from the average session volume of 10,639,603 shares. The stock had previously closed at $21.11.

Analysts Set New Price Targets

A number of research firms have recently issued reports on NBIS. DA Davidson began coverage on shares of Nebius Group in a report on Tuesday, February 25th. They set a “buy” rating and a $50.00 price target on the stock. BWS Financial reissued a “buy” rating and set a $60.00 target price on shares of Nebius Group in a research note on Tuesday, March 4th.

Nebius Group Stock Performance

The stock has a market capitalization of $5.76 billion, a PE ratio of -42.89 and a beta of 2.47. The firm has a 50 day moving average of $32.34 and a 200-day moving average of $27.40.

Institutional Trading of Nebius Group

A hedge fund recently bought a new stake in Nebius Group stock. Centaurus Financial Inc. bought a new position in Nebius Group N.V. (NASDAQ:NBIS) in the fourth quarter, according to the company in its most recent filing with the Securities and Exchange Commission. The institutional investor 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 SEC filing. 21.90% of the stock is currently owned by hedge funds and other institutional investors.

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.