Nebius Group (NASDAQ:NBIS) Stock Price Up 7.6% – What’s Next?

Nebius Group N.V. (NASDAQ:NBIS)’s share price rose 7.6% during trading on Friday . The company traded as high as $27.79 and last traded at $28.17. Approximately 3,531,349 shares were traded during mid-day trading, a decline of 66% from the average daily volume of 10,364,977 shares. The stock had previously closed at $26.17.

Wall Street Analysts Forecast Growth

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

Nebius Group Stock Performance

The stock has a market cap of $6.62 billion, a P/E ratio of -49.32 and a beta of 2.47. The company has a 50-day simple moving average of $34.83.

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 fourth quarter, according to the company in its most recent filing with the Securities & Exchange Commission. The institutional investor acquired 343,130 shares of the company’s stock, valued at approximately $9,505,000. Centaurus Financial Inc. owned about 0.15% of Nebius Group at the end of the most recent quarter. 21.90% of the stock is owned by institutional investors and hedge funds.

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.