Nebius Group (NASDAQ:NBIS) Trading Up 0% – What’s Next?

Shares of Nebius Group N.V. (NASDAQ:NBIS) traded up 0% on Thursday . The company traded as high as $24.95 and last traded at $24.71. 7,298,693 shares were traded during mid-day trading, a decline of 30% from the average session volume of 10,407,190 shares. The stock had previously closed at $24.71.

Wall Street Analyst Weigh In

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

Nebius Group Trading Down 1.7 %

The stock has a market cap of $5.72 billion, a P/E ratio of -42.63 and a beta of 2.47. The firm has a 50-day moving average of $33.75.

Institutional Trading of Nebius Group

A hedge fund recently bought a new stake in Nebius Group stock. Centaurus Financial Inc. purchased a new stake in shares of Nebius Group N.V. (NASDAQ:NBIS) in the fourth quarter, according to its most recent disclosure with the Securities and Exchange Commission. The firm purchased 343,130 shares of the company’s stock, valued at approximately $9,505,000. Centaurus Financial Inc. owned approximately 0.15% of Nebius Group at the end of the most recent reporting period. 21.90% of the stock is 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.