Nebius Group (NASDAQ:NBIS) Trading Up 0% – Should You Buy?

Nebius Group N.V. (NASDAQ:NBIS) shares traded up 0% on Thursday . The stock traded as high as $24.95 and last traded at $24.71. 7,298,693 shares changed hands 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.

Analysts Set New Price Targets

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

Nebius Group Price Performance

The stock has a market capitalization of $5.72 billion, a PE ratio of -42.63 and a beta of 2.47. The business has a fifty day moving average price of $33.75.

Institutional Investors Weigh In On Nebius Group

A hedge fund recently bought a new stake in Nebius Group stock. Centaurus Financial Inc. bought a new stake in shares of Nebius Group N.V. (NASDAQ:NBIS) in the 4th quarter, according to the company in its most recent 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 about 0.15% of Nebius Group as of its most recent filing with the SEC. 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.