Nebius Group (NASDAQ:NBIS) Trading 2.6% Higher – Still a Buy?

Nebius Group N.V. (NASDAQ:NBIS)’s share price traded up 2.6% during trading on Wednesday . The stock traded as high as $28.24 and last traded at $26.10. 8,143,032 shares traded hands during mid-day trading, a decline of 21% from the average session volume of 10,337,467 shares. The stock had previously closed at $25.45.

Analysts Set New Price Targets

Several equities research analysts have commented on the company. BWS Financial restated a “buy” rating and issued a $60.00 price objective on shares of Nebius Group in a research report on Tuesday, March 4th. DA Davidson began coverage on Nebius Group in a research report on Tuesday, February 25th. They issued a “buy” rating and a $50.00 price objective on the stock.

Nebius Group Price Performance

The firm has a market capitalization of $6.40 billion, a price-to-earnings ratio of -48.39 and a beta of 2.47. The company has a 50 day moving average of $34.83.

Institutional Inflows and Outflows

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 disclosure with the SEC. The institutional investor 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 reporting period. Institutional investors own 21.90% of the company’s stock.

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.