Nebius Group (NASDAQ:NBIS) Trading Down 0.1% - Here's Why

Nebius Group N.V. (NASDAQ:NBIS - Get Free Report) traded down 0.1% during trading on Thursday . The company traded as low as $27.00 and last traded at $27.56. 3,849,542 shares were traded during trading, a decline of 63% from the average session volume of 10,328,812 shares. The stock had previously closed at $27.58.

Analyst Upgrades and Downgrades

Several research firms recently weighed in on NBIS. DA Davidson started 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 reissued a "buy" rating and issued a $60.00 price target on shares of Nebius Group in a research report on Tuesday, March 4th.

Nebius Group Stock Down 6.9 %

The stock has a market cap of $6.40 billion, a P/E ratio of -47.67 and a beta of 2.47. The stock's fifty day moving average price is $34.00.

Institutional Trading of 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 - Free Report) in the 4th quarter, according to its most recent Form 13F 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 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.

Remove Ads

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.