Nebius Group (NASDAQ:NBIS) Stock Price Down 0.1% – Time to Sell?

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

Analyst Ratings Changes

NBIS has been the subject of a number of research reports. BWS Financial reaffirmed a “buy” rating and set a $60.00 price target on shares of Nebius Group in a research note on Tuesday, March 4th. DA Davidson began coverage on shares of 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 Down 5.0 %

The stock has a market cap of $6.17 billion, a P/E ratio of -45.96 and a beta of 2.47. The company has a fifty day moving average price of $34.54.

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 position in shares of Nebius Group N.V. (NASDAQ:NBIS) in the 4th quarter, according to its most recent filing with the Securities and Exchange Commission (SEC). The firm acquired 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 quarter. 21.90% of the stock is owned by hedge funds and other 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.