Nebius Group (NASDAQ:NBIS) Shares Down 7.4% – Time to Sell?

Nebius Group N.V. (NASDAQ:NBIS) was down 7.4% during mid-day trading on Tuesday . The stock traded as low as $26.22 and last traded at $26.21. Approximately 3,573,382 shares traded hands during trading, a decline of 65% from the average daily volume of 10,346,327 shares. The stock had previously closed at $28.29.

Analysts Set New Price Targets

NBIS has been the subject of a number of recent analyst reports. DA Davidson initiated coverage on Nebius Group in a research report on Tuesday, February 25th. They issued a “buy” rating and a $50.00 price objective for the company. BWS Financial restated a “buy” rating and issued a $60.00 target price on shares of Nebius Group in a research note on Tuesday, March 4th.

Nebius Group Stock Performance

The firm’s 50 day moving average price is $34.54. The firm has a market cap of $6.49 billion, a PE ratio of -48.39 and a beta of 2.47.

Hedge Funds 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 Nebius Group N.V. (NASDAQ:NBIS) during the 4th quarter, according to its most recent filing with the Securities and Exchange Commission. The fund acquired 343,130 shares of the company’s stock, valued at approximately $9,505,000. Centaurus Financial Inc. owned about 0.15% of Nebius Group at the end of the most recent quarter. 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.