Nebius Group (NASDAQ:NBIS) Stock Price Down 5.1% – Here’s What Happened

Shares of Nebius Group N.V. (NASDAQ:NBIS) dropped 5.1% during mid-day trading on Thursday . The company traded as low as $26.70 and last traded at $26.94. Approximately 3,611,422 shares traded hands during mid-day trading, a decline of 65% from the average daily volume of 10,377,376 shares. The stock had previously closed at $28.40.

Wall Street Analyst Weigh In

Several equities analysts have recently commented on the stock. DA Davidson assumed coverage on shares of Nebius Group in a research report on Tuesday, February 25th. They set a “buy” rating and a $50.00 price target for the company. BWS Financial reaffirmed a “buy” rating and set a $60.00 target price on shares of Nebius Group in a research note on Tuesday, March 4th.

Nebius Group Price Performance

The company has a market cap of $6.26 billion, a price-to-earnings ratio of -46.87 and a beta of 2.47. The company’s fifty day moving average is $34.91.

Hedge Funds 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 disclosure with the Securities & Exchange Commission. The firm bought 343,130 shares of the company’s stock, valued at approximately $9,505,000. Centaurus Financial Inc. owned approximately 0.15% of Nebius Group as of its most recent SEC filing. Hedge funds and other 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.