Nebius Group (NASDAQ:NBIS) Trading Down 9.1% – Here’s What Happened

Nebius Group N.V. (NASDAQ:NBIS)’s stock price was down 9.1% on Wednesday . The stock traded as low as $24.43 and last traded at $24.71. Approximately 8,348,866 shares changed hands during trading, a decline of 19% from the average daily volume of 10,302,914 shares. The stock had previously closed at $27.17.

Wall Street Analyst Weigh In

Several research analysts have recently issued reports on the company. DA Davidson started coverage on Nebius Group in a research note 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 price target on shares of Nebius Group in a research report on Tuesday, March 4th.

Nebius Group Trading Down 11.2 %

The company has a market cap of $5.68 billion, a PE ratio of -42.37 and a beta of 2.47. The company’s 50-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) during the fourth quarter, according to its most recent disclosure with the SEC. The institutional investor 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 as of its most recent filing with the SEC. 21.90% of the stock is owned by hedge funds and other institutional investors.

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.