Nebius Group (NASDAQ:NBIS) Stock Price Down 6.9% – Should You Sell?

Shares of Nebius Group N.V. (NASDAQ:NBIS) fell 6.9% during trading on Tuesday . The company traded as low as $27.57 and last traded at $27.16. 4,349,662 shares changed hands during trading, a decline of 58% from the average session volume of 10,346,902 shares. The stock had previously closed at $29.19.

Wall Street Analyst Weigh In

NBIS has been the topic of a number of analyst reports. DA Davidson assumed coverage on Nebius Group in a research note on Tuesday, February 25th. They issued a “buy” rating and a $50.00 price target on the stock. BWS Financial restated 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 Stock Up 2.8 %

The firm’s 50-day simple moving average is $33.75. The company has a market capitalization of $5.98 billion, a PE ratio of -44.33 and a beta of 2.47.

Hedge Funds Weigh In On Nebius Group

A hedge fund recently bought a new stake in Nebius Group stock. Centaurus Financial Inc. purchased a new position in shares of Nebius Group N.V. (NASDAQ:NBIS) during the 4th quarter, according to the company in its most recent disclosure with the Securities & Exchange Commission. The fund purchased 343,130 shares of the company’s stock, valued at approximately $9,505,000. Centaurus Financial Inc. owned 0.15% of Nebius Group as of its most recent SEC filing. Institutional investors and hedge funds 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.