Nebius Group (NASDAQ:NBIS) Shares Gap Down – Should You Sell?

Nebius Group N.V. (NASDAQ:NBIS)’s stock price gapped down prior to trading on Thursday . The stock had previously closed at $24.71, but opened at $23.40. Nebius Group shares last traded at $24.24, with a volume of 5,399,000 shares changing hands.

Analysts Set New Price Targets

Several brokerages have issued reports on NBIS. DA Davidson initiated coverage on Nebius Group in a report on Tuesday, February 25th. They issued a “buy” rating and a $50.00 target price for the company. BWS Financial restated a “buy” rating and issued a $60.00 price objective on shares of Nebius Group in a report on Tuesday, March 4th.

Nebius Group Stock Down 12.2 %

The stock has a market cap of $5.25 billion, a price-to-earnings ratio of -39.14 and a beta of 2.47. The firm has a 50-day simple moving average of $33.23.

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 stake in Nebius Group N.V. (NASDAQ:NBIS) during the fourth quarter, according to its most recent 13F filing with the Securities and Exchange Commission (SEC). The fund acquired 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 filing with the Securities and Exchange Commission (SEC). Institutional investors and hedge funds own 21.90% of the company’s stock.

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.