Nebius Group (NASDAQ:NBIS) Stock Price Down 0.4% – Here’s What Happened

Nebius Group N.V. (NASDAQ:NBIS)’s stock price was down 0.4% on Friday . The company traded as low as $25.54 and last traded at $26.08. Approximately 1,886,707 shares changed hands during trading, a decline of 82% from the average daily volume of 10,304,761 shares. The stock had previously closed at $26.18.

Analysts Set New Price Targets

A number of equities analysts have weighed in on NBIS shares. BWS Financial reaffirmed a “buy” rating and set a $60.00 price target on shares of Nebius Group in a research report on Tuesday, March 4th. DA Davidson began coverage on Nebius Group in a research report on Tuesday, February 25th. They set a “buy” rating and a $50.00 price target for the company.

Nebius Group Trading Up 1.0 %

The company has a market cap of $6.22 billion, a P/E ratio of -46.59 and a beta of 2.47. The firm has a 50-day simple moving average of $34.45.

Institutional Investors Weigh In On Nebius Group

A hedge fund recently bought a new stake in Nebius Group stock. Centaurus Financial Inc. acquired a new stake in shares of Nebius Group N.V. (NASDAQ:NBIS) in the fourth quarter, according to its most recent filing with the Securities and Exchange Commission (SEC). The firm 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 reporting period. 21.90% of the stock is owned by institutional investors and hedge funds.

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.