Nebius Group (NASDAQ:NBIS) Shares Gap Down – What’s Next?

Nebius Group N.V. (NASDAQ:NBISGet Free Report)’s share 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.

Analyst Ratings Changes

NBIS has been the subject of a number of research analyst reports. DA Davidson began coverage on Nebius Group in a report on Tuesday, February 25th. They set 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 note on Tuesday, March 4th.

Read Our Latest Research Report on Nebius Group

Nebius Group Trading Down 0.3 %

The firm has a market cap of $5.80 billion, a price-to-earnings ratio of -43.27 and a beta of 2.47. The stock has a 50 day moving average price of $33.75.

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:NBISFree Report) in the 4th quarter, according to its most recent disclosure with the SEC. The fund acquired 343,130 shares of the company’s stock, valued at approximately $9,505,000. Centaurus Financial Inc. owned approximately 0.15% of Nebius Group at the end of the most recent reporting period. Institutional investors own 21.90% of the company’s stock.

About Nebius Group

(Get Free Report)

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.

Further Reading

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