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Nebius Group (NASDAQ:NBIS) Shares Gap Up - What's Next?

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Nebius Group N.V. (NASDAQ:NBIS - Get Free Report) gapped up prior to trading on Tuesday . The stock had previously closed at $21.11, but opened at $21.66. Nebius Group shares last traded at $20.98, with a volume of 2,358,341 shares trading hands.

Wall Street Analysts Forecast Growth

Several research firms recently weighed in on NBIS. BWS Financial restated a "buy" rating and set a $60.00 price target on shares of Nebius Group in a report on Tuesday, March 4th. DA Davidson initiated coverage on Nebius Group in a research note on Tuesday, February 25th. They issued a "buy" rating and a $50.00 target price on the stock.

Read Our Latest Analysis on Nebius Group

Nebius Group Price Performance

The firm has a market cap of $4.69 billion, a PE ratio of -34.83 and a beta of 2.47. The business's fifty day moving average is $32.00 and its 200-day moving average is $27.36.

Institutional Trading of Nebius Group

A hedge fund recently bought a new stake in Nebius Group stock. Centaurus Financial Inc. bought a new position in Nebius Group N.V. (NASDAQ:NBIS - Free Report) in the 4th quarter, according to the company in its most recent 13F filing with the SEC. The firm bought 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 own 21.90% of the company's stock.

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Nebius Group Company Profile

(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.

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