Nebius Group N.V. (NASDAQ:NBIS – Get Free Report) was the target of unusually large options trading on Monday. Investors acquired 73,396 call options on the company. This represents an increase of 35% compared to the typical daily volume of 54,502 call options.
Hedge Funds Weigh In On Nebius Group
A number of institutional investors and hedge funds have recently added to or reduced their stakes in the company. Public Sector Pension Investment Board bought a new position in Nebius Group during the 1st quarter valued at $5,914,000. Eagle Global Advisors LLC bought a new stake in shares of Nebius Group during the 1st quarter worth $4,709,000. Burkehill Global Management LP bought a new stake in shares of Nebius Group during the 1st quarter worth $18,476,000. Zevenbergen Capital Investments LLC bought a new stake in shares of Nebius Group during the 1st quarter worth $1,331,000. Finally, Invesco Ltd. bought a new stake in shares of Nebius Group during the 1st quarter worth $73,782,000. 21.90% of the stock is owned by institutional investors.
Nebius Group Stock Performance
Shares of NASDAQ NBIS opened at $33.34 on Tuesday. The stock has a fifty day moving average price of $24.42 and a two-hundred day moving average price of $28.22. The firm has a market cap of $7.85 billion, a P/E ratio of -58.49 and a beta of 3.11. Nebius Group has a 1 year low of $14.09 and a 1 year high of $50.87.
Analysts Set New Price Targets
Check Out Our Latest Report on Nebius Group
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.
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