Nebius Group N.V. (NASDAQ:NBIS - Get Free Report) was up 3.1% on Wednesday . The stock traded as high as $24.47 and last traded at $23.39. Approximately 7,824,059 shares were traded during mid-day trading, a decline of 27% from the average daily volume of 10,711,047 shares. The stock had previously closed at $22.69.
Analyst Ratings Changes
A number of equities analysts recently issued reports on the company. BWS Financial restated a "buy" rating and set a $60.00 price objective on shares of Nebius Group in a 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 target price for the company.
Check Out Our Latest Stock Report on NBIS
Nebius Group Price Performance
The stock's 50-day moving average price is $31.57 and its 200 day moving average price is $27.32. The firm has a market capitalization of $4.78 billion, a PE ratio of -35.60 and a beta of 2.54.
Institutional Inflows and Outflows
An institutional investor recently bought a new position in Nebius Group stock. Centaurus Financial Inc. purchased a new stake in shares of Nebius Group N.V. (NASDAQ:NBIS - Free Report) during the 4th quarter, according to the company in its most recent 13F filing with the Securities & Exchange Commission. The firm purchased 343,130 shares of the company's stock, valued at approximately $9,505,000. Centaurus Financial Inc. owned 0.15% of Nebius Group at the end of the most recent quarter. Institutional investors and hedge funds own 21.90% of the company's stock.
Nebius Group Company Profile
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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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