Shares of Nebius Group N.V. (NASDAQ:NBIS - Get Free Report) traded up 5.4% during mid-day trading on Wednesday . The company traded as high as $27.49 and last traded at $27.07. 3,470,444 shares were traded during mid-day trading, a decline of 66% from the average session volume of 10,336,064 shares. The stock had previously closed at $25.67.
Wall Street Analysts Forecast Growth
NBIS has been the subject of several research analyst reports. DA Davidson assumed coverage on Nebius Group in a research note on Tuesday, February 25th. They set a "buy" rating and a $50.00 price objective for the company. BWS Financial reiterated a "buy" rating and set a $60.00 price target on shares of Nebius Group in a research report on Tuesday, March 4th.
Check Out Our Latest Stock Report on NBIS
Nebius Group Trading Up 8.2 %
The company has a market capitalization of $6.87 billion, a PE ratio of -51.21 and a beta of 2.47. The company has a fifty day simple moving average of $34.19.
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 - Free Report) during the 4th quarter, according to its most recent filing with the SEC. The institutional investor 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 quarter. 21.90% of the stock is owned by hedge funds and other institutional investors.
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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