JPMorgan Chase & Co. Boosts Stock Holdings in Nebius Group N.V. $NBIS

Key Points

• JPMorgan Chase increased its stake in Nebius Group by 297.4% in Q2 to 848,336 shares (about $46.9 million), representing roughly 0.36% of the company.
• Several large institutions added new, sizable positions—most notably Orbis Allan Gray (~$331M)—bringing institutional ownership to about 21.9%, while analysts have a consensus Buy rating and an average target of $144.71 (individual targets up to $211).
• Nebius is an AI/cloud infrastructure provider (Nebius AI, Toloka AI) with a market cap of $23.89B, a negative P/E, high volatility (beta 3.29) and a one‑year trading range of $18.31–$141.10.

JPMorgan Chase & Co. grew its stake in shares of Nebius Group N.V. (NASDAQ:NBIS - Free Report) by 297.4% during the second quarter, according to its most recent Form 13F filing with the Securities and Exchange Commission. The fund owned 848,336 shares of the company's stock after buying an additional 634,838 shares during the quarter. JPMorgan Chase & Co. owned 0.36% of Nebius Group worth $46,938,000 at the end of the most recent quarter.

A number of other hedge funds and other institutional investors also recently modified their holdings of the stock. Orbis Allan Gray Ltd bought a new position in Nebius Group during the 1st quarter worth approximately $331,474,000. Accel Leaders 4 Associates L.P. purchased a new stake in shares of Nebius Group during the first quarter valued at approximately $96,704,000. Invesco Ltd. purchased a new stake in shares of Nebius Group during the first quarter valued at approximately $73,782,000. Fred Alger Management LLC bought a new position in shares of Nebius Group in the first quarter worth approximately $67,431,000. Finally, Greenwoods Asset Management Hong Kong Ltd. purchased a new position in shares of Nebius Group in the first quarter worth $46,822,000. Institutional investors own 21.90% of the company's stock.

Nebius Group Stock Performance

Shares of NBIS opened at $94.87 on Monday. The company has a 50-day simple moving average of $110.05 and a two-hundred day simple moving average of $75.82. The company has a debt-to-equity ratio of 0.31, a current ratio of 14.70 and a quick ratio of 14.70. The firm has a market capitalization of $23.89 billion, a PE ratio of -123.20 and a beta of 3.29. Nebius Group N.V. has a one year low of $18.31 and a one year high of $141.10.

Analyst Ratings Changes

Several brokerages have weighed in on NBIS. CICC Research initiated coverage on shares of Nebius Group in a research report on Tuesday, November 11th. They set an "outperform" rating and a $143.00 price target for the company. Citizens Jmp started coverage on shares of Nebius Group in a report on Wednesday, November 19th. They set a "market outperform" rating and a $175.00 target price for the company. Seaport Res Ptn upgraded Nebius Group to a "hold" rating in a report on Monday, September 15th. Weiss Ratings reaffirmed a "hold (c-)" rating on shares of Nebius Group in a research report on Monday, November 24th. Finally, Northland Securities lifted their price objective on Nebius Group from $206.00 to $211.00 and gave the stock an "outperform" rating in a research report on Wednesday, November 12th. Two equities research analysts have rated the stock with a Strong Buy rating, seven have assigned a Buy rating and two have issued a Hold rating to the company's stock. Based on data from MarketBeat.com, Nebius Group has a consensus rating of "Buy" and an average target price of $144.71.

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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