Vontobel Holding Ltd. decreased its holdings in Nebius Group N.V. (NASDAQ:NBIS – Free Report) by 19.6% in the 2nd quarter, according to its most recent 13F filing with the Securities and Exchange Commission (SEC). The firm owned 35,666 shares of the company’s stock after selling 8,704 shares during the quarter. Vontobel Holding Ltd.’s holdings in Nebius Group were worth $1,973,000 at the end of the most recent quarter.
Several other hedge funds and other institutional investors also recently added to or reduced their stakes in the business. Signaturefd LLC grew its holdings in Nebius Group by 125.0% in the 2nd quarter. Signaturefd LLC now owns 450 shares of the company’s stock valued at $25,000 after buying an additional 250 shares during the period. Farther Finance Advisors LLC lifted its stake in shares of Nebius Group by 4.9% in the 2nd quarter. Farther Finance Advisors LLC now owns 7,005 shares of the company’s stock valued at $388,000 after purchasing an additional 326 shares in the last quarter. SJS Investment Consulting Inc. acquired a new position in shares of Nebius Group in the 2nd quarter valued at about $31,000. ORG Partners LLC lifted its stake in shares of Nebius Group by 369.1% in the 2nd quarter. ORG Partners LLC now owns 760 shares of the company’s stock valued at $39,000 after purchasing an additional 598 shares in the last quarter. Finally, Oliver Lagore Vanvalin Investment Group acquired a new position in shares of Nebius Group in the 2nd quarter valued at about $40,000. Hedge funds and other institutional investors own 21.90% of the company’s stock.
Analyst Ratings Changes
Several equities analysts have recently weighed in on the company. Weiss Ratings reaffirmed a “hold (c+)” rating on shares of Nebius Group in a research note on Saturday, September 27th. Seaport Res Ptn raised Nebius Group to a “hold” rating in a research note on Monday, September 15th. The Goldman Sachs Group reaffirmed a “buy” rating and issued a $120.00 price objective on shares of Nebius Group in a research note on Wednesday, September 17th. BWS Financial boosted their price target on Nebius Group from $90.00 to $130.00 and gave the stock a “buy” rating in a research report on Tuesday, September 9th. Finally, DA Davidson reissued a “buy” rating and set a $75.00 price target on shares of Nebius Group in a research report on Tuesday, September 9th. Two analysts have rated the stock with a Strong Buy rating, five have assigned a Buy rating and two have issued a Hold rating to the company. Based on data from MarketBeat, the stock has a consensus rating of “Buy” and a consensus price target of $91.20.
Nebius Group Stock Performance
Shares of NBIS opened at $129.58 on Friday. The business’s 50 day moving average is $86.82 and its two-hundred day moving average is $54.95. Nebius Group N.V. has a 52-week low of $14.09 and a 52-week high of $141.10. The firm has a market cap of $30.55 billion, a price-to-earnings ratio of -227.33 and a beta of 3.45. The company has a quick ratio of 14.70, a current ratio of 14.70 and a debt-to-equity ratio of 0.31.
Nebius Group (NASDAQ:NBIS – Get Free Report) last announced its earnings results on Thursday, August 7th. The company reported ($0.38) earnings per share (EPS) for the quarter, beating analysts’ consensus estimates of ($0.41) by $0.03. Nebius Group had a return on equity of 6.14% and a net margin of 99.34%.The company had revenue of $105.10 million for the quarter, compared to analyst estimates of $95.60 million. Analysts forecast that Nebius Group N.V. will post -1.1 EPS for the current fiscal year.
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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