Dakota Wealth Management Acquires Shares of 6,409 Nebius Group N.V. $NBIS

Dakota Wealth Management bought a new position in shares of Nebius Group N.V. (NASDAQ:NBIS) during the third quarter, according to its most recent filing with the Securities & Exchange Commission. The institutional investor bought 6,409 shares of the company’s stock, valued at approximately $720,000.

Other hedge funds have also modified their holdings of the company. Insight Advisors LLC PA acquired a new position in Nebius Group in the third quarter valued at approximately $230,000. Clearstead Advisors LLC raised its position in shares of Nebius Group by 5.3% during the 3rd quarter. Clearstead Advisors LLC now owns 5,251 shares of the company’s stock valued at $590,000 after acquiring an additional 265 shares during the last quarter. OneDigital Investment Advisors LLC lifted its stake in shares of Nebius Group by 13.3% in the 3rd quarter. OneDigital Investment Advisors LLC now owns 5,930 shares of the company’s stock valued at $666,000 after purchasing an additional 696 shares during the period. Princeton Capital Management LLC acquired a new position in shares of Nebius Group in the 3rd quarter valued at $217,000. Finally, Darden Wealth Group Inc bought a new position in shares of Nebius Group in the 3rd quarter worth $351,000. 21.90% of the stock is owned by institutional investors.

Nebius Group Stock Down 1.2%

Nebius Group stock opened at $104.88 on Friday. The company has a 50 day moving average of $95.00 and a 200-day moving average of $95.95. The company has a quick ratio of 6.57, a current ratio of 3.08 and a debt-to-equity ratio of 0.89. Nebius Group N.V. has a twelve month low of $18.31 and a twelve month high of $141.10. The stock has a market capitalization of $26.41 billion, a PE ratio of -71.84 and a beta of 3.90.

Nebius Group (NASDAQ:NBIS) last posted its quarterly earnings data on Thursday, February 12th. The company reported ($0.69) EPS for the quarter, missing the consensus estimate of ($0.42) by ($0.27). The company had revenue of $227.70 million during the quarter, compared to the consensus estimate of $246.05 million. Nebius Group had a net margin of 19.02% and a negative return on equity of 11.70%. On average, equities research analysts anticipate that Nebius Group N.V. will post -1.1 EPS for the current fiscal year.

Analysts Set New Price Targets

A number of equities research analysts recently commented on the company. Citizens Jmp started coverage on Nebius Group in a report on Wednesday, November 19th. They issued a “market outperform” rating and a $175.00 price objective for the company. Compass Point assumed coverage on shares of Nebius Group in a research report on Wednesday, February 18th. They issued a “buy” rating and a $150.00 price target on the stock. Weiss Ratings lowered shares of Nebius Group from a “hold (c-)” rating to a “sell (d+)” rating in a research note on Thursday, January 15th. BWS Financial reaffirmed a “buy” rating and issued a $130.00 target price on shares of Nebius Group in a research note on Tuesday, February 17th. Finally, DA Davidson reiterated a “buy” rating and issued a $150.00 target price on shares of Nebius Group in a report on Wednesday, November 12th. Two analysts have rated the stock with a Strong Buy rating, seven have assigned a Buy rating, one has given a Hold rating and one has given a Sell rating to the company. According to MarketBeat, the company has an average rating of “Moderate Buy” and an average price target of $143.22.

Nebius Group 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.