Nebius Group (NASDAQ:NBIS) Shares Up 3.5% – Here’s Why

Nebius Group N.V. (NASDAQ:NBIS)’s share price shot up 3.5% during mid-day trading on Wednesday . The stock traded as high as $107.44 and last traded at $106.12. 8,362,112 shares were traded during mid-day trading, a decline of 38% from the average session volume of 13,436,366 shares. The stock had previously closed at $102.58.

Analyst Ratings Changes

A number of brokerages have recently commented on NBIS. Morgan Stanley initiated coverage on shares of Nebius Group in a research report on Thursday, January 15th. They set an “equal weight” rating and a $126.00 target price on the stock. DA Davidson reissued a “buy” rating and issued a $150.00 price objective on shares of Nebius Group in a research note on Wednesday, November 12th. Compass Point assumed coverage on Nebius Group in a research report on Wednesday, February 18th. They set a “buy” rating and a $150.00 target price for the company. Citizens Jmp started coverage on Nebius Group in a research report on Wednesday, November 19th. They set a “market outperform” rating and a $175.00 price target on the stock. Finally, CICC Research assumed coverage on Nebius Group in a research note on Tuesday, November 11th. They set an “outperform” rating and a $143.00 price target on the stock. Two research analysts have rated the stock with a Strong Buy rating, seven have issued a Buy rating, one has assigned a Hold rating and one has assigned a Sell rating to the stock. Based on data from MarketBeat, the company presently has an average rating of “Moderate Buy” and an average target price of $143.22.

Nebius Group Stock Performance

The company has a debt-to-equity ratio of 0.89, a current ratio of 3.08 and a quick ratio of 6.57. The company has a market cap of $26.72 billion, a PE ratio of -72.68 and a beta of 3.91. The business has a fifty day simple moving average of $93.85 and a two-hundred day simple moving average of $95.82.

Nebius Group (NASDAQ:NBIS) last announced its quarterly earnings results on Thursday, February 12th. The company reported ($0.69) earnings per share (EPS) for the quarter, missing analysts’ consensus estimates of ($0.42) by ($0.27). Nebius Group had a net margin of 19.02% and a negative return on equity of 11.70%. The company had revenue of $227.70 million during the quarter, compared to analysts’ expectations of $246.05 million. Research analysts anticipate that Nebius Group N.V. will post -1.1 earnings per share for the current year.

Institutional Trading of Nebius Group

A number of institutional investors have recently modified their holdings of NBIS. Parkside Financial Bank & Trust purchased a new stake in Nebius Group during the fourth quarter valued at approximately $25,000. Root Financial Partners LLC purchased a new position in Nebius Group in the fourth quarter worth $26,000. Blue Trust Inc. increased its position in shares of Nebius Group by 73.8% during the fourth quarter. Blue Trust Inc. now owns 332 shares of the company’s stock worth $28,000 after purchasing an additional 141 shares in the last quarter. Armstrong Advisory Group Inc. lifted its holdings in shares of Nebius Group by 500.0% during the 4th quarter. Armstrong Advisory Group Inc. now owns 360 shares of the company’s stock valued at $30,000 after purchasing an additional 300 shares during the last quarter. Finally, Western Pacific Wealth Management LP acquired a new stake in shares of Nebius Group in the 3rd quarter worth $45,000. 21.90% of the stock is currently owned by institutional investors.

About Nebius Group

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.