Nebius Group (NASDAQ:NBIS) Stock Rating Upgraded by Wall Street Zen

Key Points

• Nebius Group has received a rating upgrade from Wall Street Zen, moving from a "sell" to a "hold" rating.
• Analysts have a consensus rating of "Buy" for Nebius Group, with an average target price of $70.80.
• The company's recent financial results showed a loss of ($0.44) EPS, missing analysts' expectations and generating $47.60 million in revenue for the quarter.

Wall Street Zen upgraded shares of Nebius Group (NASDAQ:NBIS - Free Report) from a sell rating to a hold rating in a research report report published on Monday.

Other equities analysts also recently issued reports about the company. Arete Research upgraded Nebius Group to a "strong-buy" rating in a report on Thursday, June 5th. DA Davidson increased their target price on Nebius Group from $55.00 to $65.00 and gave the company a "buy" rating in a research note on Tuesday, August 5th. BWS Financial increased their price objective on shares of Nebius Group from $80.00 to $90.00 and gave the company a "buy" rating in a research report on Friday, August 8th. The Goldman Sachs Group started coverage on shares of Nebius Group in a research note on Monday, July 14th. They set a "buy" rating and a $68.00 price target on the stock. Finally, Arete started coverage on Nebius Group in a research note on Thursday, June 5th. They set a "buy" rating and a $84.00 target price for the company. Two analysts have rated the stock with a Strong Buy rating and five have issued a Buy rating to the company's stock. Based on data from MarketBeat, the company currently has an average rating of "Buy" and an average target price of $70.80.

Nebius Group Trading Down 0.4%

Shares of Nebius Group stock traded down $0.29 during mid-day trading on Monday, hitting $70.19. 4,679,712 shares of the stock were exchanged, compared to its average volume of 12,807,832. The stock has a market capitalization of $16.55 billion, a price-to-earnings ratio of -123.31 and a beta of 3.36. Nebius Group has a twelve month low of $14.09 and a twelve month high of $75.96. The company has a current ratio of 14.70, a quick ratio of 14.70 and a debt-to-equity ratio of 0.31. The company has a 50-day simple moving average of $56.12 and a 200 day simple moving average of $40.32.

Nebius Group (NASDAQ:NBIS - Get Free Report) last announced its earnings results on Tuesday, September 2nd. The company reported ($0.44) earnings per share (EPS) for the quarter, missing analysts' consensus estimates of ($0.41) by ($0.03). The company had revenue of $47.60 million for the quarter, compared to analysts' expectations of $95.60 million. Research analysts forecast that Nebius Group will post -1.1 EPS for the current year.

Institutional Investors Weigh In On Nebius Group

A number of institutional investors have recently added to or reduced their stakes in the company. PFG Investments LLC bought a new stake in shares of Nebius Group during the 1st quarter worth $860,000. SeaCrest Wealth Management LLC purchased a new stake in Nebius Group during the first quarter valued at about $453,000. DekaBank Deutsche Girozentrale acquired a new position in shares of Nebius Group in the first quarter worth about $8,519,000. Colonial River Investments LLC purchased a new position in shares of Nebius Group in the first quarter worth approximately $330,000. Finally, Vontobel Holding Ltd. purchased a new position in shares of Nebius Group in the first quarter worth approximately $937,000. 21.90% of the stock is currently owned by institutional investors and hedge funds.

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.