Nebius Group (NASDAQ:NBIS) Earns "Buy" Rating from DA Davidson

Key Points

• Nebius Group's stock has received a "Buy" rating from DA Davidson, with a target price of $75.00, suggesting a potential upside of 17.08% from its previous close.
• Multiple analysts have rated Nebius Group positively, with a consensus rating of "Buy" and an average target price of $72.80.
• The company reported a quarterly loss of ($0.44) EPS, missing analysts' estimates and generating revenue of $47.60 million, significantly below expectations of $95.60 million.

Nebius Group (NASDAQ:NBIS - Get Free Report)'s stock had its "buy" rating reissued by research analysts at DA Davidson in a research report issued on Tuesday,Benzinga reports. They currently have a $75.00 price objective on the stock. DA Davidson's target price would suggest a potential upside of 17.08% from the stock's previous close.

NBIS has been the subject of a number of other reports. BWS Financial boosted their price objective on shares of Nebius Group from $80.00 to $90.00 and gave the stock a "buy" rating in a report on Friday, August 8th. Northland Securities set a $47.00 price objective on shares of Nebius Group and gave the stock an "outperform" rating in a report on Wednesday, May 21st. Wall Street Zen lowered shares of Nebius Group from a "hold" rating to a "sell" rating in a report on Saturday. Arete initiated coverage on shares of Nebius Group in a report on Thursday, June 5th. They issued a "buy" rating and a $84.00 price objective for the company. Finally, Arete Research upgraded shares of Nebius Group to a "strong-buy" rating in a report on Thursday, June 5th. Two analysts have rated the stock with a Strong Buy rating and five have issued a Buy rating to the stock. According to data from MarketBeat.com, Nebius Group presently has a consensus rating of "Buy" and an average target price of $72.80.

Nebius Group Price Performance

NBIS stock opened at $64.06 on Tuesday. The company has a debt-to-equity ratio of 0.31, a current ratio of 14.70 and a quick ratio of 14.70. Nebius Group has a one year low of $14.09 and a one year high of $75.96. The stock has a market cap of $15.10 billion, a PE ratio of -112.39 and a beta of 3.55. The firm has a 50 day simple moving average of $59.19 and a two-hundred day simple moving average of $41.81.

Nebius Group (NASDAQ:NBIS - Get Free Report) last released its quarterly earnings results on Tuesday, September 9th. The company reported ($0.44) EPS for the quarter, missing analysts' consensus estimates of ($0.41) by ($0.03). The business had revenue of $47.60 million for the quarter, compared to analyst estimates of $95.60 million. On average, analysts predict that Nebius Group will post -1.1 EPS for the current fiscal year.

Institutional Trading of Nebius Group

A number of hedge funds and other institutional investors have recently modified their holdings of the business. Orbis Allan Gray Ltd purchased a new stake in Nebius Group during the 1st quarter valued at about $331,474,000. Accel Leaders 4 Associates L.P. purchased a new stake in Nebius Group during the 1st quarter valued at about $96,704,000. Invesco Ltd. purchased a new stake in Nebius Group during the 1st quarter valued at about $73,782,000. Fred Alger Management LLC purchased a new stake in Nebius Group during the 1st quarter valued at about $67,431,000. Finally, Greenwoods Asset Management Hong Kong Ltd. purchased a new stake in Nebius Group during the 1st quarter valued at about $46,822,000. 21.90% of the stock is owned by hedge funds and other institutional investors.

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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