Nebius Group (NASDAQ:NBIS) Earns Buy Rating from Analysts at Bank of America

Investment analysts at Bank of America initiated coverage on shares of Nebius Group (NASDAQ:NBIS) in a research report issued on Tuesday,Benzinga reports. The brokerage set a “buy” rating and a $150.00 price target on the stock. Bank of America‘s price target points to a potential upside of 31.41% from the company’s current price.

Several other research analysts have also commented on the company. DA Davidson boosted their price target on Nebius Group from $150.00 to $200.00 and gave the stock a “buy” rating in a research report on Monday, March 16th. Freedom Capital raised Nebius Group to a “strong-buy” rating in a research report on Tuesday, February 3rd. Compass Point assumed coverage on Nebius Group in a research note on Wednesday, February 18th. They issued a “buy” rating and a $150.00 target price on the stock. Morgan Stanley started coverage on shares of Nebius Group in a report on Thursday, January 15th. They issued an “equal weight” rating and a $126.00 target price for the company. Finally, Weiss Ratings lowered shares of Nebius Group from a “hold (c-)” rating to a “sell (d+)” rating in a research report on Thursday, January 15th. Two investment analysts have rated the stock with a Strong Buy rating, nine have issued a Buy rating, one has assigned a Hold rating and one has given a Sell rating to the company. According to data from MarketBeat.com, the company currently has an average rating of “Moderate Buy” and an average target price of $157.09.

Nebius Group Price Performance

NASDAQ NBIS opened at $114.15 on Tuesday. The company has a market cap of $28.74 billion, a PE ratio of -78.18 and a beta of 4.02. The firm’s 50 day moving average price is $99.62 and its 200-day moving average price is $100.68. The company has a debt-to-equity ratio of 0.89, a quick ratio of 6.57 and a current ratio of 3.08. Nebius Group has a 52-week low of $18.31 and a 52-week high of $141.10.

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

Institutional Inflows and Outflows

Institutional investors and hedge funds have recently added to or reduced their stakes in the business. Parkside Financial Bank & Trust purchased a new stake in Nebius Group in the fourth quarter valued at about $25,000. SHP Wealth Management purchased a new position in shares of Nebius Group in the 4th quarter valued at approximately $26,000. Root Financial Partners LLC acquired a new stake in Nebius Group in the 4th quarter worth approximately $26,000. Blue Trust Inc. grew its position in Nebius Group by 73.8% during the 4th quarter. Blue Trust Inc. now owns 332 shares of the company’s stock worth $28,000 after purchasing an additional 141 shares during the last quarter. Finally, Armstrong Advisory Group Inc. increased its stake in 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 in the last quarter. 21.90% of the stock is currently 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.