5,230 Shares in Nebius Group N.V. $NBIS Purchased by Confluence Investment Management LLC

Key Points

• Confluence Investment Management LLC purchased 5,230 shares of Nebius Group N.V. valued at approximately $289,000 in the second quarter.
• Analysts have set a consensus rating of "Buy" on Nebius Group shares, with price targets ranging from $47.00 to $84.00.
• Nebius Group reported quarterly revenue of $105.10 million, exceeding analysts' estimates of $95.60 million, with earnings per share of ($0.38).

Confluence Investment Management LLC acquired a new position in Nebius Group N.V. (NASDAQ:NBIS - Free Report) in the second quarter, according to its most recent filing with the Securities and Exchange Commission (SEC). The firm acquired 5,230 shares of the company's stock, valued at approximately $289,000.

A number of other hedge funds and other institutional investors have also recently added to or reduced their stakes in NBIS. IFP Advisors Inc acquired a new stake in Nebius Group in the first quarter worth about $25,000. First Horizon Advisors Inc. acquired a new position in shares of Nebius Group during the 1st quarter worth about $33,000. Banque Cantonale Vaudoise acquired a new position in shares of Nebius Group during the 1st quarter worth about $33,000. Manchester Capital Management LLC acquired a new position in shares of Nebius Group during the 1st quarter worth about $34,000. Finally, Whipplewood Advisors LLC acquired a new position in shares of Nebius Group during the 1st quarter worth about $36,000. 21.90% of the stock is currently owned by institutional investors and hedge funds.

Analysts Set New Price Targets

Several research firms have recently weighed in on NBIS. The Goldman Sachs Group began coverage on Nebius Group in a report on Monday, July 14th. They set a "buy" rating and a $68.00 price objective on the stock. Arete initiated coverage on Nebius Group in a research note on Thursday, June 5th. They issued a "buy" rating and a $84.00 target price on the stock. Northland Securities set a $47.00 target price on Nebius Group and gave the company an "outperform" rating in a research note on Wednesday, May 21st. Wall Street Zen upgraded Nebius Group from a "sell" rating to a "hold" rating in a research note on Sunday. Finally, DA Davidson restated a "buy" rating and issued a $75.00 target price on shares of Nebius Group in a research note on Tuesday, September 9th. Two equities research analysts have rated the stock with a Strong Buy rating and five have given a Buy rating to the stock. According to data from MarketBeat, the stock currently has a consensus rating of "Buy" and an average price target of $80.80.

Nebius Group Trading Up 1.4%

Shares of Nebius Group stock opened at $90.41 on Monday. Nebius Group N.V. has a 12-month low of $14.09 and a 12-month high of $100.51. The stock has a market cap of $21.31 billion, a P/E ratio of -158.61 and a beta of 3.55. The company has a quick ratio of 14.70, a current ratio of 14.70 and a debt-to-equity ratio of 0.31. The business's 50 day moving average is $62.55 and its 200-day moving average is $43.42.

Nebius Group (NASDAQ:NBIS - Get Free Report) last announced its quarterly earnings data on Thursday, August 7th. The company reported ($0.38) earnings per share (EPS) for the quarter, topping analysts' consensus estimates of ($0.41) by $0.03. The company had revenue of $105.10 million for the quarter, compared to the consensus estimate of $95.60 million. Equities research analysts predict that Nebius Group N.V. will post -1.1 earnings per share for the current fiscal year.

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.

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