Nebius Group (NASDAQ:NBIS) Shares Up 9.8% – Here’s What Happened

Nebius Group N.V. (NASDAQ:NBIS)’s stock price rose 9.8% on Wednesday . The company traded as high as $95.30 and last traded at $95.2770. Approximately 3,409,343 shares were traded during trading, a decline of 74% from the average daily volume of 13,154,926 shares. The stock had previously closed at $86.80.

Wall Street Analysts Forecast Growth

Several brokerages have commented on NBIS. Weiss Ratings cut shares of Nebius Group from a “hold (c-)” rating to a “sell (d+)” rating in a research note on Thursday, January 15th. BWS Financial reiterated a “buy” rating and issued a $130.00 target price on shares of Nebius Group in a research report on Tuesday, February 17th. Morgan Stanley started coverage on Nebius Group in a research note on Thursday, January 15th. They set an “equal weight” rating and a $126.00 price target for the company. Citizens Jmp began coverage on Nebius Group in a report on Wednesday, November 19th. They set a “market outperform” rating and a $175.00 price objective on the stock. Finally, Wall Street Zen downgraded Nebius Group from a “hold” rating to a “sell” rating in a research report on Saturday, November 15th. Two equities research analysts have rated the stock with a Strong Buy rating, seven have given a Buy rating, one has assigned a Hold rating and one has given a Sell rating to the company. According to MarketBeat, Nebius Group has an average rating of “Moderate Buy” and an average target price of $143.22.

Nebius Group Stock Performance

The stock has a market capitalization of $24.39 billion, a PE ratio of -66.32 and a beta of 4.02. The business’s 50 day moving average is $94.92 and its 200 day moving average is $96.69. The company has a current ratio of 3.08, a quick ratio of 6.57 and a debt-to-equity ratio of 0.89.

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

Institutional Trading of Nebius Group

A number of hedge funds and other institutional investors have recently bought and sold shares of the business. Parkside Financial Bank & Trust bought a new position in shares of Nebius Group in the fourth quarter worth about $25,000. Root Financial Partners LLC bought a new position in Nebius Group in the 4th quarter worth about $26,000. SHP Wealth Management purchased a new position in shares of Nebius Group during the fourth quarter worth approximately $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 acquiring an additional 141 shares during the period. Finally, Armstrong Advisory Group Inc. raised its stake in shares of Nebius Group by 500.0% during the fourth quarter. Armstrong Advisory Group Inc. now owns 360 shares of the company’s stock valued at $30,000 after acquiring an additional 300 shares in the last quarter. Hedge funds and other institutional investors own 21.90% of the company’s stock.

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.