Nebius Group (NASDAQ:NBIS) Trading Down 3.9% – What’s Next?

Nebius Group N.V. (NASDAQ:NBIS) dropped 3.9% on Monday . The company traded as low as $27.10 and last traded at $27.63. Approximately 3,983,669 shares were traded during trading, a decline of 62% from the average daily volume of 10,368,857 shares. The stock had previously closed at $28.75.

Wall Street Analyst Weigh In

NBIS has been the topic of a number of recent analyst reports. DA Davidson began coverage on Nebius Group in a report on Tuesday, February 25th. They set a “buy” rating and a $50.00 target price on the stock. BWS Financial restated a “buy” rating and set a $60.00 target price on shares of Nebius Group in a research note on Tuesday, March 4th.

Nebius Group Stock Performance

The firm has a market capitalization of $6.65 billion, a P/E ratio of -49.62 and a beta of 2.47. The firm has a 50 day simple moving average of $34.78.

Institutional Inflows and Outflows

A hedge fund recently bought a new stake in Nebius Group stock. Centaurus Financial Inc. acquired a new stake in Nebius Group N.V. (NASDAQ:NBIS) in the 4th quarter, according to the company in its most recent filing with the SEC. The fund acquired 343,130 shares of the company’s stock, valued at approximately $9,505,000. Centaurus Financial Inc. owned approximately 0.15% of Nebius Group as of its most recent SEC filing. 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.