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

Nebius Group N.V. (NASDAQ:NBIS)’s stock price gapped up prior to trading on Tuesday . The stock had previously closed at $21.11, but opened at $21.66. Nebius Group shares last traded at $20.98, with a volume of 2,358,341 shares trading hands.

Analysts Set New Price Targets

Several research firms have weighed in on NBIS. DA Davidson began coverage on Nebius Group in a research note on Tuesday, February 25th. They set a “buy” rating and a $50.00 target price for the company. BWS Financial reaffirmed a “buy” rating and issued a $60.00 price objective on shares of Nebius Group in a research note on Tuesday, March 4th.

Nebius Group Price Performance

The business’s 50-day simple moving average is $32.34 and its two-hundred day simple moving average is $27.40. The stock has a market cap of $5.76 billion, a price-to-earnings ratio of -42.89 and a beta of 2.47.

Hedge Funds Weigh In On Nebius Group

An institutional investor recently bought a new position 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 disclosure with the Securities & Exchange Commission. The institutional investor acquired 343,130 shares of the company’s stock, valued at approximately $9,505,000. Centaurus Financial Inc. owned 0.15% of Nebius Group at the end of the most recent reporting period. 21.90% of the stock is owned by institutional investors and hedge funds.

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.