Nebius Group (NASDAQ:NBIS) Shares Gap Up – Still a Buy?

Nebius Group N.V. (NASDAQ:NBIS) shares gapped up before the market opened 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.

Wall Street Analyst Weigh In

NBIS has been the subject of a number of research reports. DA Davidson began coverage on shares of 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 reissued a “buy” rating and set a $60.00 price objective on shares of Nebius Group in a research report on Tuesday, March 4th.

Nebius Group Trading Up 3.9 %

The company’s fifty day moving average price is $32.94. The company has a market capitalization of $5.17 billion, a price-to-earnings ratio of -38.23 and a beta of 2.47.

Institutional Trading of Nebius Group

A hedge fund recently bought a new stake in Nebius Group stock. Centaurus Financial Inc. acquired a new stake in shares of Nebius Group N.V. (NASDAQ:NBIS) in the fourth 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 about 0.15% of Nebius Group as of its most recent filing with the Securities & Exchange Commission. 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.