Centaurus Financial Inc. Invests $9.51 Million in Nebius Group N.V. (NASDAQ:NBIS)

Centaurus Financial Inc. acquired a new stake in Nebius Group N.V. (NASDAQ:NBIS - Free Report) during the fourth quarter, according to its most recent 13F 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 0.15% of Nebius Group as of its most recent filing with the SEC.

Nebius Group Price Performance

Shares of NBIS traded down $1.36 during midday trading on Friday, hitting $36.68. 8,089,003 shares of the company traded hands, compared to its average volume of 10,505,140. The stock has a 50-day moving average of $27.20 and a 200-day moving average of $29.63. Nebius Group N.V. has a one year low of $14.09 and a one year high of $50.87. The firm has a market cap of $8.65 billion, a P/E ratio of -64.35 and a beta of 3.11.

Wall Street Analysts Forecast Growth

NBIS has been the topic of a number of research reports. DA Davidson set a $45.00 price objective on Nebius Group and gave the company a "buy" rating in a research note on Monday, May 19th. Northland Securities set a $47.00 price objective on Nebius Group and gave the company an "outperform" rating in a research note on Wednesday, May 21st. Northland Capmk upgraded Nebius Group to a "strong-buy" rating in a research report on Tuesday, May 6th. Finally, BWS Financial reiterated a "buy" rating and set a $60.00 price target on shares of Nebius Group in a research report on Wednesday, May 21st.

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.