Investment House LLC Has $29.10 Million Stock Position in Nebius Group N.V. $NBIS

Investment House LLC raised its holdings in Nebius Group N.V. (NASDAQ:NBIS) by 8.6% during the third quarter, according to the company in its most recent 13F filing with the SEC. The institutional investor owned 259,235 shares of the company’s stock after purchasing an additional 20,476 shares during the quarter. Nebius Group accounts for approximately 1.4% of Investment House LLC’s investment portfolio, making the stock its 20th biggest position. Investment House LLC owned about 0.11% of Nebius Group worth $29,104,000 at the end of the most recent quarter.

Several other hedge funds and other institutional investors also recently modified their holdings of NBIS. SOA Wealth Advisors LLC. lifted its position in shares of Nebius Group by 38.5% during the 3rd quarter. SOA Wealth Advisors LLC. now owns 450 shares of the company’s stock worth $51,000 after buying an additional 125 shares during the last quarter. Lodestar Private Asset Management LLC grew its position in Nebius Group by 4.7% in the third quarter. Lodestar Private Asset Management LLC now owns 4,838 shares of the company’s stock valued at $543,000 after acquiring an additional 217 shares during the last quarter. PNC Financial Services Group Inc. raised its stake in Nebius Group by 2.5% during the second quarter. PNC Financial Services Group Inc. now owns 9,613 shares of the company’s stock worth $532,000 after acquiring an additional 231 shares in the last quarter. Signaturefd LLC lifted its holdings in shares of Nebius Group by 125.0% in the second quarter. Signaturefd LLC now owns 450 shares of the company’s stock worth $25,000 after acquiring an additional 250 shares during the last quarter. Finally, Assetmark Inc. lifted its holdings in shares of Nebius Group by 102.0% in the second quarter. Assetmark Inc. now owns 602 shares of the company’s stock worth $33,000 after acquiring an additional 304 shares during the last quarter. Institutional investors own 21.90% of the company’s stock.

Analysts Set New Price Targets

A number of equities analysts recently issued reports on NBIS shares. Weiss Ratings cut shares of Nebius Group from a “hold (c-)” rating to a “sell (d+)” rating in a research report on Thursday, January 15th. DA Davidson reaffirmed a “buy” rating and set a $150.00 target price on shares of Nebius Group in a research note on Wednesday, November 12th. BWS Financial reiterated a “buy” rating and set a $130.00 price target on shares of Nebius Group in a report on Thursday, November 13th. Wall Street Zen downgraded Nebius Group from a “hold” rating to a “sell” rating in a report on Saturday, November 15th. Finally, Northland Securities boosted their price objective on Nebius Group from $206.00 to $211.00 and gave the stock an “outperform” rating in a research report on Wednesday, November 12th. One research analyst has rated the stock with a Strong Buy rating, six have issued a Buy rating, one has assigned a Hold rating and one has assigned a Sell rating to the stock. According to MarketBeat.com, the stock presently has a consensus rating of “Moderate Buy” and a consensus price target of $142.38.

Nebius Group Stock Performance

NBIS stock opened at $94.50 on Friday. The company has a fifty day moving average price of $93.40 and a 200-day moving average price of $89.29. The company has a market capitalization of $23.80 billion, a P/E ratio of -122.73 and a beta of 4.00. Nebius Group N.V. has a 52-week low of $18.31 and a 52-week high of $141.10.

Nebius Group 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.