Hyperscale Data Reports Estimated Net Assets of $0.50 per Share and Total Assets of $369 Million

Reuters01-07

<a href="https://laohu8.com/S/GPUS">Hyperscale Data</a> Reports Estimated Net Assets of $0.50 per Share and Total Assets of $369 Million

Hyperscale Data Inc. (NYSE American: GPUS), an artificial intelligence data center company, announced its estimated financial results as of December 31, 2025. The company reported estimated total assets of approximately $369 million, which equates to about $1.14 per share of Class A common stock. Estimated net assets were approximately $168 million, or $0.50 per share. As of December 31, 2025, the value of the company’s cash and Bitcoin holdings was approximately $91 million, representing a significant portion of its total assets. These figures are preliminary, unaudited, and subject to change following customary closing and review procedures. Hyperscale Data stated it will continue providing monthly updates on its estimated total assets and net assets per share.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Hyperscale Data Inc. published the original content used to generate this news brief via PR Newswire (Ref. ID: SF58107) on January 07, 2026, and is solely responsible for the information contained therein.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

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(NYSE American: GPUS), an artificial intelligence data center company, announced its estimated financial results as of December 31, 2025. The company reported estimated total assets of approximately $369 million, which equates to about $1.14 per share of Class A common stock. Estimated net assets were approximately $168 million, or $0.50 per share. As of December 31, 2025, the value of the company’s cash and Bitcoin holdings was approximately $91 million, representing a significant portion of its total assets. These figures are preliminary, unaudited, and subject to change following customary closing and review procedures. Hyperscale Data stated it will continue providing monthly updates on its estimated total assets and net assets per share.\n      </p>\n</div><div xmlns:xsd=\"http://www.w3.org/2001/XMLSchema\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\">\n<p>\n<i>Disclaimer: <span>This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Hyperscale Data Inc. published the original content used to generate this news brief via PR Newswire (Ref. 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(NYSE American: GPUS), an artificial intelligence data center company, announced its estimated financial results as of December 31, 2025. The company reported estimated total assets of approximately $369 million, which equates to about $1.14 per share of Class A common stock. Estimated net assets were approximately $168 million, or $0.50 per share. As of December 31, 2025, the value of the company’s cash and Bitcoin holdings was approximately $91 million, representing a significant portion of its total assets. These figures are preliminary, unaudited, and subject to change following customary closing and review procedures. 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