DENVER, Colo. (247marketnews.com) — Hyperscale Data (NYSEAMERICAN:GPUS) is doubling down on an ambitious growth story, reaffirming its 2027 guidance of $300 million to $350 million in revenue and $60 million to $80 million in Adjusted EBITDA as it prepares to launch its next phase of AI computing capacity in Michigan.
The immediate catalyst is the company’s expectation that its initial Michigan AI compute capacity will be energized and begin revenue-generating activities in December 2026. If deployments proceed as planned, that milestone could mark a turning point in Hyperscale Data’s push to become a larger player in AI infrastructure.
“We remain focused on delivering contracted capacity, securing the resources needed for development and meeting the milestones that support our outlook,” CEO William B. Horne said. The emphasis on execution is critical: the company’s 2027 targets depend on customer deployments, financing activities, digital asset initiatives and performance across its portfolio businesses.
There is already evidence of improving top-line momentum. Hyperscale Data reported preliminary third-quarter 2026 revenue of approximately $40 million, up about 64% from $24.3 million in the same quarter a year earlier. Growth came from crane operations, defense, lending and trading, and other revenue streams, including software supporting blockchain network operations. Lower Bitcoin mining revenue partially offset those gains.
Executive Chairman Milton “Todd” Ault III argues that the market is undervaluing the company’s platform and points to tokenization, blockchain and digital assets as additional growth opportunities. Hyperscale Data also expects to divest Ault Capital Group in 2027, a potential structural shift that could reshape the company around data centers, high-performance computing, digital assets and robotics.
Important Editorial Note: 247 highlights companies approaching significant catalysts and inflection points. This report reflects information available at the time of publication. Since developments can occur rapidly, readers should independently verify current information and review all company filings and disclosures.