Hyperscale Data, Inc. (GPUS) shares surged 34.05% to $0.1689, gaining $0.0429, as strong buying lifted the stock before a late pullback. The advance followed the company's reaffirmation of its 2027 revenue and earnings targets.

The company plans to begin revenue-generating artificial intelligence operations at its Michigan campus in December 2026. Hyperscale Data expects the initial energization of AI computing capacity at the site to mark an important expansion of its AI data center business.

Hyperscale Data Affirms 2027 Revenue Target of $300 Million to $350 Million

Hyperscale Data maintained its preliminary 2027 revenue forecast of between $300 million and $350 million. The company also reaffirmed its expectation of adjusted earnings before interest, taxes, depreciation, and amortization (EBITDA) of $60 million to $80 million for the year. The projections reflect anticipated growth across the company's operating businesses and its planned infrastructure expansion. Measured against its recent preliminary quarter, the revenue target implies average quarterly revenue of roughly $75 million to $87.5 million in 2027, a considerable step up from the approximately $40 million reported for the third quarter of 2026.

Management based the financial targets on expected customer deployments, financing arrangements, and overall business performance. However, the projections depend on successful development and execution across several of the company's operating divisions. Hyperscale Data also expects its digital asset activities to contribute to its broader financial performance.

Hyperscale Data operates across three main business platforms: data centers, financial services, and portfolio investments. Its Ault Capital Group subsidiary manages lending, digital assets, and several portfolio businesses. The company continues to expand its AI infrastructure operations to support future revenue growth.

Michigan AI Data Center Targets December 2026 Launch

Hyperscale Data expects to energize its first AI computing capacity at its Michigan campus in December 2026. The company plans to begin generating revenue alongside the initial deployment of computing infrastructure. Management has described the milestone as an important step in the growth of its AI data center business. The dated target gives the project a near-term checkpoint at a time when demand for AI computing capacity has driven data center buildouts across the industry, where deployment schedules, contracted customer capacity, and financing are commonly used to gauge execution.

The Michigan project forms part of Hyperscale Data's broader strategy to develop additional computing capacity. The company expects further expansion as customer deployments advance and infrastructure development progresses. It aims to secure the necessary resources and complete its planned development milestones.

Chief Executive Officer William Horne reported progress across the company's businesses ahead of the planned Michigan launch. Management continues to prioritize contracted computing capacity and the financing needed to support infrastructure development. The company expects its expanding operations to strengthen its position in the AI infrastructure market.

Preliminary Third-Quarter Revenue Rises 64%

Hyperscale Data previously reported preliminary third-quarter 2026 revenue of approximately $40 million. That represents a 64% increase from the $24.3 million recorded during the same quarter of 2025. Stronger crane operations, defense activities, lending, and trading supported the increase, with gains spanning multiple operating segments.

The company also benefited from software revenue associated with blockchain network operations. In addition, the reconsolidation of Gresham Worldwide contributed to higher defense revenue during the quarter. However, declining Bitcoin mining revenue partly offset growth across the company's other business segments.

Hyperscale Data has not completed an independent audit or review of the preliminary quarterly figures. Final results may therefore differ as the company completes its financial closing procedures. Meanwhile, management continues to pursue AI infrastructure expansion,ization opportunities, and digital asset operations in support of its 2027 financial targets. Confirmation of the preliminary quarterly figures, visible progress on contracted capacity and financing, and adherence to the December 2026 energization schedule provide the nearest-term markers for tracking the company's stated plan.