Hyperscale Data Reaffirms 2026 Revenue Guidance of $180 Million to $200 Million and Plans to Hold a Stockholder Conference Call in the Third Quarter to Discuss Ault Capital Group Divestiture and Long-Term Growth Strategy

· Source: The AI Journal · Field: Finance & Economics — Capital Markets & Investment Management, Corporate Finance & Treasury · Depth: Fundamental Awareness, medium

Summary

Hyperscale Data, Inc. (NYSE American: GPUS), an AI data center company, reaffirmed its fiscal 2026 revenue guidance of \$180 million to \$200 million. The company also announced a third-quarter 2026 stockholder conference call to detail the planned divestiture of its wholly owned subsidiary, Ault Capital Group, Inc. (ACG), and its long-term growth strategy. This reaffirmation follows a recently announced master services agreement (MSA) with an initial 10-year term, potentially extending to 20 years, for approximately 20 megawatts of AI compute capacity. This MSA is expected to generate over \$1.2 billion in revenue, with a potential to exceed \$3.0 billion if an additional 32 MW capacity option is exercised. The divestiture of ACG, anticipated in the second quarter of 2027, will position Hyperscale Data to focus solely on high-performance computing data centers and digital assets, while ACG will operate as a hybrid private equity firm.

Key takeaway

For investors evaluating Hyperscale Data (GPUS), the reaffirmed 2026 revenue guidance and the substantial master services agreement signal a clearer, more focused future. You should monitor the Q3 2026 conference call for details on the Ault Capital Group divestiture, as this separation aims to enhance Hyperscale Data's specialization in high-performance computing and AI infrastructure, potentially improving long-term cash flow and revenue expansion beyond current projections.

Key insights

Hyperscale Data is strategically divesting Ault Capital Group to sharpen its focus on AI data centers and high-performance computing, backed by significant long-term service agreements.

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.