Logotype for Corvex Inc

Corvex (MOVE) Q2 2026 earnings summary

Event summary combining transcript, slides, and related documents.

Logotype for Corvex Inc

Q2 2026 earnings summary

14 Aug, 2026

Executive summary

  • Completed merger with Corvex Legacy Holdings/OpCo on March 19, 2026, marking the first full quarter including the AI cloud computing business and exit from legacy healthcare assets as of June 30, 2026.

  • AI platform specializes in GPU-accelerated infrastructure, offering AI factories, Token Factory (inference platform), and confidential computing, with early-stage commercialization and ongoing infrastructure expansion.

  • Revenue for Q2 2026 was $3.8 million, all from the AI platform and services, under fixed-term contracts.

  • Contracted annualized recurring revenue (ARR) on live compute reached approximately $22 million as of August 2026.

  • Significant leadership appointments and board expansions were made to strengthen operational and governance capabilities.

Financial highlights

  • Q2 2026 revenue: $3.8 million; six-month revenue: $4.3 million (from March 19 to June 30).

  • Net loss for Q2: $12.8 million; net loss attributable to common stockholders: $12.8 million; six-month net loss: $17.8 million.

  • Adjusted EBITDA for Q2: -$3.2 million; for six months: -$4.8 million; AI platform and services contributed -$2.3 million for Q2.

  • Stock-based compensation expense was $9.7 million for Q2 2026, $11.9 million for the six months.

  • Ended quarter with $21.7 million in cash and cash equivalents.

Outlook and guidance

  • Focus on expanding contracted power and compute capacity to meet growing demand and scaling Token Factory.

  • Management expects continued net losses as investments in AI infrastructure and personnel continue.

  • Existing cash is expected to fund operations for at least the next twelve months; additional capital may be sought for future growth.

  • Key metrics for future reporting: contracted power, contracted ARR on live compute, and capacity brought into service.

  • Ongoing investments in automation and reliability to accelerate AI innovation.

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