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Core Scientific bills CoreWeave for 485 MW of 590 MW contract in Q3 2026

Core Scientific was billing CoreWeave for 485 of 590 contracted MW at end-September 2026, up from 120 MW at the start of the year, as Q3 colocation revenue rose nearly 60% to $215 million, it said on 5 November.

AI & modelsAnalysisGrace OkonkwoPublished: 7 November 20264 min readSources 22
Core Scientific bills CoreWeave for 485 MW of 590 MW contract in Q3 2026

The 485 MW represented about 82% of the 590 MW contract. Third-quarter GAAP colocation revenue rose nearly 60% from the second quarter to $215 million, and adjusted EBITDA more than tripled to $134 million from $41 million, chief financial officer Jim Nygaard said. The adjusted EBITDA margin widened to 57% from 25%.

Nygaard credited 90 MW of new capacity entering billing during the quarter and a full quarter of contributions from capacity delivered in the second quarter. He expects a double-digit sequential rise in fourth-quarter revenue as more capacity enters billing. The remaining roughly 100 MW under the 590 MW agreement is expected to be delivered by early 2027, chief executive Adam Sullivan said.

CoreWeave contract revenue is recognized on a straight-line basis over the 12-year lease terms, which pulls contractual escalators forward, Nygaard said.

AMD build-out

Core Scientific's initial 530 MW agreement with AMD remains on schedule, with first delivery expected in the first half of 2027 at Pecos, Texas. About half of that capacity is due online in 2027 and the balance through 2028, Sullivan said. The company has already invested its required equity contribution for that phase and is working to secure the remaining project financing. AMD also holds exclusive reservation rights over roughly 1.9 GW of additional capacity that is not yet contracted; most commitment deadlines fall in 2027, with a final deadline at the end of 2028.

The company estimates build costs for the current AMD leases at $11 million to $12 million per megawatt. Once the roughly 1.1 GW contracted across CoreWeave and AMD is fully delivered and billing, Core Scientific expects it to generate $1.8 billion in average annual run-rate revenue and $1.6 billion in net operating income, Sullivan said.

Project bonds remain the expected financing route for the AMD projects, though the company is evaluating other debt options. Nygaard said Core Scientific does not expect to issue additional equity or equity-linked securities to fund the first phase. Lenders and investors have sought more comprehensive diligence on project details, but the company has not seen changes in financing terms or covenants, he said.

Liquidity and mining exit

Core Scientific ended the quarter with about $1.7 billion in liquidity: $800 million in cash, $840 million in restricted cash and debt service reserves, and $100 million of revolver availability. That was down about $1 billion from the second quarter, reflecting $540 million of capital expenditure and roughly $440 million for the Polaris acquisition.

Nygaard said the company expects about $650 million in cash proceeds from the exercise of Tranche 1 warrants around their January 2027 expiration. The priority for that capital is to support proactive builds and serve as equity for additional sites, he said.

Both Texas sites have secured stormwater permits, and Core Scientific is still working through air permits for backup generators, which it expects to qualify under a permit-by-rule framework, Sullivan said. Pecos remains on schedule for initial delivery in the first half of 2027, while the Hunt campus has been included in an upcoming grid stability assessment, he said.

Core Scientific continued to wind down Bitcoin mining in the quarter and expects to complete the exit in the fourth quarter, entering 2027 as a pure-play high-density colocation provider, Nygaard said.

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Sources

22
  1. 01What Core Scientific (CORZ) Said on Its Q3 Earnings CallEN
  2. 02[Core Scientific Q3 2026 Earnings Call] Colocation Revenue Jumps 60% to $215M, Adjusted EBITDA Triples to $134M as CoreWeave Capacity Hits 485 MWEN
  3. 03CoreWeave's AI Data Center Capacity Is Exploding - Its $35 Billion Debt Load Still Makes the Stock UntouchableEN
  4. 04CoreWeave expansion outlook draws bullish call despite debt concernsEN
  5. 05Meta commits to spending additional $21 billion with CoreWeave as AI costs keep risingEN
  6. 06Why Is Meta Spending $21 Billion on CoreWeave Instead of Its Own US Data Centers?EN
  7. 07CoreWeave, Inc. (CRWV) Stock: Sinks as Democratic Election Wins Spark AI Infrastructure FearsEN
  8. 08CoreWeave Bond Market Squeeze Puts AI Expansion Financing Under ScrutinyEN
  9. 09CoreWeave Sinks 9% as Microsoft Rejects Nscale's Texas ExpansionEN
  10. 10CoreWeave Q3: A $39 Billion AI Reckoning Is ComingEN
  11. 11CoreWeave and Solidigm Sign Storage Agreement - CoreWeaveEN
  12. 12CoreWeave Enters India, Expanding AI Cloud Platform With AdaniConneX - CoreWeaveEN
  13. 13CoreWeave Expands Global AI Cloud Platform With New Capacity in Denmark and First Global AI Network BackboneEN
  14. 14India’s installed solar PV capacity to exceed 350 GW by 2030, says IEAEN
  15. 15Stoke Space evaluating expansion of Cape site for second Nova padEN
  16. 16Electric Buses Need a Plan for the Next Operating ContractEN
  17. 17Exelon, Invenergy complaints at FERC seek capacity market changesEN
  18. 18AI’s Expansion Hits the Limits of Local PowerEN
  19. 19Microsoft Pulls Back From Neocloud Deals, Declines Nscale Texas Expansion and Tightens Scrutiny of Nebius, IREN Projects - BigGo FinanceEN
  20. 20After Pulling Deal For Nscale’s UK Data Center, Microsoft Rejects Texas Expansion Option: Report - TradingViewEN
  21. 21Cloud Revenue Hits $168B as AI Capacity ExpandsEN
  22. 22Astranis Upgrades Falcon 9 Launch Contract to Dedicated Mission for Entire Block 4 Production Run of SatellitesEN

All figures and quotations in this text come from the sources listed below.

Content prepared by the editorial team with AI assistance.

Grace Okonkwo

Grace Okonkwo

AI, models and technology

Grace Okonkwo covers AI, models and technology for FLASH24, working from primary sources such as model cards, API documentation and benchmark papers rather than vendor summaries. She checks training data provenance, evaluation conditions and reported scores against the underlying datasets before any figure reaches print. She interviews researchers and engineers directly, tracks release calendars from major labs, and compares successive model versions on the same tests. Her own self-hosting, home-network and documentation-reading habits feed straight into that desk, since she tests tools on her own hardware first. She does not publish benchmark claims without a reproducible method.

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