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Core Scientific Q2 revenue eases past estimates on colocation growth

Core Scientific Q2 revenue eases past estimates on colocation growth

ReutersReuters2026/07/28 11:29
By:Reuters


Overview

  • US digital infrastructure provider's Q2 revenue more than doubled yr/yr, beating analyst expectations

  • Company posted a large net loss, mainly due to non-cash warrant revaluation


Outlook

  • Company did not provide specific guidance for the current quarter or full year in the press release


Result Drivers

  • COLOCATION EXPANSION - Q2 results driven by rapid growth in high-density colocation services, with colocation revenue rising to $136.7 mln and leased customer power capacity reaching 1.1 GW

  • AMD PARTNERSHIP - New long-term partnership with AMD anchored by 15-year agreements for 530 MW across five sites, supporting up to 2.5 GW of leasable capacity

  • IMPROVED MARGINS - Gross margin rose to 43% from 6% a year earlier, reflecting scaling of colocation operations


Company press release: ID:nBw2hR3NWa


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Revenue

Beat

$164.20 mln

$142.98 mln (14 Analysts)

Q2 Loss Per Share

$3.32


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 15 "strong buy" or "buy", 5 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the blockchain cryptocurrency peer group is "buy"

  • Wall Street's median 12-month price target for Core Scientific Inc is $30.00, about 44.6% above its July 27 closing price of $20.74


Reuters Recommended Reads

  • July 28 - Core Scientific signs AI infrastructure deal with AMD

  • July 27 - Applied Digital beats quarterly revenue estimates on surging AI infrastructure demand

  • July 28 - Meta, BlackRock partner on $14 billion El Paso data center


For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com.


(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)

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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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