Core Scientific (CORZ) Capital Expenditures (2021 - 2026)
Core Scientific (CORZ) recorded Capital Expenditures of $565.02 million in Q2 2026, up 365.9% from $121.28 million a year earlier and up 45.2% from the prior quarter.
Powered by 
Analysis
Core Scientific (CORZ) Capital Expenditures (2021 - 2026) Analysis & Trends
On a TTM basis, Core Scientific's Capital Expenditures came in at $1.48 billion as of Jun 30, 2026, up 457.3% year-over-year; for FY2025, it was $729 million, up 667.7% from FY2024.
- Annual Capital Expenditures has a three-year compound annual growth rate of 23.8% (FY2022 to FY2025).
- Across earlier years, Capital Expenditures came in at $94.96 million in FY2024 (+487.6%), $16.16 million in FY2023 (-95.8%) and $383.98 million in FY2022.
- The Q2 2026 figure is the highest quarterly Capital Expenditures in data going back to Q1 2021.
- On a year-over-year basis, Capital Expenditures has increased for four consecutive quarters, with growth averaging 432.5% over the last six quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 871.0% in Q4 2025, against a decline of 99.8% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $389.23 million (Q1 2026), $279.25 million (Q4 2025) and $244.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,780.05 Bn | 3,703.20 Bn | 60.48 Bn | 35.80 Bn |
| 2 | International Business Machines | 207.28 Bn | 158.18 Bn | 9.91 Bn | 229.00 Mn |
| 3 | Cloudflare | 113.42 Bn | 96.95 Bn | 499.52 Mn | 49.96 Mn |
| 4 | Equinix | 100.18 Bn | 88.73 Bn | 1.40 Bn | 1.58 Bn |
| 5 | Nebius | 60.05 Bn | 33.49 Bn | 448.70 Mn | -5.66 Bn |
| 6 | CoreWeave | 47.35 Bn | 34.44 Bn | 1.70 Bn | 6.42 Bn |
| 7 | Verisign | 25.30 Bn | 22.51 Bn | 384.60 Mn | 18.80 Mn |
| 8 | Nutanix | 18.96 Bn | 10.65 Bn | 651.35 Mn | 37.44 Mn |
| 9 | Akamai Technologies | 15.57 Bn | 8.98 Bn | 613.75 Mn | 144.93 Mn |
| 10 | Core Scientific | 5.21 Bn | 1.67 Bn | 70.04 Mn | 565.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 565.02 Mn |
| Mar 31, 2026 | 389.23 Mn |
| Dec 31, 2025 | 279.25 Mn |
| Sep 30, 2025 | 244.49 Mn |
| Jun 30, 2025 | 121.28 Mn |
| Mar 31, 2025 | 83.98 Mn |
| Dec 31, 2024 | 28.76 Mn |
| Sep 30, 2024 | 31.17 Mn |
| Jun 30, 2024 | 3.14 Mn |
| Mar 31, 2024 | 31.89 Mn |
| Dec 31, 2023 | 11.65 Mn |
| Sep 30, 2023 | 2.74 Mn |
| Jun 30, 2023 | 235,000.00 |
| Mar 31, 2023 | 1.54 Mn |
| Dec 31, 2022 | 140.23 Mn |
| Sep 30, 2022 | 5.20 Mn |
| Jun 30, 2022 | 105.31 Mn |
| Mar 31, 2022 | 133.22 Mn |
| Dec 31, 2021 | -116.07 Mn |
| Sep 30, 2021 | 77.00 Mn |
API Access
Core Scientific Capital Expenditures API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=capital-expenditures&ticker=CORZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "CORZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=CORZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();