Commercial Metals (CMC) Capital Expenditures (2009 - 2026)
Commercial Metals (CMC) reported Capital Expenditures of $175.57 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), up 61.2% from $108.92 million a year earlier and up 12.4% from the prior quarter.
Commercial Metals (CMC) Capital Expenditures (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Commercial Metals posted Capital Expenditures of $579.84 million, up 43.9% from FY2025.
- Capital Expenditures has a five-year compound annual growth rate of 25.8% (FY2021 to FY2026).
- By fiscal year, Capital Expenditures came in at $402.82 million in FY2025 (+24.2%), $324.27 million in FY2024 (-46.5%), $606.67 million in FY2023 (+34.8%) and $449.99 million in FY2022 (+144.3%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Capital Expenditures in data going back to fiscal Q1 2010.
- Year over year, Capital Expenditures has now increased in each of the last six quarters, with growth averaging 36.9% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was fiscal Q4 2022 (growth of 174.2%); the low point was fiscal Q4 2024 (a decline of 51.2%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $156.14 million (Q3 2026), $122.7 million (Q2 2026) and $125.44 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | - |
| 2 | Southern Copper | 145.61 Bn | 120.34 Bn | 3.10 Bn | 515.80 Mn |
| 3 | Rio Tinto | 138.54 Bn | 138.54 Bn | - | - |
| 4 | Newmont | 127.15 Bn | 92.29 Bn | 4.22 Bn | 856.00 Mn |
| 5 | Ternium | 100.63 Bn | 93.91 Bn | - | - |
| 6 | Agnico Eagle Mines | 97.48 Bn | 92.69 Bn | - | - |
| 7 | Freeport-Mcmoran | 88.12 Bn | 72.16 Bn | 2.19 Bn | 1.10 Bn |
| 8 | Barrick Mining | 69.35 Bn | 47.84 Bn | 2.90 Bn | 1.19 Bn |
| 9 | Nucor | 59.10 Bn | 48.48 Bn | 2.03 Bn | 571.00 Mn |
| 10 | Commercial Metals | 7.17 Bn | 6.40 Bn | 501.51 Mn | 175.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 175.57 Mn |
| May 31, 2026 | 156.14 Mn |
| Feb 28, 2026 | 122.70 Mn |
| Nov 30, 2025 | 125.44 Mn |
| Aug 31, 2025 | 108.92 Mn |
| May 31, 2025 | 89.45 Mn |
| Feb 28, 2025 | 86.27 Mn |
| Nov 30, 2024 | 118.19 Mn |
| Aug 31, 2024 | 81.47 Mn |
| May 31, 2024 | 82.03 Mn |
| Feb 29, 2024 | 93.78 Mn |
| Nov 30, 2023 | 66.99 Mn |
| Aug 31, 2023 | 166.92 Mn |
| May 31, 2023 | 150.49 Mn |
| Feb 28, 2023 | 156.20 Mn |
| Nov 30, 2022 | 133.05 Mn |
| Aug 31, 2022 | 155.64 Mn |
| May 31, 2022 | 102.78 Mn |
| Feb 28, 2022 | 121.41 Mn |
| Nov 30, 2021 | 70.15 Mn |
Commercial Metals 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=CMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "CMC", "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=CMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();