Commercial Metals (CMC) Operating Expenses (2009 - 2026)
Commercial Metals (CMC) posted Operating Expenses of $2.29 billion for fiscal Q3 2026 (quarter ended May 31, 2026), up 20.1% from $1.91 billion a year earlier and up 13.5% from the prior quarter.
Commercial Metals (CMC) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Operating Expenses at Commercial Metals was $8.18 billion, up 7.1% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $7.69 billion, up 5.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- In prior fiscal years, Commercial Metals' Operating Expenses was $7.29 billion in FY2024 (-5.0%), $7.68 billion in FY2023 (+3.8%), $7.4 billion in FY2022 (+19.4%) and $6.2 billion in FY2021 (+21.3%).
- The fiscal Q3 2026 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q1 2010.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 5.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2021, with growth of 38.9%; the weakest was fiscal Q1 2026, with a decline of 9.5%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $2.02 billion (Q2 2026), $1.94 billion (Q1 2026) and $1.92 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -780.00 Mn |
| 10 | Commercial Metals | 7.14 Bn | 6.58 Bn | 455.14 Mn | 2.29 Bn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.29 Bn |
| Feb 28, 2026 | 2.02 Bn |
| Nov 30, 2025 | 1.94 Bn |
| Aug 31, 2025 | 1.92 Bn |
| May 31, 2025 | 1.91 Bn |
| Feb 28, 2025 | 1.72 Bn |
| Nov 30, 2024 | 2.14 Bn |
| Aug 31, 2024 | 1.86 Bn |
| May 31, 2024 | 1.92 Bn |
| Feb 29, 2024 | 1.73 Bn |
| Nov 30, 2023 | 1.78 Bn |
| Aug 31, 2023 | 1.97 Bn |
| May 31, 2023 | 2.03 Bn |
| Feb 28, 2023 | 1.78 Bn |
| Nov 30, 2022 | 1.89 Bn |
| Aug 31, 2022 | 2.07 Bn |
| May 31, 2022 | 2.11 Bn |
| Feb 28, 2022 | 1.50 Bn |
| Nov 30, 2021 | 1.72 Bn |
| Aug 31, 2021 | 1.84 Bn |
Commercial Metals Operating Expenses 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=operating-expenses&ticker=CMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();