Commercial Metals (CMC) Total Liabilities (2010 - 2026)
Commercial Metals' Total Liabilities was $5.26 billion in fiscal Q3 2026 (quarter ended May 31, 2026), up 81.8% from $2.9 billion a year earlier and up 2.1% from the prior quarter.
Commercial Metals (CMC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Total Liabilities at Commercial Metals came in at $2.98 billion, up 18.3% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $2.52 billion in FY2024 (unchanged), $2.52 billion in FY2023 (-14.7%), $2.95 billion in FY2022 (+25.9%) and $2.34 billion in FY2021 (+6.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Total Liabilities in data going back to fiscal Q4 2010.
- Compared with a year earlier, Total Liabilities has increased for seven straight quarters, with growth averaging 36.8% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2026 (growth of 92.5%); the worst was fiscal Q1 2024 (a decline of 15.3%).
- Per Business Quant data, CMC's Total Liabilities in the three fiscal quarters before Q3 2026 was $5.16 billion (Q2 2026), $4.93 billion (Q1 2026) and $2.98 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | 61.08 Bn |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 44.33 Bn |
| 10 | Commercial Metals | 7.15 Bn | 6.59 Bn | 455.14 Mn | 5.26 Bn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 5.26 Bn |
| Feb 28, 2026 | 5.16 Bn |
| Nov 30, 2025 | 4.93 Bn |
| Aug 31, 2025 | 2.98 Bn |
| May 31, 2025 | 2.90 Bn |
| Feb 28, 2025 | 2.68 Bn |
| Nov 30, 2024 | 2.76 Bn |
| Aug 31, 2024 | 2.52 Bn |
| May 31, 2024 | 2.56 Bn |
| Feb 29, 2024 | 2.60 Bn |
| Nov 30, 2023 | 2.59 Bn |
| Aug 31, 2023 | 2.52 Bn |
| May 31, 2023 | 2.62 Bn |
| Feb 28, 2023 | 2.86 Bn |
| Nov 30, 2022 | 3.05 Bn |
| Aug 31, 2022 | 2.95 Bn |
| May 31, 2022 | 2.96 Bn |
| Feb 28, 2022 | 2.63 Bn |
| Nov 30, 2021 | 2.24 Bn |
| Aug 31, 2021 | 2.34 Bn |
Commercial Metals Total Liabilities 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=total-liabilities&ticker=CMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();