Southern Copper (SCCO) Total Liabilities (2009 - 2026)
Southern Copper (SCCO) posted Total Liabilities of $11.42 billion for Q2 2026, up 20.2% from $9.5 billion a year earlier and up 13.4% from the prior quarter.
Southern Copper (SCCO) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Southern Copper's Total Liabilities came in at $10.28 billion, up 8.5% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In prior years, Southern Copper's Total Liabilities was $9.48 billion in FY2024 (+2.5%), $9.24 billion in FY2023 (+1.2%), $9.13 billion in FY2022 (-9.5%) and $10.09 billion in FY2021 (+4.3%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Liabilities increased in seven of the last eight quarters, with growth averaging 6.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 20.2%; the weakest was Q4 2022, with a decline of 9.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $10.07 billion (Q1 2026), $10.28 billion (Q4 2025) and $9.81 billion (Q3 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 | 167.53 Bn | 146.32 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 145.19 Bn | 105.69 Bn | - | 61.08 Bn |
| 4 | Newmont | 125.76 Bn | 93.76 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 100.06 Bn | 84.10 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 94.12 Bn | 83.75 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.05 Bn | 44.25 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 59.59 Bn | 48.98 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 47.82 Bn | 26.84 Bn | - | 44.33 Bn |
| 10 | AngloGold Ashanti | 46.49 Bn | 34.38 Bn | 1.70 Bn | 6.60 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.42 Bn |
| Mar 31, 2026 | 10.07 Bn |
| Dec 31, 2025 | 10.28 Bn |
| Sep 30, 2025 | 9.81 Bn |
| Jun 30, 2025 | 9.50 Bn |
| Mar 31, 2025 | 10.15 Bn |
| Dec 31, 2024 | 9.48 Bn |
| Sep 30, 2024 | 9.43 Bn |
| Jun 30, 2024 | 9.22 Bn |
| Mar 31, 2024 | 9.18 Bn |
| Dec 31, 2023 | 9.24 Bn |
| Sep 30, 2023 | 9.16 Bn |
| Jun 30, 2023 | 8.98 Bn |
| Mar 31, 2023 | 9.13 Bn |
| Dec 31, 2022 | 9.13 Bn |
| Sep 30, 2022 | 9.46 Bn |
| Jun 30, 2022 | 9.43 Bn |
| Mar 31, 2022 | 9.68 Bn |
| Dec 31, 2021 | 10.09 Bn |
| Sep 30, 2021 | 9.96 Bn |
Southern Copper 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=SCCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SCCO", "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=SCCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();