Southern Copper (SCCO) Total Non-Current Liabilities (2009 - 2026)
Southern Copper (SCCO) recorded Total Non-Current Liabilities of $9.29 billion in Q2 2026, up 13.6% from $8.17 billion a year earlier and up 15.0% from the prior quarter.
Southern Copper (SCCO) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Southern Copper reported Total Non-Current Liabilities of $8.13 billion, up 12.5% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $7.23 billion in FY2024 (-8.0%), $7.86 billion in FY2023 (-0.5%), $7.89 billion in FY2022 (+0.7%) and $7.84 billion in FY2021 (-5.4%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Non-Current Liabilities rose in five of the last eight quarters, with growth averaging 4.6%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 13.6% in Q2 2026, against a decline of 8.0% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.08 billion (Q1 2026), $8.13 billion (Q4 2025) and $8.12 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 46.26 Bn |
| 2 | Southern Copper | 167.53 Bn | 146.32 Bn | 2.90 Bn | 9.29 Bn |
| 3 | Rio Tinto | 145.19 Bn | 105.69 Bn | - | 46.15 Bn |
| 4 | Newmont | 125.76 Bn | 93.76 Bn | 4.03 Bn | 15.38 Bn |
| 5 | Freeport-Mcmoran | 100.06 Bn | 84.10 Bn | 2.19 Bn | 26.27 Bn |
| 6 | Agnico Eagle Mines | 94.12 Bn | 83.75 Bn | 2.43 Bn | 7.26 Bn |
| 7 | Barrick Mining | 69.05 Bn | 44.25 Bn | 2.90 Bn | 23.61 Bn |
| 8 | Nucor | 59.59 Bn | 48.98 Bn | 2.03 Bn | 13.68 Bn |
| 9 | ArcelorMittal | 47.82 Bn | 26.84 Bn | - | 19.93 Bn |
| 10 | AngloGold Ashanti | 46.49 Bn | 34.38 Bn | 1.70 Bn | 3.14 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.29 Bn |
| Mar 31, 2026 | 8.08 Bn |
| Dec 31, 2025 | 8.13 Bn |
| Sep 30, 2025 | 8.12 Bn |
| Jun 30, 2025 | 8.17 Bn |
| Mar 31, 2025 | 8.21 Bn |
| Dec 31, 2024 | 7.23 Bn |
| Sep 30, 2024 | 7.29 Bn |
| Jun 30, 2024 | 7.32 Bn |
| Mar 31, 2024 | 7.84 Bn |
| Dec 31, 2023 | 7.86 Bn |
| Sep 30, 2023 | 7.87 Bn |
| Jun 30, 2023 | 7.92 Bn |
| Mar 31, 2023 | 7.89 Bn |
| Dec 31, 2022 | 7.89 Bn |
| Sep 30, 2022 | 7.97 Bn |
| Jun 30, 2022 | 7.93 Bn |
| Mar 31, 2022 | 7.95 Bn |
| Dec 31, 2021 | 7.84 Bn |
| Sep 30, 2021 | 8.17 Bn |
Southern Copper Total Non-Current 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-non-current-liabilities&ticker=SCCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SCCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();