Southern Copper (SCCO) EBITDA (2009 - 2026)
Southern Copper (SCCO) posted EBITDA of $2.6 billion for Q2 2026, up 5.76% on a QoQ basis from $2.5 billion in Q1 2026, and up 65.29% year-over-year from $1.6 billion in Q2 2025.
Southern Copper (SCCO) EBITDA (2009 - 2026) Analysis & Trends
Southern Copper has reported EBITDA for 18 years, with the latest figure at $2.6 billion in Q2 2026.
- On a quarterly basis, EBITDA rose 65.29% year-over-year to $2.6 billion in Q2 2026; TTM through Jun 2026 was $9.0 billion, a 52.76% increase from a year earlier, with the FY2025 full-year figure at $7.0 billion, up 26.05% from the prior year.
- EBITDA was $2.6 billion for Q2 2026 at Southern Copper, up from $2.5 billion in the prior quarter.
- The five-year high for EBITDA was $2.6 billion in Q2 2026, with the low at $787.2 million in Q3 2022.
- Average EBITDA over 5 years is $1.5 billion, with a median of $1.4 billion recorded in 2022.
- The sharpest annual moves came in 2022 and 2024: EBITDA slumped 51.74% in 2022, then jumped 78.45% in 2024.
- Over 5 years, EBITDA stood at $1.4 billion in 2022, then slumped by 36.6% to $868.7 million in 2023, then surged by 50.5% to $1.3 billion in 2024, then surged by 61.42% to $2.1 billion in 2025, then advanced by 24.3% to $2.6 billion in 2026.
- The last three EBITDA figures came in at $2.6 billion (Q2 2026), $2.5 billion (Q1 2026), and $2.1 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 186.21 Bn | 152.34 Bn | - | - |
| 2 | Southern Copper | 170.20 Bn | 149.06 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Newmont | 127.93 Bn | 96.10 Bn | 4.03 Bn | 1.61 Bn |
| 4 | Ternium | 111.02 Bn | 76.07 Bn | 941.02 Mn | 722.41 Mn |
| 5 | Freeport-Mcmoran | 103.81 Bn | 99.96 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 97.22 Bn | 97.22 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 71.84 Bn | 56.58 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 56.10 Bn | 46.64 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 53.80 Bn | 34.82 Bn | - | - |
| 10 | AngloGold Ashanti | 50.01 Bn | 39.68 Bn | 1.70 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.85 Bn |
| Mar 31, 2026 | 2.71 Bn |
| Dec 31, 2025 | 2.34 Bn |
| Sep 30, 2025 | 1.98 Bn |
| Jun 30, 2025 | 1.79 Bn |
| Mar 31, 2025 | 1.76 Bn |
| Dec 31, 2024 | 1.52 Bn |
| Sep 30, 2024 | 1.66 Bn |
| Jun 30, 2024 | 1.82 Bn |
| Mar 31, 2024 | 1.40 Bn |
| Dec 31, 2023 | 1.08 Bn |
| Sep 30, 2023 | 1.28 Bn |
| Jun 30, 2023 | 1.11 Bn |
| Mar 31, 2023 | 1.56 Bn |
| Dec 31, 2022 | 1.57 Bn |
| Sep 30, 2022 | 979.20 Mn |
| Jun 30, 2022 | 1.02 Bn |
| Mar 31, 2022 | 1.67 Bn |
| Dec 31, 2021 | 1.74 Bn |
| Sep 30, 2021 | 1.71 Bn |
Southern Copper EBITDA 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=ebitda&ticker=SCCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SCCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();