Southern Copper (SCCO) Price to Earnings (2009 - 2026)
Southern Copper (SCCO) posted Price to Earnings of 87.06 for Q2 2026, down 2.44% on a QoQ basis from 89.24 in Q1 2026, and up 8.09% year-over-year from 80.54 in Q2 2025.
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Analysis
Southern Copper (SCCO) Price to Earnings (2009 - 2026) Analysis & Trends
Southern Copper has reported Price to Earnings for 18 years, with the latest figure at 87.06 in Q2 2026.
- On a quarterly basis, Price to Earnings rose 8.09% year-over-year to 87.06 in Q2 2026; TTM through Jun 2026 was 25.68, a 18.23% increase from a year earlier, with the FY2025 full-year figure at 26.61, up 30.75% from the prior year.
- Price to Earnings was 87.06 for Q2 2026 at Southern Copper, down from 89.24 in the prior quarter.
- The five-year high for Price to Earnings was 141.66 in Q4 2023, with the low at 49.01 in Q4 2022.
- Average Price to Earnings over 5 years is 85.67, with a median of 86.61 recorded in 2024.
- The sharpest annual moves came in 2023 and 2024: Price to Earnings surged 189.02% in 2023, then tumbled 38.88% in 2024.
- Over 5 years, Price to Earnings stood at 49.01 in 2022, then soared by 189.02% to 141.66 in 2023, then sank by 38.88% to 86.58 in 2024, then climbed by 1.88% to 88.21 in 2025, then fell by 1.31% to 87.06 in 2026.
- The last three Price to Earnings figures came in at 87.06 (Q2 2026), 89.24 (Q1 2026), and 88.21 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 186.21 Bn | 152.34 Bn | - |
| 2 | Southern Copper | 170.20 Bn | 149.06 Bn | 2.90 Bn |
| 3 | Newmont | 127.93 Bn | 96.10 Bn | 4.03 Bn |
| 4 | Ternium | 111.02 Bn | 76.07 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.81 Bn | 99.96 Bn | 2.19 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 |
| 8 | Nucor | 56.10 Bn | 46.64 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 53.80 Bn | 34.82 Bn | - |
| 10 | AngloGold Ashanti | 50.01 Bn | 39.68 Bn | 1.70 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.37 |
| Mar 31, 2026 | 28.00 |
| Dec 31, 2025 | 26.31 |
| Sep 30, 2025 | 24.84 |
| Jun 30, 2025 | 21.48 |
| Mar 31, 2025 | 19.60 |
| Dec 31, 2024 | 20.30 |
| Sep 30, 2024 | 28.36 |
| Jun 30, 2024 | 28.93 |
| Mar 31, 2024 | 33.51 |
| Dec 31, 2023 | 26.22 |
| Sep 30, 2023 | 19.29 |
| Jun 30, 2023 | 19.05 |
| Mar 31, 2023 | 21.12 |
| Dec 31, 2022 | 16.91 |
| Sep 30, 2022 | 12.89 |
| Jun 30, 2022 | 12.61 |
| Mar 31, 2022 | 16.40 |
| Dec 31, 2021 | 13.42 |
| Sep 30, 2021 | 13.15 |
API Access
Southern Copper Price to Earnings 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=price-to-earnings&ticker=SCCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=SCCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();