Southern Copper (SCCO) Selling, General & Administrative (2009 - 2026)
Southern Copper's Selling, General & Administrative came in at $35.3 million for Q2 2026, up 8.6% from $32.5 million a year earlier but down 1.4% from the prior quarter.
Southern Copper (SCCO) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Southern Copper reported Selling, General & Administrative of $144.7 million, up 11.4% year-over-year; for FY2025, it was $137.8 million, up 5.6% from FY2024.
- Selling, General & Administrative has increased in each of the last three years, with a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $130.5 million in FY2024 (+2.6%), $127.2 million in FY2023 (+1.8%), $125 million in FY2022 (-0.2%) and $125.2 million in FY2021 (-0.8%).
- The five-year range for quarterly Selling, General & Administrative is $30.2 million (Q3 2022) to $39.9 million (Q4 2025).
- Year-over-year, Selling, General & Administrative has increased for four consecutive quarters, with growth averaging 5.5% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2025 (growth of 15.7%), and the weakest in Q3 2021 (a decline of 6.3%).
- Business Quant data shows SCCO's Selling, General & Administrative at $35.8 million (Q1 2026), $39.9 million (Q4 2025) and $33.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 151.68 Bn | 130.46 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Rio Tinto | 135.32 Bn | 95.82 Bn | - | - |
| 4 | Newmont | 115.44 Bn | 80.59 Bn | 4.22 Bn | 82.00 Mn |
| 5 | Freeport-Mcmoran | 93.70 Bn | 77.74 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 87.06 Bn | 76.69 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 65.10 Bn | 40.30 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 60.06 Bn | 49.44 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 45.47 Bn | 24.49 Bn | - | - |
| 10 | AngloGold Ashanti | 42.46 Bn | 30.35 Bn | 1.70 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.30 Mn |
| Mar 31, 2026 | 35.80 Mn |
| Dec 31, 2025 | 39.90 Mn |
| Sep 30, 2025 | 33.70 Mn |
| Jun 30, 2025 | 32.50 Mn |
| Mar 31, 2025 | 31.70 Mn |
| Dec 31, 2024 | 34.50 Mn |
| Sep 30, 2024 | 31.20 Mn |
| Jun 30, 2024 | 33.90 Mn |
| Mar 31, 2024 | 30.80 Mn |
| Dec 31, 2023 | 33.10 Mn |
| Sep 30, 2023 | 32.70 Mn |
| Jun 30, 2023 | 31.00 Mn |
| Mar 31, 2023 | 30.40 Mn |
| Dec 31, 2022 | 33.60 Mn |
| Sep 30, 2022 | 30.20 Mn |
| Jun 30, 2022 | 30.90 Mn |
| Mar 31, 2022 | 30.30 Mn |
| Dec 31, 2021 | 32.30 Mn |
| Sep 30, 2021 | 31.30 Mn |
Southern Copper Selling, General & Administrative 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=selling-general-and-administrative&ticker=SCCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SCCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();