Ero Copper (ERO) Selling, General & Administrative (2020 - 2026)
Ero Copper (ERO) posted Selling, General & Administrative of -$12.54 million for the quarter ended Jun 30, 2026, compared with -$11.56 million a year earlier.
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Analysis
Ero Copper (ERO) Selling, General & Administrative (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Ero Copper was -$50.11 million; for the year ended Dec 31, 2025, it came in at -$49.45 million.
- In prior years, Ero Copper's Selling, General & Administrative was -$49.6 million in the year ended Dec 31, 2024, -$52.43 million in the year ended Dec 31, 2023, -$49.46 million in the year ended Dec 31, 2022 and -$38.85 million in the year ended Dec 31, 2021.
- Quarterly Selling, General & Administrative has run from a low of -$14.4 million in the quarter ended Sep 30, 2023 to a high of -$8.59 million in the quarter ended Sep 30, 2021 over five years.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was -$11.06 million (quarter ended Mar 31, 2026), -$13.94 million (quarter ended Dec 31, 2025) and -$12.58 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Ero Copper | 3.95 Bn | 3.59 Bn | 121.42 Mn | -12.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.54 Mn |
| Mar 31, 2026 | -11.06 Mn |
| Dec 31, 2025 | -13.94 Mn |
| Sep 30, 2025 | -12.58 Mn |
| Jun 30, 2025 | -11.56 Mn |
| Mar 31, 2025 | -11.37 Mn |
| Dec 31, 2024 | -13.65 Mn |
| Sep 30, 2024 | -12.63 Mn |
| Jun 30, 2024 | -11.81 Mn |
| Mar 31, 2024 | -11.51 Mn |
| Dec 31, 2023 | -12.16 Mn |
| Sep 30, 2023 | -14.40 Mn |
| Jun 30, 2023 | -13.65 Mn |
| Mar 31, 2023 | -12.22 Mn |
| Dec 31, 2022 | -14.05 Mn |
| Sep 30, 2022 | -11.73 Mn |
| Jun 30, 2022 | -12.47 Mn |
| Mar 31, 2022 | -11.21 Mn |
| Dec 31, 2021 | -12.25 Mn |
| Sep 30, 2021 | -8.59 Mn |
API Access
Ero 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=ERO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ERO", "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=ERO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();