Ero Copper (ERO) Operating Expenses (2020 - 2026)
Ero Copper's Operating Expenses came in at -$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) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ero Copper reported Operating Expenses of -$50.11 million; for the year ended Dec 31, 2025, it was -$49.45 million.
- Going back by year, Operating Expenses 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.
- The five-year range for quarterly Operating Expenses is -$14.4 million (the quarter ended Sep 30, 2023) to -$8.59 million (the quarter ended Sep 30, 2021).
- Business Quant data shows ERO's Operating Expenses at -$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) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -780.00 Mn |
| 10 | Ero Copper | 3.90 Bn | 3.54 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 Operating Expenses 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=operating-expenses&ticker=ERO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ERO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();