Ero Copper (ERO) EBITDA (2020 - 2026)
Ero Copper (ERO) reported EBITDA of $142.78 million for the quarter ended Jun 30, 2026, up 104.6% from $69.77 million a year earlier and up 14.0% from the prior quarter.
Ero Copper (ERO) EBITDA (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ero Copper's EBITDA came in at $511.16 million, up 108.8% year-over-year; for the year ended Dec 31, 2025, it was $372.3 million, up 109.1% from the prior year.
- EBITDA has a five-year compound annual growth rate of 14.3% (years ended Dec 2020 to Dec 2025).
- By year, EBITDA came in at $178.02 million in the year ended Dec 31, 2024 (+10.5%), $161.14 million in the year ended Dec 31, 2023 (-7.4%), $173.97 million in the year ended Dec 31, 2022 (-44.3%) and $312.18 million in the year ended Dec 31, 2021 (+63.9%).
- Five-year quarterly EBITDA spans a low of $30.49 million in the quarter ended Mar 31, 2024 and a high of $176.7 million in the quarter ended Dec 31, 2025.
- Year over year, EBITDA has now increased in each of the last six quarters, with growth averaging 74.3% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was the quarter ended Dec 31, 2025 (growth of 170.2%); the low point was the quarter ended Jun 30, 2024 (a decline of 53.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $125.21 million (quarter ended Mar 31, 2026), $176.7 million (quarter ended Dec 31, 2025) and $66.48 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 1.61 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 2.73 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | 1.84 Bn |
| 10 | Ero Copper | 3.32 Bn | 2.96 Bn | 121.42 Mn | 146.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 146.34 Mn |
| Mar 31, 2026 | 130.54 Mn |
| Dec 31, 2025 | 182.08 Mn |
| Sep 30, 2025 | 69.44 Mn |
| Jun 30, 2025 | 73.18 Mn |
| Mar 31, 2025 | 61.60 Mn |
| Dec 31, 2024 | 65.65 Mn |
| Sep 30, 2024 | 57.31 Mn |
| Jun 30, 2024 | 36.96 Mn |
| Mar 31, 2024 | 36.41 Mn |
| Dec 31, 2023 | 78.99 Mn |
| Sep 30, 2023 | 71.18 Mn |
| Jun 30, 2023 | 73.30 Mn |
| Mar 31, 2023 | 68.83 Mn |
| Dec 31, 2022 | 83.12 Mn |
| Sep 30, 2022 | 49.28 Mn |
| Jun 30, 2022 | 79.48 Mn |
| Mar 31, 2022 | 83.72 Mn |
| Dec 31, 2021 | 110.29 Mn |
| Sep 30, 2021 | 88.85 Mn |
Ero 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=ERO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ERO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();