Ero Copper (ERO) Assets (2020 - 2026)
Ero Copper (ERO) reported Assets of $2.16 billion for the quarter ended Jun 30, 2026, up 21.6% from $1.77 billion a year earlier and up 4.9% from the prior quarter.
Ero Copper (ERO) Assets (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Ero Copper posted Assets of $1.92 billion, up 32.0% from the prior year.
- Assets has a five-year compound annual growth rate of 31.1% (years ended Dec 2020 to Dec 2025).
- By year, Assets came in at $1.46 billion in the year ended Dec 31, 2024 (-3.5%), $1.51 billion in the year ended Dec 31, 2023 (+27.2%), $1.19 billion in the year ended Dec 31, 2022 (+72.2%) and $689.76 million in the year ended Dec 31, 2021 (+38.8%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Assets in data going back to the quarter ended Dec 31, 2020.
- Year over year, Assets has now increased in each of the last six quarters, with growth averaging 18.5% over the last eight quarters.
- The high point for year-over-year Assets in five years was the quarter ended Mar 31, 2022 (growth of 130.4%); the low point was the quarter ended Dec 31, 2024 (a decline of 3.5%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $2.06 billion (quarter ended Mar 31, 2026), $1.92 billion (quarter ended Dec 31, 2025) and $1.88 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 133.50 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 24.13 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 57.64 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 24.55 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 59.73 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 37.80 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 52.35 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 36.95 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 99.15 Bn |
| 10 | Ero Copper | 3.90 Bn | 3.54 Bn | 121.42 Mn | 2.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.16 Bn |
| Mar 31, 2026 | 2.06 Bn |
| Dec 31, 2025 | 1.92 Bn |
| Sep 30, 2025 | 1.88 Bn |
| Jun 30, 2025 | 1.77 Bn |
| Mar 31, 2025 | 1.69 Bn |
| Dec 31, 2024 | 1.46 Bn |
| Sep 30, 2024 | 1.51 Bn |
| Jun 30, 2024 | 1.43 Bn |
| Mar 31, 2024 | 1.50 Bn |
| Dec 31, 2023 | 1.51 Bn |
| Sep 30, 2023 | 1.30 Bn |
| Jun 30, 2023 | 1.34 Bn |
| Mar 31, 2023 | 1.22 Bn |
| Dec 31, 2022 | 1.19 Bn |
| Sep 30, 2022 | 1.10 Bn |
| Jun 30, 2022 | 1.13 Bn |
| Mar 31, 2022 | 1.17 Bn |
| Dec 31, 2021 | 689.76 Mn |
| Sep 30, 2021 | 625.06 Mn |
Ero Copper Assets 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=assets&ticker=ERO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=ERO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();