Ero Copper (ERO) Enterprise Value (2020 - 2026)
Ero Copper's Enterprise Value came in at $2.69 billion for the quarter ended Jun 30, 2026, up 59.9% from $1.68 billion a year earlier and unchanged from the prior quarter.
Ero Copper (ERO) Enterprise Value (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ero Copper reported Enterprise Value of $2.43 billion, up 58.5% year-over-year; for the year ended Dec 31, 2025, it came in at $2.84 billion, up 110.8% from the prior year.
- Enterprise Value carries a five-year compound annual growth rate of 15.8% (years ended Dec 2020 to Dec 2025).
- Going back by year, Enterprise Value was $1.35 billion in the year ended Dec 31, 2024 (-11.0%), $1.52 billion in the year ended Dec 31, 2023 (+58.9%), $953.68 million in the year ended Dec 31, 2022 (-31.0%) and $1.38 billion in the year ended Dec 31, 2021 (+1.3%).
- The five-year range for quarterly Enterprise Value is $642.77 million (the quarter ended Sep 30, 2022) to $2.84 billion (the quarter ended Dec 31, 2025).
- Year-over-year, Enterprise Value has increased for three consecutive quarters, with growth averaging 33.4% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in the quarter ended Sep 30, 2023 (growth of 134.3%), and the weakest in the quarter ended Sep 30, 2022 (a decline of 55.8%).
- Business Quant data shows ERO's Enterprise Value at $2.69 billion (quarter ended Mar 31, 2026), $2.84 billion (quarter ended Dec 31, 2025) and $2.04 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - |
| 10 | Ero Copper | 3.90 Bn | 3.54 Bn | 121.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.69 Bn |
| Mar 31, 2026 | 2.69 Bn |
| Dec 31, 2025 | 2.84 Bn |
| Sep 30, 2025 | 2.04 Bn |
| Jun 30, 2025 | 1.68 Bn |
| Mar 31, 2025 | 1.18 Bn |
| Dec 31, 2024 | 1.35 Bn |
| Sep 30, 2024 | 2.28 Bn |
| Jun 30, 2024 | 2.16 Bn |
| Mar 31, 2024 | 1.93 Bn |
| Dec 31, 2023 | 1.52 Bn |
| Sep 30, 2023 | 1.51 Bn |
| Jun 30, 2023 | 1.69 Bn |
| Mar 31, 2023 | 1.39 Bn |
| Dec 31, 2022 | 953.68 Mn |
| Sep 30, 2022 | 642.77 Mn |
| Jun 30, 2022 | 766.43 Mn |
| Mar 31, 2022 | 858.91 Mn |
| Dec 31, 2021 | 1.38 Bn |
| Sep 30, 2021 | 1.45 Bn |
Ero Copper Enterprise Value 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=enterprise-value&ticker=ERO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ERO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();