Ero Copper (ERO) Inventory (2020 - 2026)
Ero Copper (ERO) reported Inventory of $130 million for the quarter ended Jun 30, 2026, up 108.5% from $62.35 million a year earlier and up 20.7% from the prior quarter.
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Analysis
Ero Copper (ERO) Inventory (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Ero Copper posted Inventory of $107.11 million, up 154.5% from the prior year.
- Inventory has a five-year compound annual growth rate of 33.3% (years ended Dec 2020 to Dec 2025).
- By year, Inventory came in at $42.09 million in the year ended Dec 31, 2024 (-0.4%), $42.25 million in the year ended Dec 31, 2023 (+36.5%), $30.96 million in the year ended Dec 31, 2022 (+19.0%) and $26.02 million in the year ended Dec 31, 2021 (+2.1%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Inventory in data going back to the quarter ended Dec 31, 2020.
- Year over year, Inventory has now increased in each of the last six quarters, with growth averaging 76.8% over the last eight quarters.
- The high point for year-over-year Inventory in five years was the quarter ended Dec 31, 2025 (growth of 154.5%); the low point was the quarter ended Jun 30, 2024 (a decline of 17.5%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $107.74 million (quarter ended Mar 31, 2026), $107.11 million (quarter ended Dec 31, 2025) and $91.63 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 324.00 Mn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.06 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 1.48 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 4.40 Bn |
| 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 | 1.62 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 2.09 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 6.02 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 19.28 Bn |
| 10 | Ero Copper | 3.90 Bn | 3.54 Bn | 121.42 Mn | 130.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.00 Mn |
| Mar 31, 2026 | 107.74 Mn |
| Dec 31, 2025 | 107.11 Mn |
| Sep 30, 2025 | 91.63 Mn |
| Jun 30, 2025 | 62.35 Mn |
| Mar 31, 2025 | 55.54 Mn |
| Dec 31, 2024 | 42.09 Mn |
| Sep 30, 2024 | 42.92 Mn |
| Jun 30, 2024 | 34.15 Mn |
| Mar 31, 2024 | 35.09 Mn |
| Dec 31, 2023 | 42.25 Mn |
| Sep 30, 2023 | 41.34 Mn |
| Jun 30, 2023 | 41.41 Mn |
| Mar 31, 2023 | 32.59 Mn |
| Dec 31, 2022 | 30.96 Mn |
| Sep 30, 2022 | 31.18 Mn |
| Jun 30, 2022 | 30.08 Mn |
| Mar 31, 2022 | 33.73 Mn |
| Dec 31, 2021 | 26.02 Mn |
| Sep 30, 2021 | 24.29 Mn |
API Access
Ero Copper Inventory 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=inventory&ticker=ERO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ERO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();