Ero Copper (ERO) Receivables (2020 - 2026)
Ero Copper's Receivables came in at $54.39 million for the quarter ended Jun 30, 2026, up 327.2% from $12.73 million a year earlier and up 13.2% from the prior quarter.
Ero Copper (ERO) Receivables (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Ero Copper's Receivables was $41.06 million, up 123.2% from the prior year.
- Receivables carries a five-year compound annual growth rate of 15.1% (years ended Dec 2020 to Dec 2025).
- Going back by year, Receivables was $18.4 million in the year ended Dec 31, 2024 (+222.2%), $5.71 million in the year ended Dec 31, 2023 (-44.5%) and $10.29 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Receivables since the quarter ended Mar 31, 2025.
- Year-over-year, Receivables increased in five of the last eight quarters, with growth averaging 169.8%.
- The fastest year-over-year change in Receivables over five years came in the quarter ended Mar 31, 2025 (growth of 689.1%), and the weakest in the quarter ended Mar 31, 2024 (a decline of 62.0%).
- Business Quant data shows ERO's Receivables at $48.06 million (quarter ended Mar 31, 2026), $41.06 million (quarter ended Dec 31, 2025) and $11.13 million (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) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 7.06 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 2.07 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 1.18 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 764.12 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 716.00 Mn |
| 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 | 856.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 4.05 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 4.51 Bn |
| 10 | Ero Copper | 3.90 Bn | 3.54 Bn | 121.42 Mn | 54.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.39 Mn |
| Mar 31, 2026 | 48.06 Mn |
| Dec 31, 2025 | 41.06 Mn |
| Sep 30, 2025 | 11.13 Mn |
| Jun 30, 2025 | 12.73 Mn |
| Mar 31, 2025 | 63.61 Mn |
| Dec 31, 2024 | 18.40 Mn |
| Sep 30, 2024 | 20.14 Mn |
| Jun 30, 2024 | 16.42 Mn |
| Mar 31, 2024 | 8.06 Mn |
| Dec 31, 2023 | 5.71 Mn |
| Sep 30, 2023 | 10.70 Mn |
| Jun 30, 2023 | 12.78 Mn |
| Mar 31, 2023 | 21.21 Mn |
| Dec 31, 2022 | 10.29 Mn |
| Sep 30, 2022 | 26.44 Mn |
| Mar 31, 2022 | 25.92 Mn |
| Sep 30, 2021 | 28.59 Mn |
| Jun 30, 2021 | 21.51 Mn |
| Dec 31, 2020 | 20.35 Mn |
Ero Copper Receivables 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=receivables&ticker=ERO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ERO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();