Ero Copper (ERO) Change in Property, Plant and Equipment (2020 - 2026)
Ero Copper (ERO) posted Change in Property, Plant and Equipment of $66.78 million for Q3 2026, down 4.4% from $69.88 million a year earlier and down 17.1% from the prior quarter.
Ero Copper (ERO) Change in Property, Plant and Equipment (2020 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Property, Plant and Equipment at Ero Copper was -$271.76 million; for FY2025, it came in at -$282.44 million.
- In prior years, Ero Copper's Change in Property, Plant and Equipment was -$337.59 million in FY2024, -$445.76 million in FY2023, -$286.33 million in FY2022 and -$177.01 million in FY2021.
- Quarterly Change in Property, Plant and Equipment has run from a low of -$781.87 million in Q4 2023 to a high of $131.58 million in Q2 2023 over five years.
- On a year-over-year basis, Change in Property, Plant and Equipment increased in 1 of the last six quarters, with an average decline of 8.5%.
- The strongest year-over-year quarter for Change in Property, Plant and Equipment in the past five years was Q2 2023, with growth of 127.8%; the weakest was Q1 2025, with a decline of 49.5%.
- According to Business Quant data, Change in Property, Plant and Equipment for the three prior quarters was $80.53 million (Q2 2026), $55.78 million (Q1 2026) and -$474.84 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 172.02 Bn | 161.79 Bn | 2.33 Bn | 3.11 Bn |
| 2 | Rio Tinto | 168.15 Bn | 130.95 Bn | - | - |
| 3 | Southern Copper | 138.51 Bn | 113.33 Bn | 3.10 Bn | -515.80 Mn |
| 4 | Rio Tinto | 134.73 Bn | 101.79 Bn | - | - |
| 5 | Newmont | 117.64 Bn | 82.96 Bn | 4.22 Bn | -857.00 Mn |
| 6 | Ternium | 99.96 Bn | 72.72 Bn | 1.04 Bn | 399.69 Mn |
| 7 | Agnico Eagle Mines | 89.22 Bn | 76.17 Bn | 2.15 Bn | 902.80 Mn |
| 8 | Freeport-Mcmoran | 85.03 Bn | 81.69 Bn | 2.55 Bn | -1.16 Bn |
| 9 | Barrick Mining | 63.01 Bn | 47.43 Bn | 2.71 Bn | 1.33 Bn |
| 10 | Ero Copper | 3.03 Bn | 2.62 Bn | 169.56 Mn | 66.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 66.78 Mn |
| Jun 30, 2026 | 80.53 Mn |
| Mar 31, 2026 | 55.78 Mn |
| Dec 31, 2025 | -474.84 Mn |
| Sep 30, 2025 | 69.88 Mn |
| Jun 30, 2025 | 66.09 Mn |
| Mar 31, 2025 | 56.43 Mn |
| Dec 31, 2024 | -593.60 Mn |
| Sep 30, 2024 | 74.48 Mn |
| Jun 30, 2024 | 74.94 Mn |
| Mar 31, 2024 | 106.59 Mn |
| Dec 31, 2023 | -783.98 Mn |
| Sep 30, 2023 | 120.09 Mn |
| Jun 30, 2023 | 131.58 Mn |
| Mar 31, 2023 | 84.44 Mn |
| Dec 31, 2022 | -490.80 Mn |
| Sep 30, 2022 | 93.57 Mn |
| Jun 30, 2022 | 57.77 Mn |
| Mar 31, 2022 | 45.56 Mn |
| Dec 31, 2021 | -302.12 Mn |
Ero Copper Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=ERO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=ERO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();