Ero Copper (ERO) Total Non-Current Liabilities (2020 - 2026)
Ero Copper (ERO) reported Total Non-Current Liabilities of $830.39 million for Q3 2026, down 13.1% from $955.64 million a year earlier and down 8.0% from the prior quarter.
Ero Copper (ERO) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Ero Copper posted Total Non-Current Liabilities of $725.3 million, up 10.7% from FY2024.
- Total Non-Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 30.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $655.25 million in FY2024 (+24.0%), $528.56 million in FY2023 (+2.3%), $516.79 million in FY2022 (+201.1%) and $171.61 million in FY2021 (-10.3%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $171.61 million in Q4 2021 and a high of $955.64 million in Q3 2025.
- Year over year, Total Non-Current Liabilities has now declined in each of the last three quarters, with growth averaging 12.1% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2022 (growth of 201.1%); the low point was Q3 2026 (a decline of 13.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $902.82 million (Q2 2026), $914.21 million (Q1 2026) and $725.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 172.02 Bn | 161.79 Bn | 2.33 Bn | 15.57 Bn |
| 2 | Rio Tinto | 168.15 Bn | 130.95 Bn | - | 46.26 Bn |
| 3 | Southern Copper | 138.51 Bn | 113.33 Bn | 3.10 Bn | 9.26 Bn |
| 4 | Rio Tinto | 134.73 Bn | 101.79 Bn | - | 46.26 Bn |
| 5 | Newmont | 117.64 Bn | 82.96 Bn | 4.22 Bn | 15.71 Bn |
| 6 | Ternium | 99.96 Bn | 72.72 Bn | 1.04 Bn | 4.10 Bn |
| 7 | Agnico Eagle Mines | 89.22 Bn | 76.17 Bn | 2.15 Bn | 7.27 Mn |
| 8 | Freeport-Mcmoran | 85.03 Bn | 81.69 Bn | 2.55 Bn | 26.62 Bn |
| 9 | Barrick Mining | 63.01 Bn | 47.43 Bn | 2.71 Bn | 14.12 Bn |
| 10 | Ero Copper | 3.03 Bn | 2.62 Bn | 169.56 Mn | 830.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 830.39 Mn |
| Jun 30, 2026 | 902.82 Mn |
| Mar 31, 2026 | 914.21 Mn |
| Dec 31, 2025 | 725.30 Mn |
| Sep 30, 2025 | 955.64 Mn |
| Jun 30, 2025 | 918.70 Mn |
| Mar 31, 2025 | 946.25 Mn |
| Dec 31, 2024 | 655.25 Mn |
| Sep 30, 2024 | 771.28 Mn |
| Jun 30, 2024 | 752.11 Mn |
| Mar 31, 2024 | 706.04 Mn |
| Dec 31, 2023 | 528.56 Mn |
| Sep 30, 2023 | 648.69 Mn |
| Jun 30, 2023 | 660.60 Mn |
| Mar 31, 2023 | 623.39 Mn |
| Dec 31, 2022 | 516.79 Mn |
| Sep 30, 2022 | 606.62 Mn |
| Jun 30, 2022 | 618.36 Mn |
| Mar 31, 2022 | 528.13 Mn |
| Dec 31, 2021 | 171.61 Mn |
Ero Copper Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ERO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ERO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();