Ero Copper (ERO) Total Liabilities (2020 - 2026)
Ero Copper (ERO) reported Total Liabilities of $871.46 million for Q3 2026, down 12.1% from $991.18 million a year earlier and down 7.5% from the prior quarter.
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Analysis
Ero Copper (ERO) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Ero Copper posted Total Liabilities of $988.35 million, up 13.5% from FY2024.
- Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 28.3% (FY2020 to FY2025).
- By year, Total Liabilities came in at $870.9 million in FY2024 (+23.1%), $707.44 million in FY2023 (+8.9%), $649.48 million in FY2022 (+118.9%) and $296.71 million in FY2021 (+4.3%).
- The Q3 2026 figure ranks as the lowest quarterly Total Liabilities since Q4 2024.
- Year over year, Total Liabilities has now declined in each of the last three quarters, with growth averaging 12.7% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2022 (growth of 130.4%); the low point was Q3 2026 (a decline of 12.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $941.89 million (Q2 2026), $957.06 million (Q1 2026) and $988.35 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 172.02 Bn | 161.79 Bn | 2.33 Bn | 15.55 Bn |
| 2 | Rio Tinto | 168.15 Bn | 130.95 Bn | - | 61.80 Bn |
| 3 | Southern Copper | 138.51 Bn | 113.33 Bn | 3.10 Bn | 12.01 Bn |
| 4 | Rio Tinto | 134.73 Bn | 101.79 Bn | - | 61.80 Bn |
| 5 | Newmont | 117.64 Bn | 82.96 Bn | 4.22 Bn | 22.33 Bn |
| 6 | Ternium | 99.96 Bn | 72.72 Bn | 1.04 Bn | 12.70 Bn |
| 7 | Agnico Eagle Mines | 89.22 Bn | 76.17 Bn | 2.15 Bn | 9.51 Bn |
| 8 | Freeport-Mcmoran | 85.03 Bn | 81.69 Bn | 2.55 Bn | 27.87 Bn |
| 9 | Barrick Mining | 63.01 Bn | 47.43 Bn | 2.71 Bn | 15.50 Bn |
| 10 | Ero Copper | 3.03 Bn | 2.62 Bn | 169.56 Mn | 871.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 871.46 Mn |
| Jun 30, 2026 | 941.89 Mn |
| Mar 31, 2026 | 957.06 Mn |
| Dec 31, 2025 | 988.35 Mn |
| Sep 30, 2025 | 991.18 Mn |
| Jun 30, 2025 | 949.11 Mn |
| Mar 31, 2025 | 971.81 Mn |
| Dec 31, 2024 | 870.90 Mn |
| Sep 30, 2024 | 800.63 Mn |
| Jun 30, 2024 | 777.15 Mn |
| Mar 31, 2024 | 726.25 Mn |
| Dec 31, 2023 | 707.44 Mn |
| Sep 30, 2023 | 668.36 Mn |
| Jun 30, 2023 | 678.35 Mn |
| Mar 31, 2023 | 637.91 Mn |
| Dec 31, 2022 | 649.48 Mn |
| Sep 30, 2022 | 619.00 Mn |
| Jun 30, 2022 | 628.66 Mn |
| Mar 31, 2022 | 634.18 Mn |
| Dec 31, 2021 | 296.71 Mn |
API Access
Ero Copper Total 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-liabilities&ticker=ERO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ERO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();