Ero Copper (ERO) Total Liabilities (2020 - 2026)
Ero Copper (ERO) reported Total Liabilities of $941.89 million for the quarter ended Jun 30, 2026, down 0.8% from $949.11 million a year earlier and down 1.6% from the prior quarter.
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Analysis
Ero Copper (ERO) Total Liabilities (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Ero Copper posted Total Liabilities of $988.35 million, up 14.0% from the prior year.
- Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 28.4% (years ended Dec 2020 to Dec 2025).
- By year, Total Liabilities came in at $866.95 million in the year ended Dec 31, 2024 (+23.4%), $702.36 million in the year ended Dec 31, 2023 (+8.7%), $645.91 million in the year ended Dec 31, 2022 (+119.5%) and $294.27 million in the year ended Dec 31, 2021 (+4.0%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Total Liabilities since the quarter ended Dec 31, 2024.
- Year over year, Total Liabilities gained in six of the last eight quarters, with growth averaging 16.8%.
- The high point for year-over-year Total Liabilities in five years was the quarter ended Jun 30, 2022 (growth of 130.4%); the low point was the quarter ended Mar 31, 2026 (a decline of 1.5%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $957.06 million (quarter ended Mar 31, 2026), $988.35 million (quarter ended Dec 31, 2025) and $991.18 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 160.91 Bn | 139.70 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 140.51 Bn | 101.01 Bn | - | 61.08 Bn |
| 4 | Newmont | 123.27 Bn | 91.27 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 97.65 Bn | 81.70 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 92.90 Bn | 82.53 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 68.86 Bn | 44.06 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 60.25 Bn | 49.63 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 48.02 Bn | 27.05 Bn | - | 44.33 Bn |
| 10 | Ero Copper | 3.28 Bn | 2.91 Bn | 121.42 Mn | 941.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 275.62 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();