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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 22.23 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 7.81 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 15.50 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 42.33 Bn |
| 10 | Ero Copper | 3.90 Bn | 3.54 Bn | 121.42 Mn | 941.89 Mn |
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 | 866.95 Mn |
| Sep 30, 2024 | 800.63 Mn |
| Jun 30, 2024 | 777.15 Mn |
| Mar 31, 2024 | 726.25 Mn |
| Dec 31, 2023 | 702.36 Mn |
| Sep 30, 2023 | 668.36 Mn |
| Jun 30, 2023 | 678.35 Mn |
| Mar 31, 2023 | 637.91 Mn |
| Dec 31, 2022 | 645.91 Mn |
| Sep 30, 2022 | 619.00 Mn |
| Jun 30, 2022 | 628.66 Mn |
| Mar 31, 2022 | 634.18 Mn |
| Dec 31, 2021 | 294.27 Mn |
| Sep 30, 2021 | 275.62 Mn |
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_KEY
import 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();