Ero Copper (ERO) Operating Leases (2020 - 2026)
Ero Copper (ERO) posted Operating Leases of $5.02 million for the quarter ended Jun 30, 2026, down 46.4% from $9.36 million a year earlier and down 22.7% from the prior quarter.
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Analysis
Ero Copper (ERO) Operating Leases (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Ero Copper's Operating Leases came in at $8.95 million, up 28.2% from the prior year.
- Annual Operating Leases shows a five-year compound annual growth rate of 91.7% (years ended Dec 2020 to Dec 2025).
- In prior years, Ero Copper's Operating Leases was $6.98 million in the year ended Dec 31, 2024 (-18.9%), $8.61 million in the year ended Dec 31, 2023 (+81.6%), $4.74 million in the year ended Dec 31, 2022 (+97.6%) and $2.4 million in the year ended Dec 31, 2021 (+593.4%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Operating Leases since the quarter ended Sep 30, 2023.
- On a year-over-year basis, Operating Leases increased in five of the last eight quarters, with growth averaging 10.2%.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Dec 31, 2021, with growth of 593.4%; the weakest was the quarter ended Jun 30, 2026, with a decline of 46.4%.
- According to Business Quant data, Operating Leases for the three prior quarters was $6.5 million (quarter ended Mar 31, 2026), $8.95 million (quarter ended Dec 31, 2025) and $9.39 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - |
| 10 | Ero Copper | 3.90 Bn | 3.54 Bn | 121.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.02 Mn |
| Mar 31, 2026 | 6.50 Mn |
| Dec 31, 2025 | 8.95 Mn |
| Sep 30, 2025 | 9.39 Mn |
| Jun 30, 2025 | 9.36 Mn |
| Mar 31, 2025 | 8.43 Mn |
| Dec 31, 2024 | 6.98 Mn |
| Sep 30, 2024 | 8.67 Mn |
| Jun 30, 2024 | 6.93 Mn |
| Mar 31, 2024 | 7.59 Mn |
| Dec 31, 2023 | 8.61 Mn |
| Sep 30, 2023 | 4.63 Mn |
| Jun 30, 2023 | 5.68 Mn |
| Mar 31, 2023 | 4.67 Mn |
| Dec 31, 2022 | 4.74 Mn |
| Sep 30, 2022 | 2.10 Mn |
| Jun 30, 2022 | 1.80 Mn |
| Mar 31, 2022 | 2.50 Mn |
| Dec 31, 2021 | 2.40 Mn |
| Sep 30, 2021 | 2.40 Mn |
API Access
Ero Copper Operating Leases 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=operating-leases&ticker=ERO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ERO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();