Pan American Silver (PAAS) Operating Leases (2011 - 2026)
Pan American Silver (PAAS) posted Operating Leases of $50 million for the quarter ended Jun 30, 2026, down 21.8% from $63.9 million a year earlier and down 2.0% from the prior quarter.
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Analysis
Pan American Silver (PAAS) Operating Leases (2011 - 2026) Analysis & Trends
As of Dec 31, 2025, Pan American Silver's Operating Leases came in at $53 million, up 29.3% from the prior year.
- Annual Operating Leases shows a five-year compound annual growth rate of 20.6% (years ended Dec 2020 to Dec 2025).
- In prior years, Pan American Silver's Operating Leases was $41 million in the year ended Dec 31, 2024 (-21.5%), $52.2 million in the year ended Dec 31, 2023 (+167.7%), $19.5 million in the year ended Dec 31, 2022 (-2.0%) and $19.9 million in the year ended Dec 31, 2021 (-4.0%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Operating Leases since the quarter ended Dec 31, 2024.
- On a year-over-year basis, Operating Leases increased in four of the last eight quarters, with growth averaging 6.6%.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Sep 30, 2021, with growth of 267.8%; the weakest was the quarter ended Jun 30, 2026, with a decline of 21.8%.
- According to Business Quant data, Operating Leases for the three prior quarters was $51 million (quarter ended Mar 31, 2026), $53 million (quarter ended Dec 31, 2025) and $90.4 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 | 168.96 Bn | 147.82 Bn | 2.90 Bn |
| 3 | Newmont | 123.37 Bn | 91.54 Bn | 4.03 Bn |
| 4 | Ternium | 107.07 Bn | 72.12 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 101.67 Bn | 97.82 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 92.92 Bn | 92.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.09 Bn | 53.83 Bn | 2.90 Bn |
| 8 | Nucor | 53.61 Bn | 44.15 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 51.72 Bn | 32.74 Bn | - |
| 10 | Pan American Silver | 19.47 Bn | 14.32 Bn | 457,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.00 Mn |
| Mar 31, 2026 | 51.00 Mn |
| Dec 31, 2025 | 53.00 Mn |
| Sep 30, 2025 | 90.40 Mn |
| Jun 30, 2025 | 63.90 Mn |
| Mar 31, 2025 | 53.80 Mn |
| Dec 31, 2024 | 41.00 Mn |
| Sep 30, 2024 | 61.60 Mn |
| Jun 30, 2024 | 58.80 Mn |
| Mar 31, 2024 | 58.20 Mn |
| Dec 31, 2023 | 52.20 Mn |
| Sep 30, 2023 | 49.80 Mn |
| Jun 30, 2023 | 57.50 Mn |
| Mar 31, 2023 | -65.90 Mn |
| Dec 31, 2022 | 19.50 Mn |
| Sep 30, 2022 | 21.70 Mn |
| Jun 30, 2022 | 18.97 Mn |
| Mar 31, 2022 | 20.62 Mn |
| Dec 31, 2021 | 19.90 Mn |
| Sep 30, 2021 | 18.24 Mn |
API Access
Pan American Silver 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=PAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "PAAS", "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=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();