Agnico Eagle Mines (AEM) Operating Leases (2018 - 2026)
Agnico Eagle Mines (AEM) recorded Operating Leases of $34.31 million in the quarter ended Jun 30, 2026, down 7.9% from $37.24 million a year earlier but up 5.3% from the prior quarter.
Agnico Eagle Mines (AEM) Operating Leases (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, Agnico Eagle Mines reported Operating Leases of $30.48 million, down 24.4% from the prior year.
- Annual Operating Leases has a five-year compound annual growth rate of 34.6% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Operating Leases came in at $40.31 million in the year ended Dec 31, 2024 (-13.1%), $46.39 million in the year ended Dec 31, 2023 (+27.2%), $36.47 million in the year ended Dec 31, 2022 (+10.5%) and $32.99 million in the year ended Dec 31, 2021 (+378.4%).
- Quarterly Operating Leases has ranged from $29.53 million in the quarter ended Sep 30, 2022 to $48.76 million in the quarter ended Sep 30, 2023 over the past five years.
- On a year-over-year basis, Operating Leases has declined for ten consecutive quarters, with an average decline of 12.0% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 378.4% in the quarter ended Dec 31, 2021, against a decline of 24.4% in the quarter ended Dec 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $32.57 million (quarter ended Mar 31, 2026), $30.48 million (quarter ended Dec 31, 2025) and $39.69 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - |
| 10 | AngloGold Ashanti | 46.03 Bn | 33.92 Bn | 1.70 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.31 Mn |
| Mar 31, 2026 | 32.57 Mn |
| Dec 31, 2025 | 94.72 Mn |
| Sep 30, 2025 | 39.69 Mn |
| Jun 30, 2025 | 37.24 Mn |
| Mar 31, 2025 | 40.02 Mn |
| Dec 31, 2024 | 98.92 Mn |
| Sep 30, 2024 | 46.35 Mn |
| Jun 30, 2024 | 40.87 Mn |
| Mar 31, 2024 | 41.69 Mn |
| Dec 31, 2023 | 115.15 Mn |
| Sep 30, 2023 | 48.76 Mn |
| Jun 30, 2023 | 47.96 Mn |
| Mar 31, 2023 | 42.64 Mn |
| Dec 31, 2022 | 114.88 Mn |
| Sep 30, 2022 | 29.53 Mn |
| Jun 30, 2022 | 34.33 Mn |
| Mar 31, 2022 | 36.10 Mn |
| Dec 31, 2021 | 98.45 Mn |
| Sep 30, 2021 | 32.34 Mn |
Agnico Eagle Mines 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=AEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "AEM", "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=AEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();