Teck Resources (TECK) Operating Leases (2018 - 2026)
Teck Resources (TECK) posted Operating Leases of $555.93 million for Q2 2026, up 1.1% from $549.94 million a year earlier but down 1.0% from the prior quarter.
Teck Resources (TECK) Operating Leases (2018 - 2026) Analysis & Trends
At the end of FY2025, Teck Resources' Operating Leases came in at $3.55 billion, down 6.9% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of 45.5% (FY2020 to FY2025).
- In prior years, Teck Resources' Operating Leases was $3.81 billion in FY2024 (-33.6%), $5.74 billion in FY2023 (+0.5%), $5.71 billion in FY2022 and $41.49 million in FY2021 (-92.4%).
- Quarterly Operating Leases has run from a low of $41.25 million in Q4 2021 to a high of $656.56 million in Q2 2024 over five years.
- On a year-over-year basis, Operating Leases has increased in each of the last three quarters, with growth averaging 2.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q4 2022, with growth of 684.0%; the weakest was Q1 2023, with a decline of 25.9%.
- According to Business Quant data, Operating Leases for the three prior quarters was $561.49 million (Q1 2026), $565.78 million (Q4 2025) and $547.88 million (Q3 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 | Teck Resources | 31.78 Bn | 13.51 Bn | 1.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 541.21 Mn |
| Mar 31, 2026 | 552.83 Mn |
| Dec 31, 2025 | 576.14 Mn |
| Sep 30, 2025 | 541.81 Mn |
| Jun 30, 2025 | 556.96 Mn |
| Mar 31, 2025 | 556.29 Mn |
| Dec 31, 2024 | 540.77 Mn |
| Sep 30, 2024 | 558.15 Mn |
| Jun 30, 2024 | 655.51 Mn |
| Mar 31, 2024 | 645.69 Mn |
| Dec 31, 2023 | 654.59 Mn |
| Sep 30, 2023 | 348.38 Mn |
| Jun 30, 2023 | 328.30 Mn |
| Mar 31, 2023 | 327.62 Mn |
| Dec 31, 2022 | 323.94 Mn |
| Sep 30, 2022 | 411.72 Mn |
| Jun 30, 2022 | 427.69 Mn |
| Mar 31, 2022 | 448.64 Mn |
| Dec 31, 2021 | 444.90 Mn |
| Sep 30, 2021 | 446.93 Mn |
Teck Resources 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=TECK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "TECK", "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=TECK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();