TotalEnergies SE (TTE) Operating Leases (2019 - 2025)
TotalEnergies SE (TTE) posted Operating Leases of $8.9 billion for the quarter ended Jun 30, 2026, unchanged from $8.91 billion a year earlier and up 4.9% from the prior quarter.
TotalEnergies SE (TTE) Operating Leases (2019 - 2025) Analysis & Trends
As of Dec 31, 2025, TotalEnergies SE's Operating Leases came in at $8.57 billion, up 3.6% from the prior year.
- Annual Operating Leases shows a five-year compound annual growth rate of 1.9% (years ended Dec 2020 to Dec 2025).
- In prior years, TotalEnergies SE's Operating Leases was $8.27 billion in the year ended Dec 31, 2024 (unchanged), $8.28 billion in the year ended Dec 31, 2023 (+2.2%), $8.1 billion in the year ended Dec 31, 2022 (+0.5%) and $8.06 billion in the year ended Dec 31, 2021 (+3.1%).
- Quarterly Operating Leases has run from a low of $7.67 billion in the quarter ended Sep 30, 2022 to a high of $8.91 billion in the quarter ended Jun 30, 2025 over five years.
- On a year-over-year basis, Operating Leases increased in five of the last eight quarters, with growth averaging 3.4%.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Jun 30, 2025, with growth of 11.2%; the weakest was the quarter ended Mar 31, 2024, with a decline of 1.5%.
- According to Business Quant data, Operating Leases for the three prior quarters was $8.49 billion (quarter ended Mar 31, 2026), $8.57 billion (quarter ended Dec 31, 2025) and $8.83 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 779.83 Bn | 736.31 Bn | - |
| 2 | Chevron | 463.69 Bn | 435.81 Bn | 33.45 Bn |
| 3 | Shell | 319.66 Bn | 179.93 Bn | - |
| 4 | TotalEnergies SE | 208.05 Bn | 79.13 Bn | 31,614.00 |
| 5 | Conocophillips | 186.47 Bn | 159.17 Bn | 12.81 Bn |
| 6 | Equinor Asa | 126.28 Bn | 39.13 Bn | - |
| 7 | Canadian Natural Resources | 117.10 Bn | 114.11 Bn | 8.84 Bn |
| 8 | Phillips 66 | 111.73 Bn | 95.51 Bn | 10.69 Bn |
| 9 | Suncor Energy | 96.42 Bn | 82.16 Bn | - |
| 10 | Eni Spa | 91.57 Bn | 31.21 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 8.53 Bn |
| Dec 31, 2024 | 8.27 Bn |
| Mar 31, 2024 | 8.01 Bn |
| Dec 31, 2023 | 8.28 Bn |
| Jun 30, 2023 | 8.09 Bn |
| Mar 31, 2023 | 8.13 Bn |
| Dec 31, 2022 | 8.10 Bn |
| Sep 30, 2022 | 7.67 Bn |
| Jun 30, 2022 | 7.96 Bn |
| Mar 31, 2022 | 8.03 Bn |
| Dec 31, 2021 | 8.06 Bn |
| Sep 30, 2021 | 7.79 Bn |
| Jun 30, 2021 | 7.70 Bn |
| Mar 31, 2021 | 7.75 Bn |
| Dec 31, 2020 | 7.81 Bn |
| Sep 30, 2020 | 7.50 Bn |
| Jun 30, 2020 | 7.38 Bn |
| Mar 31, 2020 | 7.31 Bn |
| Dec 31, 2019 | 7.16 Bn |
| Sep 30, 2019 | 6.89 Bn |
TotalEnergies SE 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=TTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "TTE", "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=TTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();