TotalEnergies SE (TTE) Accumulated Expenses (2009 - 2026)
TotalEnergies SE's Accumulated Expenses came in at $43.11 billion for the quarter ended Jun 30, 2026, up 24.3% from $34.67 billion a year earlier but down 9.3% from the prior quarter.
TotalEnergies SE (TTE) Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, TotalEnergies SE's Accumulated Expenses was $36.34 billion, up 1.1% from the prior year.
- Accumulated Expenses carries a five-year compound annual growth rate of 10.1% (years ended Dec 2020 to Dec 2025).
- Going back by year, Accumulated Expenses was $35.96 billion in the year ended Dec 31, 2024 (-2.1%), $36.73 billion in the year ended Dec 31, 2023 (-29.7%), $52.28 billion in the year ended Dec 31, 2022 (+22.1%) and $42.8 billion in the year ended Dec 31, 2021 (+90.5%).
- The five-year range for quarterly Accumulated Expenses is -$32.95 billion (the quarter ended Mar 31, 2024) to $80.47 billion (the quarter ended Sep 30, 2022).
- Year-over-year, Accumulated Expenses has increased for five consecutive quarters, with growth averaging 9.7% over the last seven quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in the quarter ended Mar 31, 2022 (growth of 158.2%), and the weakest in the quarter ended Sep 30, 2023 (a decline of 53.5%).
- Business Quant data shows TTE's Accumulated Expenses at $47.51 billion (quarter ended Mar 31, 2026), $36.34 billion (quarter ended Dec 31, 2025) and $35.27 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 694.97 Bn | 658.18 Bn | - |
| 2 | Shell | 570.13 Bn | 500.87 Bn | 92.16 Bn |
| 3 | Chevron | 418.82 Bn | 396.62 Bn | 33.45 Bn |
| 4 | TotalEnergies SE | 189.94 Bn | 73.07 Bn | 61.77 Bn |
| 5 | Eni Spa | 176.22 Bn | 126.56 Bn | - |
| 6 | Conocophillips | 161.10 Bn | 133.81 Bn | 12.81 Bn |
| 7 | Phillips 66 | 110.98 Bn | 99.96 Bn | 8.38 Bn |
| 8 | Equinor Asa | 107.54 Bn | 22.06 Bn | - |
| 9 | Canadian Natural Resources | 103.35 Bn | 100.30 Bn | 15.40 Bn |
| 10 | Suncor Energy | 86.21 Bn | 72.00 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.11 Bn |
| Mar 31, 2026 | 47.51 Bn |
| Dec 31, 2025 | 36.34 Bn |
| Sep 30, 2025 | 35.27 Bn |
| Jun 30, 2025 | 34.67 Bn |
| Mar 31, 2025 | 32.51 Bn |
| Dec 31, 2024 | 35.96 Bn |
| Sep 30, 2024 | -34.72 Bn |
| Jun 30, 2024 | 33.44 Bn |
| Mar 31, 2024 | -32.95 Bn |
| Dec 31, 2023 | 36.73 Bn |
| Sep 30, 2023 | -37.41 Bn |
| Jun 30, 2023 | 38.61 Bn |
| Mar 31, 2023 | 42.58 Bn |
| Dec 31, 2022 | 52.28 Bn |
| Sep 30, 2022 | 80.47 Bn |
| Jun 30, 2022 | 62.50 Bn |
| Mar 31, 2022 | 56.97 Bn |
| Dec 31, 2021 | 42.80 Bn |
| Sep 30, 2021 | 45.48 Bn |
TotalEnergies SE Accumulated Expenses 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=accumulated-expenses&ticker=TTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();