Energy Transfer (ET) Operating Expenses (2009 - 2026)
Energy Transfer (ET) posted Operating Expenses of $30.76 billion for Q2 2026, up 81.7% from $16.93 billion a year earlier and up 24.1% from the prior quarter.
Energy Transfer (ET) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Energy Transfer was $96.6 billion, up 35.4% year-over-year; for FY2025, it was $76.51 billion, up 4.0% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- In prior years, Energy Transfer's Operating Expenses was $73.53 billion in FY2024 (+4.6%), $70.29 billion in FY2023 (-14.4%), $82.14 billion in FY2022 (+40.1%) and $58.63 billion in FY2021 (+63.0%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2009.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 16.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 95.1%; the weakest was Q2 2023, with a decline of 30.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $24.79 billion (Q1 2026), $23.24 billion (Q4 2025) and $17.8 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 102.52 Bn | 100.06 Bn | 4.84 Bn | 19.09 Bn |
| 2 | Enterprise Products Partners | 79.27 Bn | 77.71 Bn | - | 16.13 Bn |
| 3 | Energy Transfer | 69.21 Bn | 62.65 Bn | 7.40 Bn | 30.76 Bn |
| 4 | Kinder Morgan | 68.17 Bn | 69.12 Bn | 3.07 Bn | 3.13 Bn |
| 5 | Tc Energy | 61.09 Bn | 64.16 Bn | 2.81 Bn | -1.06 Bn |
| 6 | Targa Resources | 59.48 Bn | 59.10 Bn | 2.14 Bn | 354.10 Mn |
| 7 | Mplx | 58.45 Bn | 52.01 Bn | 2.91 Bn | 1.93 Bn |
| 8 | Oneok | 55.88 Bn | 54.37 Bn | 2.81 Bn | 4.00 Mn |
| 9 | Cheniere Energy | 55.70 Bn | 55.83 Bn | 5.29 Bn | 1.44 Bn |
| 10 | Venture Global | 32.11 Bn | 26.66 Bn | 2.92 Bn | 2.39 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.76 Bn |
| Mar 31, 2026 | 24.79 Bn |
| Dec 31, 2025 | 23.24 Bn |
| Sep 30, 2025 | 17.80 Bn |
| Jun 30, 2025 | 16.93 Bn |
| Mar 31, 2025 | 18.53 Bn |
| Dec 31, 2024 | 17.26 Bn |
| Sep 30, 2024 | 18.59 Bn |
| Jun 30, 2024 | 18.43 Bn |
| Mar 31, 2024 | 19.25 Bn |
| Dec 31, 2023 | 18.37 Bn |
| Sep 30, 2023 | 18.51 Bn |
| Jun 30, 2023 | 16.49 Bn |
| Mar 31, 2023 | 16.93 Bn |
| Dec 31, 2022 | 18.70 Bn |
| Sep 30, 2022 | 20.97 Bn |
| Jun 30, 2022 | 23.83 Bn |
| Mar 31, 2022 | 18.65 Bn |
| Dec 31, 2021 | 16.97 Bn |
| Sep 30, 2021 | 15.23 Bn |
Energy Transfer Operating 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=operating-expenses&ticker=ET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ET", "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-expenses&ticker=ET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();