Enterprise Products Partners (EPD) Operating Expenses (2009 - 2026)
Enterprise Products Partners' Operating Expenses was $16.13 billion in Q2 2026, up 67.0% from $9.66 billion a year earlier and up 28.3% from the prior quarter.
Enterprise Products Partners (EPD) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Enterprise Products Partners' Operating Expenses was $50.98 billion through Jun 30, 2026, up 6.6% year-over-year; for FY2025, it was $45.69 billion, down 7.3% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $49.29 billion in FY2024 (+14.0%), $43.25 billion in FY2023 (-16.4%), $51.74 billion in FY2022 (+46.6%) and $35.29 billion in FY2021 (+56.2%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2009.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with growth averaging 5.0%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 77.4%); the worst was Q2 2023 (a decline of 36.2%).
- Per Business Quant data, EPD's Operating Expenses in the three quarters before Q2 2026 was $12.57 billion (Q1 2026), $11.85 billion (Q4 2025) and $10.43 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 | 16.13 Bn |
| Mar 31, 2026 | 12.57 Bn |
| Dec 31, 2025 | 11.85 Bn |
| Sep 30, 2025 | 10.43 Bn |
| Jun 30, 2025 | 9.66 Bn |
| Mar 31, 2025 | 13.75 Bn |
| Dec 31, 2024 | 12.34 Bn |
| Sep 30, 2024 | 12.09 Bn |
| Jun 30, 2024 | 11.82 Bn |
| Mar 31, 2024 | 13.04 Bn |
| Dec 31, 2023 | 12.82 Bn |
| Sep 30, 2023 | 10.43 Bn |
| Jun 30, 2023 | 9.19 Bn |
| Mar 31, 2023 | 10.81 Bn |
| Dec 31, 2022 | 12.01 Bn |
| Sep 30, 2022 | 13.87 Bn |
| Jun 30, 2022 | 14.40 Bn |
| Mar 31, 2022 | 11.46 Bn |
| Dec 31, 2021 | 10.10 Bn |
| Sep 30, 2021 | 9.46 Bn |
Enterprise Products Partners 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=EPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "EPD", "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=EPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();