Western Midstream Partners (WES) Operating Expenses (2012 - 2026)
Western Midstream Partners' Operating Expenses was $714.95 million in Q2 2026, up 36.4% from $524.06 million a year earlier and up 7.9% from the prior quarter.
Western Midstream Partners (WES) Operating Expenses (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Western Midstream Partners' Operating Expenses was $2.65 billion through Jun 30, 2026, up 26.8% year-over-year; for FY2025, it was $2.32 billion, up 13.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.04 billion in FY2024 (+9.3%), $1.87 billion in FY2023 (-4.2%), $1.95 billion in FY2022 (+11.8%) and $1.75 billion in FY2021 (-18.0%).
- Quarterly Operating Expenses has moved between $403.45 million (Q1 2022) and $744.23 million (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for nine straight quarters, with growth averaging 17.0% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2025 (growth of 40.9%); the worst was Q2 2023 (a decline of 15.7%).
- Per Business Quant data, WES's Operating Expenses in the three quarters before Q2 2026 was $662.8 million (Q1 2026), $744.23 million (Q4 2025) and $525.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 104.58 Bn | 100.18 Bn | 4.84 Bn | 19.09 Bn |
| 2 | Williams Companies | 86.03 Bn | 84.75 Bn | 2.54 Bn | 1.87 Bn |
| 3 | Enterprise Products Partners | 80.00 Bn | 78.39 Bn | - | 16.13 Bn |
| 4 | Kinder Morgan | 74.74 Bn | 74.44 Bn | 3.07 Bn | 3.13 Bn |
| 5 | Energy Transfer | 69.45 Bn | 62.63 Bn | 7.40 Bn | 30.76 Bn |
| 6 | Tc Energy | 64.24 Bn | 60.32 Bn | 2.81 Bn | -1.06 Bn |
| 7 | Targa Resources | 62.85 Bn | 62.33 Bn | 2.14 Bn | 354.10 Mn |
| 8 | Cheniere Energy | 59.18 Bn | 54.01 Bn | 5.29 Bn | 1.44 Bn |
| 9 | Mplx | 59.17 Bn | 52.74 Bn | 2.91 Bn | 1.93 Bn |
| 10 | Western Midstream Partners | 17.70 Bn | 15.96 Bn | 1.11 Bn | 714.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 714.95 Mn |
| Mar 31, 2026 | 662.80 Mn |
| Dec 31, 2025 | 744.23 Mn |
| Sep 30, 2025 | 525.30 Mn |
| Jun 30, 2025 | 524.06 Mn |
| Mar 31, 2025 | 523.08 Mn |
| Dec 31, 2024 | 528.26 Mn |
| Sep 30, 2024 | 511.94 Mn |
| Jun 30, 2024 | 522.65 Mn |
| Mar 31, 2024 | 480.79 Mn |
| Dec 31, 2023 | 495.98 Mn |
| Sep 30, 2023 | 449.27 Mn |
| Jun 30, 2023 | 443.86 Mn |
| Mar 31, 2023 | 480.67 Mn |
| Dec 31, 2022 | 499.43 Mn |
| Sep 30, 2022 | 521.76 Mn |
| Jun 30, 2022 | 526.35 Mn |
| Mar 31, 2022 | 403.45 Mn |
| Dec 31, 2021 | 438.56 Mn |
| Sep 30, 2021 | 428.72 Mn |
Western Midstream 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=WES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WES", "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=WES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();