Western Midstream Partners (WES) Total Liabilities (2012 - 2026)
Western Midstream Partners' Total Liabilities came in at $11.92 billion for Q2 2026, up 34.4% from $8.87 billion a year earlier and up 4.4% from the prior quarter.
Western Midstream Partners (WES) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Western Midstream Partners' Total Liabilities was $10.84 billion, up 10.9% from FY2024.
- Total Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $9.77 billion in FY2024 (+3.2%), $9.47 billion in FY2023 (+16.0%), $8.16 billion in FY2022 (-0.2%) and $8.18 billion in FY2021 (-8.5%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2012.
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 10.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2026 (growth of 34.4%), and the weakest in Q4 2021 (a decline of 8.5%).
- Business Quant data shows WES's Total Liabilities at $11.42 billion (Q1 2026), $10.84 billion (Q4 2025) and $8.8 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 105.11 Bn | 100.70 Bn | 4.84 Bn | 115.09 Bn |
| 2 | Williams Companies | 89.22 Bn | 87.94 Bn | 2.54 Bn | 47.42 Bn |
| 3 | Enterprise Products Partners | 79.39 Bn | 77.78 Bn | - | 50.69 Bn |
| 4 | Kinder Morgan | 75.83 Bn | 75.53 Bn | 3.07 Bn | 41.18 Bn |
| 5 | Energy Transfer | 69.41 Bn | 62.59 Bn | 7.40 Bn | 97.65 Bn |
| 6 | Tc Energy | 65.14 Bn | 61.22 Bn | 2.81 Bn | - |
| 7 | Targa Resources | 63.37 Bn | 62.85 Bn | 2.14 Bn | 24.72 Bn |
| 8 | Mplx | 59.44 Bn | 53.00 Bn | 2.91 Bn | 28.72 Bn |
| 9 | Cheniere Energy | 59.43 Bn | 54.26 Bn | 5.29 Bn | 36.48 Bn |
| 10 | Western Midstream Partners | 17.85 Bn | 16.10 Bn | 1.11 Bn | 11.92 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.92 Bn |
| Mar 31, 2026 | 11.42 Bn |
| Dec 31, 2025 | 10.84 Bn |
| Sep 30, 2025 | 8.80 Bn |
| Jun 30, 2025 | 8.87 Bn |
| Mar 31, 2025 | 9.17 Bn |
| Dec 31, 2024 | 9.77 Bn |
| Sep 30, 2024 | 9.60 Bn |
| Jun 30, 2024 | 8.76 Bn |
| Mar 31, 2024 | 8.89 Bn |
| Dec 31, 2023 | 9.47 Bn |
| Sep 30, 2023 | 8.67 Bn |
| Jun 30, 2023 | 8.20 Bn |
| Mar 31, 2023 | 8.01 Bn |
| Dec 31, 2022 | 8.16 Bn |
| Sep 30, 2022 | 8.47 Bn |
| Jun 30, 2022 | 8.08 Bn |
| Mar 31, 2022 | 8.18 Bn |
| Dec 31, 2021 | 8.18 Bn |
| Sep 30, 2021 | 8.32 Bn |
Western Midstream Partners Total Liabilities 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=total-liabilities&ticker=WES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=WES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();