Plains All American Pipeline (PAA) Total Liabilities (2009 - 2026)
Plains All American Pipeline (PAA) posted Total Liabilities of $14.93 billion for Q2 2026, up 5.1% from $14.21 billion a year earlier but down 20.7% from the prior quarter.
Plains All American Pipeline (PAA) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Plains All American Pipeline's Total Liabilities came in at $17.09 billion, up 26.9% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In prior years, Plains All American Pipeline's Total Liabilities was $13.47 billion in FY2024 (-1.2%), $13.62 billion in FY2023 (-6.5%), $14.57 billion in FY2022 (-7.8%) and $15.8 billion in FY2021 (+7.0%).
- Quarterly Total Liabilities has run from a low of $13.3 billion in Q2 2023 to a high of $18.82 billion in Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last six quarters, with growth averaging 9.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2026, with growth of 32.5%; the weakest was Q1 2023, with a decline of 21.4%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $18.82 billion (Q1 2026), $17.09 billion (Q4 2025) and $15.11 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 102.52 Bn | 100.06 Bn | 4.84 Bn | 118.23 Bn |
| 2 | Enterprise Products Partners | 79.27 Bn | 77.71 Bn | - | 50.69 Bn |
| 3 | Energy Transfer | 69.21 Bn | 62.65 Bn | 7.40 Bn | 97.65 Bn |
| 4 | Kinder Morgan | 68.17 Bn | 69.12 Bn | 3.07 Bn | 41.18 Bn |
| 5 | Tc Energy | 61.09 Bn | 64.16 Bn | 2.81 Bn | - |
| 6 | Targa Resources | 59.48 Bn | 59.10 Bn | 2.14 Bn | 24.72 Bn |
| 7 | Mplx | 58.45 Bn | 52.01 Bn | 2.91 Bn | 28.72 Bn |
| 8 | Oneok | 55.88 Bn | 54.37 Bn | 2.81 Bn | 45.51 Bn |
| 9 | Cheniere Energy | 55.70 Bn | 55.83 Bn | 5.29 Bn | 36.48 Bn |
| 10 | Plains All American Pipeline | 17.31 Bn | 14.57 Bn | 1.14 Bn | 14.93 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.93 Bn |
| Mar 31, 2026 | 18.82 Bn |
| Dec 31, 2025 | 17.09 Bn |
| Sep 30, 2025 | 15.11 Bn |
| Jun 30, 2025 | 14.21 Bn |
| Mar 31, 2025 | 14.20 Bn |
| Dec 31, 2024 | 13.47 Bn |
| Sep 30, 2024 | 13.62 Bn |
| Jun 30, 2024 | 13.88 Bn |
| Mar 31, 2024 | 13.71 Bn |
| Dec 31, 2023 | 13.62 Bn |
| Sep 30, 2023 | 14.18 Bn |
| Jun 30, 2023 | 13.30 Bn |
| Mar 31, 2023 | 13.97 Bn |
| Dec 31, 2022 | 14.57 Bn |
| Sep 30, 2022 | 14.71 Bn |
| Jun 30, 2022 | 16.17 Bn |
| Mar 31, 2022 | 17.79 Bn |
| Dec 31, 2021 | 15.80 Bn |
| Sep 30, 2021 | 14.90 Bn |
Plains All American Pipeline 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=PAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PAA", "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=PAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();