Plains All American Pipeline (PAA) Total Non-Current Liabilities (2009 - 2026)
Plains All American Pipeline (PAA) recorded Total Non-Current Liabilities of $10.47 billion in Q3 2026, up 7.4% from $9.75 billion a year earlier and up 15.5% from the prior quarter.
Plains All American Pipeline (PAA) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Plains All American Pipeline reported Total Non-Current Liabilities of $12.16 billion, up 42.8% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $8.52 billion in FY2024 (-1.2%), $8.62 billion in FY2023 (-0.6%), $8.68 billion in FY2022 (-9.3%) and $9.57 billion in FY2021 (-8.9%).
- Quarterly Total Non-Current Liabilities has ranged from $8.47 billion in Q2 2024 to $12.27 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in six of the last eight quarters, with growth averaging 13.9%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 42.8% in Q4 2025, against a decline of 12.8% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.07 billion (Q2 2026), $12.27 billion (Q1 2026) and $12.16 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 106.26 Bn | 104.14 Bn | 4.35 Bn | 108.93 Bn |
| 2 | Williams Companies | 86.41 Bn | 89.20 Bn | 2.59 Bn | 54.65 Bn |
| 3 | Enterprise Products Partners | 82.58 Bn | 80.98 Bn | 14.00 Mn | 51.46 Bn |
| 4 | Kinder Morgan | 71.13 Bn | 71.22 Bn | 2.97 Bn | 37.39 Bn |
| 5 | Tc Energy | 67.40 Bn | 71.05 Bn | - | - |
| 6 | Energy Transfer | 66.89 Bn | 62.98 Bn | 6.57 Bn | 97.24 Bn |
| 7 | Targa Resources | 63.77 Bn | 62.98 Bn | 2.02 Bn | 25.22 Bn |
| 8 | Cheniere Energy | 63.04 Bn | 62.60 Bn | 2.97 Bn | 34.35 Bn |
| 9 | Mplx | 58.00 Bn | 52.25 Bn | 3.19 Bn | 29.11 Bn |
| 10 | Plains All American Pipeline | 17.30 Bn | 18.05 Bn | 1.14 Bn | 10.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.47 Bn |
| Jun 30, 2026 | 9.07 Bn |
| Mar 31, 2026 | 12.27 Bn |
| Dec 31, 2025 | 12.16 Bn |
| Sep 30, 2025 | 9.75 Bn |
| Jun 30, 2025 | 9.53 Bn |
| Mar 31, 2025 | 9.51 Bn |
| Dec 31, 2024 | 8.52 Bn |
| Sep 30, 2024 | 8.49 Bn |
| Jun 30, 2024 | 8.47 Bn |
| Mar 31, 2024 | 8.57 Bn |
| Dec 31, 2023 | 8.62 Bn |
| Sep 30, 2023 | 8.58 Bn |
| Jun 30, 2023 | 8.65 Bn |
| Mar 31, 2023 | 8.61 Bn |
| Dec 31, 2022 | 8.68 Bn |
| Sep 30, 2022 | 9.38 Bn |
| Jun 30, 2022 | 9.29 Bn |
| Mar 31, 2022 | 9.22 Bn |
| Dec 31, 2021 | 9.57 Bn |
Plains All American Pipeline Total Non-Current 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-non-current-liabilities&ticker=PAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();