Pembina Pipeline (PBA) Total Liabilities (2011 - 2026)
Pembina Pipeline (PBA) posted Total Liabilities of $19.18 billion for Q2 2026, up 4.3% from $18.39 billion a year earlier but down 0.5% from the prior quarter.
Pembina Pipeline (PBA) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Pembina Pipeline's Total Liabilities came in at $13.44 billion, down 0.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In prior years, Pembina Pipeline's Total Liabilities was $13.48 billion in FY2024 (+8.2%), $12.46 billion in FY2023, -$12.12 trillion in FY2022 and -$11.44 trillion in FY2021.
- Quarterly Total Liabilities has run from a low of -$11.61 trillion in Q4 2022 to a high of $19.28 billion in Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last ten quarters, with growth averaging 5.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2024, with growth of 19.9%; the weakest was Q1 2022, with a decline of 46.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $19.28 billion (Q1 2026), $13.47 billion (Q4 2025) and $18.44 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 104.84 Bn | 100.44 Bn | 4.84 Bn | 115.09 Bn |
| 2 | Williams Companies | 89.20 Bn | 87.92 Bn | 2.54 Bn | 47.42 Bn |
| 3 | Enterprise Products Partners | 79.12 Bn | 77.51 Bn | - | 50.69 Bn |
| 4 | Kinder Morgan | 75.45 Bn | 75.15 Bn | 3.07 Bn | 41.18 Bn |
| 5 | Energy Transfer | 69.26 Bn | 62.44 Bn | 7.40 Bn | 97.65 Bn |
| 6 | Tc Energy | 64.74 Bn | 60.82 Bn | 2.81 Bn | - |
| 7 | Targa Resources | 63.52 Bn | 63.00 Bn | 2.14 Bn | 24.72 Bn |
| 8 | Cheniere Energy | 59.48 Bn | 54.30 Bn | 5.29 Bn | 36.48 Bn |
| 9 | Mplx | 59.26 Bn | 52.82 Bn | 2.91 Bn | 28.72 Bn |
| 10 | Pembina Pipeline | 29.43 Bn | 28.88 Bn | 933.00 Mn | 19.18 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.18 Bn |
| Mar 31, 2026 | 19.28 Bn |
| Dec 31, 2025 | 13.72 Bn |
| Sep 30, 2025 | 18.44 Bn |
| Jun 30, 2025 | 18.39 Bn |
| Mar 31, 2025 | 18.14 Bn |
| Dec 31, 2024 | 12.86 Bn |
| Sep 30, 2024 | 18.39 Bn |
| Jun 30, 2024 | 18.24 Bn |
| Mar 31, 2024 | 17.30 Bn |
| Dec 31, 2023 | 12.70 Bn |
| Dec 31, 2022 | 11.63 Bn |
| Dec 31, 2021 | 13.46 Bn |
| Dec 31, 2020 | 12.91 Bn |
| Dec 31, 2019 | 12.21 Bn |
| Dec 31, 2018 | 9.04 Bn |
| Dec 31, 2017 | 9.38 Bn |
| Sep 30, 2017 | 7.93 Bn |
| Jun 30, 2017 | 1.48 Bn |
| Dec 31, 2016 | 4.99 Bn |
Pembina 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=PBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PBA", "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=PBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();