Plains All American Pipeline (PAA) Interest Expenses (2009 - 2026)
Plains All American Pipeline (PAA) posted Interest Expenses of $153 million for Q2 2026, up 15.0% from $133 million a year earlier but down 8.4% from the prior quarter.
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Analysis
Plains All American Pipeline (PAA) Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Plains All American Pipeline was $614 million, up 26.6% year-over-year; for FY2025, it was $554 million, up 28.8% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In prior years, Plains All American Pipeline's Interest Expenses was $430 million in FY2024 (+11.4%), $386 million in FY2023 (-4.7%), $405 million in FY2022 (-4.7%) and $425 million in FY2021 (-2.5%).
- Quarterly Interest Expenses has run from a low of $95 million in Q2 2023 to a high of $167 million in Q1 2026 over five years.
- On a year-over-year basis, Interest Expenses has increased in each of the last nine quarters, with growth averaging 24.3% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q4 2025, with growth of 42.0%; the weakest was Q1 2023, with a decline of 8.4%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $167 million (Q1 2026), $159 million (Q4 2025) and $135 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 101.53 Bn | 99.08 Bn | 4.84 Bn | 1.01 Bn |
| 2 | Enterprise Products Partners | 76.92 Bn | 75.35 Bn | - | 384.00 Mn |
| 3 | Energy Transfer | 67.97 Bn | 61.41 Bn | 7.40 Bn | 934.00 Mn |
| 4 | Kinder Morgan | 67.10 Bn | 68.05 Bn | 3.07 Bn | - |
| 5 | Tc Energy | 60.19 Bn | 63.26 Bn | 2.81 Bn | 620.99 Mn |
| 6 | Targa Resources | 57.97 Bn | 57.59 Bn | 2.14 Bn | - |
| 7 | Mplx | 57.16 Bn | 50.72 Bn | 2.91 Bn | 289.00 Mn |
| 8 | Cheniere Energy | 55.61 Bn | 55.74 Bn | 5.29 Bn | 287.00 Mn |
| 9 | Oneok | 53.75 Bn | 52.24 Bn | 2.81 Bn | 434.00 Mn |
| 10 | Plains All American Pipeline | 16.74 Bn | 14.00 Bn | 1.14 Bn | 153.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.00 Mn |
| Mar 31, 2026 | 167.00 Mn |
| Dec 31, 2025 | 159.00 Mn |
| Sep 30, 2025 | 135.00 Mn |
| Jun 30, 2025 | 133.00 Mn |
| Mar 31, 2025 | 127.00 Mn |
| Dec 31, 2024 | 112.00 Mn |
| Sep 30, 2024 | 113.00 Mn |
| Jun 30, 2024 | 111.00 Mn |
| Mar 31, 2024 | 95.00 Mn |
| Dec 31, 2023 | 96.00 Mn |
| Sep 30, 2023 | 97.00 Mn |
| Jun 30, 2023 | 95.00 Mn |
| Mar 31, 2023 | 98.00 Mn |
| Dec 31, 2022 | 100.00 Mn |
| Sep 30, 2022 | 99.00 Mn |
| Jun 30, 2022 | 99.00 Mn |
| Mar 31, 2022 | 107.00 Mn |
| Dec 31, 2021 | 106.00 Mn |
| Sep 30, 2021 | 106.00 Mn |
API Access
Plains All American Pipeline Interest 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=interest-expenses&ticker=PAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=PAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();