Plains All American Pipeline (PAA) Other Operating Expenses (2009 - 2026)
Plains All American Pipeline (PAA) recorded Other Operating Expenses of $314 million in Q3 2026, up 60.2% from $196 million a year earlier but down 18.9% from the prior quarter.
Plains All American Pipeline (PAA) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Plains All American Pipeline's Other Operating Expenses came in at $1.24 billion as of Sep 30, 2026, down 16.0% year-over-year; for FY2025, it was $1.1 billion, down 32.5% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of -23.9% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $1.63 billion in FY2024 (+74.7%), $933 million in FY2023 (-41.1%), $1.58 billion in FY2022 (-4.4%) and $1.66 billion in FY2021 (-61.6%).
- Quarterly Other Operating Expenses has ranged from $15 million in Q4 2023 to $666 million in Q4 2024 over the past five years.
- On a year-over-year basis, Other Operating Expenses rose in three of the last seven quarters, with an average decline of 6.7%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 106.6% in Q4 2022, against a decline of 97.7% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $387 million (Q2 2026), $248 million (Q1 2026) and $291 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enbridge | 106.26 Bn | 104.14 Bn | 4.35 Bn |
| 2 | Williams Companies | 86.41 Bn | 89.20 Bn | 2.59 Bn |
| 3 | Enterprise Products Partners | 82.58 Bn | 80.98 Bn | 14.00 Mn |
| 4 | Kinder Morgan | 71.13 Bn | 71.22 Bn | 2.97 Bn |
| 5 | Tc Energy | 67.40 Bn | 71.05 Bn | - |
| 6 | Energy Transfer | 66.89 Bn | 62.98 Bn | 6.57 Bn |
| 7 | Targa Resources | 63.77 Bn | 62.98 Bn | 2.02 Bn |
| 8 | Cheniere Energy | 63.04 Bn | 62.60 Bn | 2.97 Bn |
| 9 | Mplx | 58.00 Bn | 52.25 Bn | 3.19 Bn |
| 10 | Plains All American Pipeline | 17.30 Bn | 18.05 Bn | 1.14 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -8.00 Mn |
| Jun 30, 2026 | -59.00 Mn |
| Mar 31, 2026 | 53.00 Mn |
| Dec 31, 2025 | -10.00 Mn |
| Sep 30, 2025 | 92.00 Mn |
| Jun 30, 2025 | -42.00 Mn |
| Mar 31, 2025 | 13.00 Mn |
| Dec 31, 2024 | -157.00 Mn |
| Jun 30, 2024 | -2.00 Mn |
| Mar 31, 2024 | 11.53 Bn |
| Dec 31, 2023 | 8.00 Mn |
| Sep 30, 2023 | -7.00 Mn |
| Jun 30, 2023 | -3.00 Mn |
| Mar 31, 2023 | 154.00 Mn |
| Dec 31, 2022 | -315.00 Mn |
| Jun 30, 2022 | 3.00 Mn |
| Mar 31, 2022 | 42.00 Mn |
| Sep 30, 2021 | -221.00 Mn |
| Jun 30, 2021 | -369.00 Mn |
| Mar 31, 2021 | -2.00 Mn |
Plains All American Pipeline Other Operating 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=other-operating-expenses&ticker=PAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=PAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();