Plains All American Pipeline (PAA) Cost of Revenue (2009 - 2026)
Plains All American Pipeline's Cost of Revenue came in at $16.56 billion for Q2 2026, up 69.7% from $9.76 billion a year earlier and up 44.1% from the prior quarter.
Plains All American Pipeline (PAA) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Plains All American Pipeline reported Cost of Revenue of $48.21 billion, up 12.4% year-over-year; for FY2025, it came in at $40.43 billion, down 10.5% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $45.16 billion in FY2024 (+2.8%), $43.94 billion in FY2023 (-17.4%), $53.18 billion in FY2022 (+38.1%) and $38.5 billion in FY2021 (+88.5%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue in data going back to Q2 2009.
- Year-over-year, Cost of Revenue increased in four of the last eight quarters, with growth averaging 5.1%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q4 2021 (growth of 116.6%), and the weakest in Q2 2023 (a decline of 31.2%).
- Business Quant data shows PAA's Cost of Revenue at $11.49 billion (Q1 2026), $9.57 billion (Q4 2025) and $10.59 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 100.40 Bn | 97.94 Bn | 4.84 Bn | 16.35 Bn |
| 2 | Williams Companies | 86.28 Bn | 85.00 Bn | 2.54 Bn | 515.00 Mn |
| 3 | Enterprise Products Partners | 78.15 Bn | 76.58 Bn | - | - |
| 4 | Energy Transfer | 70.55 Bn | 63.99 Bn | 7.40 Bn | 26.94 Bn |
| 5 | Kinder Morgan | 69.13 Bn | 70.08 Bn | 3.07 Bn | 1.41 Bn |
| 6 | Tc Energy | 61.50 Bn | 64.57 Bn | 2.81 Bn | 52.77 Mn |
| 7 | Targa Resources | 60.39 Bn | 60.01 Bn | 2.14 Bn | 2.30 Bn |
| 8 | Mplx | 57.19 Bn | 50.75 Bn | 2.91 Bn | 405.00 Mn |
| 9 | Cheniere Energy | 55.74 Bn | 55.87 Bn | 5.29 Bn | 439.00 Mn |
| 10 | Plains All American Pipeline | 16.76 Bn | 14.02 Bn | 1.14 Bn | 16.56 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.56 Bn |
| Mar 31, 2026 | 11.49 Bn |
| Dec 31, 2025 | 9.57 Bn |
| Sep 30, 2025 | 10.59 Bn |
| Jun 30, 2025 | 9.76 Bn |
| Mar 31, 2025 | 10.52 Bn |
| Dec 31, 2024 | 11.08 Bn |
| Sep 30, 2024 | 11.54 Bn |
| Jun 30, 2024 | 11.84 Bn |
| Mar 31, 2024 | 10.92 Bn |
| Dec 31, 2023 | 10.97 Bn |
| Sep 30, 2023 | 11.11 Bn |
| Jun 30, 2023 | 10.54 Bn |
| Mar 31, 2023 | 11.32 Bn |
| Dec 31, 2022 | 12.00 Bn |
| Sep 30, 2022 | 13.07 Bn |
| Jun 30, 2022 | 15.32 Bn |
| Mar 31, 2022 | 12.79 Bn |
| Dec 31, 2021 | 11.76 Bn |
| Sep 30, 2021 | 10.07 Bn |
Plains All American Pipeline Cost of Revenue 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=cost-of-revenue&ticker=PAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();