Plains All American Pipeline (PAA) Property, Plant & Equipment (Net) (2009 - 2026)
Plains All American Pipeline's Property, Plant & Equipment (Net) came in at $16.78 billion for Q2 2026, up 18.4% from $14.18 billion a year earlier but down 0.5% from the prior quarter.
Plains All American Pipeline (PAA) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Plains All American Pipeline's Property, Plant & Equipment (Net) was $16.86 billion, up 25.4% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $13.45 billion in FY2024 (-14.8%), $15.78 billion in FY2023 (+3.5%), $15.25 billion in FY2022 (+2.3%) and $14.9 billion in FY2021 (+2.0%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $13.08 billion (Q3 2021) to $16.87 billion (Q1 2026).
- Year-over-year, Property, Plant & Equipment (Net) has increased for three consecutive quarters, with growth averaging 2.3% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2025 (growth of 25.4%), and the weakest in Q4 2024 (a decline of 14.8%).
- Business Quant data shows PAA's Property, Plant & Equipment (Net) at $16.87 billion (Q1 2026), $16.86 billion (Q4 2025) and $14.14 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 100.40 Bn | 97.94 Bn | 4.84 Bn | 99.52 Bn |
| 2 | Williams Companies | 86.28 Bn | 85.00 Bn | 2.54 Bn | 44.41 Bn |
| 3 | Enterprise Products Partners | 78.15 Bn | 76.58 Bn | - | 52.22 Bn |
| 4 | Energy Transfer | 70.55 Bn | 63.99 Bn | 7.40 Bn | 104.10 Bn |
| 5 | Kinder Morgan | 69.13 Bn | 70.08 Bn | 3.07 Bn | 40.52 Bn |
| 6 | Tc Energy | 61.50 Bn | 64.57 Bn | 2.81 Bn | 52.99 Bn |
| 7 | Targa Resources | 60.39 Bn | 60.01 Bn | 2.14 Bn | 23.06 Bn |
| 8 | Mplx | 57.19 Bn | 50.75 Bn | 2.91 Bn | 22.65 Bn |
| 9 | Cheniere Energy | 55.74 Bn | 55.87 Bn | 5.29 Bn | 37.15 Bn |
| 10 | Plains All American Pipeline | 16.76 Bn | 14.02 Bn | 1.14 Bn | 16.78 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.78 Bn |
| Mar 31, 2026 | 16.87 Bn |
| Dec 31, 2025 | 16.86 Bn |
| Sep 30, 2025 | 14.14 Bn |
| Jun 30, 2025 | 14.18 Bn |
| Mar 31, 2025 | 16.06 Bn |
| Dec 31, 2024 | 13.45 Bn |
| Sep 30, 2024 | 15.65 Bn |
| Jun 30, 2024 | 15.62 Bn |
| Mar 31, 2024 | 15.67 Bn |
| Dec 31, 2023 | 15.78 Bn |
| Sep 30, 2023 | 15.59 Bn |
| Jun 30, 2023 | 15.22 Bn |
| Mar 31, 2023 | 15.20 Bn |
| Dec 31, 2022 | 15.25 Bn |
| Sep 30, 2022 | 14.57 Bn |
| Jun 30, 2022 | 14.67 Bn |
| Mar 31, 2022 | 14.86 Bn |
| Dec 31, 2021 | 14.90 Bn |
| Sep 30, 2021 | 13.08 Bn |
Plains All American Pipeline Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=PAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();