Plains All American Pipeline (PAA) Non-Current Assets (2009 - 2026)
Plains All American Pipeline's Non-Current Assets was $22.53 billion in Q3 2026, unchanged from $22.52 billion a year earlier and down 0.7% from the prior quarter.
Plains All American Pipeline (PAA) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Plains All American Pipeline came in at $25.44 billion, up 16.9% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $21.76 billion in FY2024 (-3.0%), $22.44 billion in FY2023 (-0.4%), $22.54 billion in FY2022 (+0.3%) and $22.47 billion in FY2021 (+7.9%).
- Quarterly Non-Current Assets has moved between $21.76 billion (Q4 2024) and $25.47 billion (Q1 2026) over five years.
- Compared with a year earlier, Non-Current Assets was higher in five of the last eight quarters, with growth averaging 4.1%.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2025 (growth of 16.9%); the worst was Q4 2024 (a decline of 3.0%).
- Per Business Quant data, PAA's Non-Current Assets in the three quarters before Q3 2026 was $22.68 billion (Q2 2026), $25.47 billion (Q1 2026) and $25.44 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 106.26 Bn | 104.14 Bn | 4.35 Bn | 153.36 Bn |
| 2 | Williams Companies | 86.41 Bn | 89.20 Bn | 2.59 Bn | 65.95 Bn |
| 3 | Enterprise Products Partners | 82.58 Bn | 80.98 Bn | 14.00 Mn | 66.18 Bn |
| 4 | Kinder Morgan | 71.13 Bn | 71.22 Bn | 2.97 Bn | 71.93 Bn |
| 5 | Tc Energy | 67.40 Bn | 71.05 Bn | - | - |
| 6 | Energy Transfer | 66.89 Bn | 62.98 Bn | 6.57 Bn | 125.24 Bn |
| 7 | Targa Resources | 63.77 Bn | 62.98 Bn | 2.02 Bn | 26.69 Bn |
| 8 | Cheniere Energy | 63.04 Bn | 62.60 Bn | 2.97 Bn | 44.12 Bn |
| 9 | Mplx | 58.00 Bn | 52.25 Bn | 3.19 Bn | 40.79 Bn |
| 10 | Plains All American Pipeline | 17.30 Bn | 18.05 Bn | 1.14 Bn | 22.53 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 22.53 Bn |
| Jun 30, 2026 | 22.68 Bn |
| Mar 31, 2026 | 25.47 Bn |
| Dec 31, 2025 | 25.44 Bn |
| Sep 30, 2025 | 22.52 Bn |
| Jun 30, 2025 | 22.47 Bn |
| Mar 31, 2025 | 22.32 Bn |
| Dec 31, 2024 | 21.76 Bn |
| Sep 30, 2024 | 21.99 Bn |
| Jun 30, 2024 | 22.07 Bn |
| Mar 31, 2024 | 22.36 Bn |
| Dec 31, 2023 | 22.44 Bn |
| Sep 30, 2023 | 22.40 Bn |
| Jun 30, 2023 | 22.24 Bn |
| Mar 31, 2023 | 22.33 Bn |
| Dec 31, 2022 | 22.54 Bn |
| Sep 30, 2022 | 21.88 Bn |
| Jun 30, 2022 | 22.23 Bn |
| Mar 31, 2022 | 22.55 Bn |
| Dec 31, 2021 | 22.47 Bn |
Plains All American Pipeline Non-Current Assets 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=non-current-assets&ticker=PAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();