Plains All American Pipeline (PAA) Non-Current Assets (2009 - 2026)
Plains All American Pipeline's Non-Current Assets was $22.68 billion in Q2 2026, up 1.0% from $22.47 billion a year earlier but down 11.0% 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 $6.76 billion, down 3.4% from FY2024.
- Non-Current Assets has now declined for four consecutive years, with a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $7 billion in FY2024 (-2.8%), $7.19 billion in FY2023 (-5.1%), $7.58 billion in FY2022 (-14.6%) and $8.88 billion in FY2021 (+1.3%).
- Quarterly Non-Current Assets has moved between $6.76 billion (Q4 2025) and $25.47 billion (Q1 2026) over five years.
- Compared with a year earlier, Non-Current Assets was higher in four of the last eight quarters, with growth averaging 1.4%.
- The best year-over-year quarter for Non-Current Assets over five years was Q1 2026 (growth of 14.1%); the worst was Q4 2022 (a decline of 14.6%).
- Per Business Quant data, PAA's Non-Current Assets in the three quarters before Q2 2026 was $25.47 billion (Q1 2026), $6.76 billion (Q4 2025) and $22.52 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 102.52 Bn | 100.06 Bn | 4.84 Bn | 154.65 Bn |
| 2 | Enterprise Products Partners | 79.27 Bn | 77.71 Bn | - | 65.85 Bn |
| 3 | Energy Transfer | 69.21 Bn | 62.65 Bn | 7.40 Bn | 125.06 Bn |
| 4 | Kinder Morgan | 68.17 Bn | 69.12 Bn | 3.07 Bn | 71.47 Bn |
| 5 | Tc Energy | 61.09 Bn | 64.16 Bn | 2.81 Bn | - |
| 6 | Targa Resources | 59.48 Bn | 59.10 Bn | 2.14 Bn | 25.89 Bn |
| 7 | Mplx | 58.45 Bn | 52.01 Bn | 2.91 Bn | 40.09 Bn |
| 8 | Oneok | 55.88 Bn | 54.37 Bn | 2.81 Bn | 63.24 Bn |
| 9 | Cheniere Energy | 55.70 Bn | 55.83 Bn | 5.29 Bn | 43.86 Bn |
| 10 | Plains All American Pipeline | 17.31 Bn | 14.57 Bn | 1.14 Bn | 22.68 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.68 Bn |
| Mar 31, 2026 | 25.47 Bn |
| Dec 31, 2025 | 6.76 Bn |
| Sep 30, 2025 | 22.52 Bn |
| Jun 30, 2025 | 22.47 Bn |
| Mar 31, 2025 | 22.32 Bn |
| Dec 31, 2024 | 7.00 Bn |
| Sep 30, 2024 | 21.99 Bn |
| Jun 30, 2024 | 22.07 Bn |
| Mar 31, 2024 | 22.36 Bn |
| Dec 31, 2023 | 7.19 Bn |
| Sep 30, 2023 | 22.40 Bn |
| Jun 30, 2023 | 22.24 Bn |
| Mar 31, 2023 | 22.33 Bn |
| Dec 31, 2022 | 7.58 Bn |
| Sep 30, 2022 | 21.88 Bn |
| Jun 30, 2022 | 22.23 Bn |
| Mar 31, 2022 | 22.55 Bn |
| Dec 31, 2021 | 8.88 Bn |
| Sep 30, 2021 | 19.32 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();