Plains All American Pipeline (PAA) Enterprise Value (2009 - 2026)
Plains All American Pipeline's Enterprise Value came in at $14.65 billion for Q2 2026, up 17.9% from $12.43 billion a year earlier but down 6.0% from the prior quarter.
Plains All American Pipeline (PAA) Enterprise Value (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Plains All American Pipeline reported Enterprise Value of $12.97 billion, up 17.8% year-over-year; for FY2025, it was $12.34 billion, up 5.7% from FY2024.
- Enterprise Value has increased in each of the last five years, with a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $11.67 billion in FY2024 (+14.8%), $10.17 billion in FY2023 (+30.2%), $7.81 billion in FY2022 (+27.3%) and $6.14 billion in FY2021 (+3.5%).
- The five-year range for quarterly Enterprise Value is $6.14 billion (Q4 2021) to $15.58 billion (Q1 2026).
- Year-over-year, Enterprise Value has increased for three consecutive quarters, with growth averaging 9.3% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q3 2021 (growth of 62.6%), and the weakest in Q2 2022 (a decline of 18.9%).
- Business Quant data shows PAA's Enterprise Value at $15.58 billion (Q1 2026), $12.34 billion (Q4 2025) and $10.86 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enbridge | 104.84 Bn | 100.44 Bn | 4.84 Bn |
| 2 | Williams Companies | 89.20 Bn | 87.92 Bn | 2.54 Bn |
| 3 | Enterprise Products Partners | 79.12 Bn | 77.51 Bn | - |
| 4 | Kinder Morgan | 75.45 Bn | 75.15 Bn | 3.07 Bn |
| 5 | Energy Transfer | 69.26 Bn | 62.44 Bn | 7.40 Bn |
| 6 | Tc Energy | 64.74 Bn | 60.82 Bn | 2.81 Bn |
| 7 | Targa Resources | 63.52 Bn | 63.00 Bn | 2.14 Bn |
| 8 | Cheniere Energy | 59.48 Bn | 54.30 Bn | 5.29 Bn |
| 9 | Mplx | 59.26 Bn | 52.82 Bn | 2.91 Bn |
| 10 | Plains All American Pipeline | 18.27 Bn | 15.54 Bn | 1.14 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.65 Bn |
| Mar 31, 2026 | 15.58 Bn |
| Dec 31, 2025 | 12.34 Bn |
| Sep 30, 2025 | 10.86 Bn |
| Jun 30, 2025 | 12.43 Bn |
| Mar 31, 2025 | 13.64 Bn |
| Dec 31, 2024 | 11.67 Bn |
| Sep 30, 2024 | 11.58 Bn |
| Jun 30, 2024 | 11.97 Bn |
| Mar 31, 2024 | 11.98 Bn |
| Dec 31, 2023 | 10.17 Bn |
| Sep 30, 2023 | 10.48 Bn |
| Jun 30, 2023 | 8.91 Bn |
| Mar 31, 2023 | 8.18 Bn |
| Dec 31, 2022 | 7.81 Bn |
| Sep 30, 2022 | 6.72 Bn |
| Jun 30, 2022 | 6.59 Bn |
| Mar 31, 2022 | 7.45 Bn |
| Dec 31, 2021 | 6.14 Bn |
| Sep 30, 2021 | 7.04 Bn |
Plains All American Pipeline Enterprise Value 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=enterprise-value&ticker=PAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=PAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();