Plains All American Pipeline (PAA) Selling, General & Administrative (2009 - 2026)
Plains All American Pipeline (PAA) reported Selling, General & Administrative of $110 million for Q2 2026, up 34.1% from $82 million a year earlier and up 35.8% from the prior quarter.
Plains All American Pipeline (PAA) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Plains All American Pipeline's Selling, General & Administrative came in at $365 million, up 9.0% year-over-year; for FY2025, it came in at $342 million, up 4.3% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $328 million in FY2024 (+9.7%), $299 million in FY2023 (-8.0%), $325 million in FY2022 (+11.3%) and $292 million in FY2021 (+7.7%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q1 2009.
- Year over year, Selling, General & Administrative gained in four of the last eight quarters, with growth averaging 18.8%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2024 (growth of 127.8%); the low point was Q4 2023 (a decline of 56.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $81 million (Q1 2026), $91 million (Q4 2025) and $83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 101.05 Bn | 98.59 Bn | 4.84 Bn | 1.71 Bn |
| 2 | Williams Companies | 84.68 Bn | 83.39 Bn | 2.54 Bn | 180.00 Mn |
| 3 | Enterprise Products Partners | 77.03 Bn | 75.46 Bn | - | 64.00 Mn |
| 4 | Energy Transfer | 69.18 Bn | 62.61 Bn | 7.40 Bn | 421.00 Mn |
| 5 | Kinder Morgan | 67.95 Bn | 68.90 Bn | 3.07 Bn | 192.00 Mn |
| 6 | Tc Energy | 61.01 Bn | 64.08 Bn | 2.81 Bn | - |
| 7 | Targa Resources | 59.91 Bn | 59.53 Bn | 2.14 Bn | 108.10 Mn |
| 8 | Mplx | 57.11 Bn | 50.67 Bn | 2.91 Bn | 108.00 Mn |
| 9 | Cheniere Energy | 56.26 Bn | 56.39 Bn | 5.29 Bn | 88.00 Mn |
| 10 | Plains All American Pipeline | 16.72 Bn | 13.98 Bn | 1.14 Bn | 110.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.00 Mn |
| Mar 31, 2026 | 81.00 Mn |
| Dec 31, 2025 | 91.00 Mn |
| Sep 30, 2025 | 83.00 Mn |
| Jun 30, 2025 | 82.00 Mn |
| Mar 31, 2025 | 85.00 Mn |
| Dec 31, 2024 | 82.00 Mn |
| Sep 30, 2024 | 86.00 Mn |
| Jun 30, 2024 | 79.00 Mn |
| Mar 31, 2024 | 96.00 Mn |
| Dec 31, 2023 | 36.00 Mn |
| Sep 30, 2023 | 92.00 Mn |
| Jun 30, 2023 | 85.00 Mn |
| Mar 31, 2023 | 86.00 Mn |
| Dec 31, 2022 | 82.00 Mn |
| Sep 30, 2022 | 83.00 Mn |
| Jun 30, 2022 | 78.00 Mn |
| Mar 31, 2022 | 82.00 Mn |
| Dec 31, 2021 | 87.00 Mn |
| Sep 30, 2021 | 67.00 Mn |
Plains All American Pipeline Selling, General & Administrative 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=selling-general-and-administrative&ticker=PAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();