Plains All American Pipeline (PAA) Return on Sales [ROS] (2009 - 2026)
Plains All American Pipeline's Return on Sales [ROS] was 3.40% in Q3 2026, down 0.78 percentage points from 4.18% a year earlier but up 1.15 percentage points from the prior quarter.
Plains All American Pipeline (PAA) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Plains All American Pipeline's Return on Sales [ROS] was 2.99% through Sep 30, 2026, up 0.67 percentage points year-over-year; for FY2025, it came in at 3.24%, up 1.46 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +13.44 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 1.78% in FY2024 (-0.88 pp), 2.66% in FY2023 (+0.40 pp), 2.25% in FY2022 (+0.23 pp) and 2.02% in FY2021 (+12.22 pp).
- Quarterly Return on Sales [ROS] has moved between -0.29% (Q4 2022) and 4.61% (Q4 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of +0.44 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2021 (a gain of 5.70 percentage points); the worst was Q4 2022 (a drop of 4.90 percentage points).
- Per Business Quant data, PAA's Return on Sales [ROS] in the three quarters before Q3 2026 was 2.25% (Q2 2026), 3.25% (Q1 2026) and 3.36% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 106.26 Bn | 104.14 Bn | 4.35 Bn | 10.14% |
| 2 | Williams Companies | 86.41 Bn | 89.20 Bn | 2.59 Bn | 35.25% |
| 3 | Enterprise Products Partners | 82.58 Bn | 80.98 Bn | 14.00 Mn | 11.09% |
| 4 | Kinder Morgan | 71.13 Bn | 71.22 Bn | 2.97 Bn | 25.60% |
| 5 | Tc Energy | 67.40 Bn | 71.05 Bn | - | - |
| 6 | Energy Transfer | 66.89 Bn | 62.98 Bn | 6.57 Bn | 7.50% |
| 7 | Targa Resources | 63.77 Bn | 62.98 Bn | 2.02 Bn | 19.58% |
| 8 | Cheniere Energy | 63.04 Bn | 62.60 Bn | 2.97 Bn | 31.02% |
| 9 | Mplx | 58.00 Bn | 52.25 Bn | 3.19 Bn | 40.94% |
| 10 | Plains All American Pipeline | 17.30 Bn | 18.05 Bn | 1.14 Bn | 3.40% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.40% |
| Jun 30, 2026 | 2.25% |
| Mar 31, 2026 | 3.25% |
| Dec 31, 2025 | 3.36% |
| Sep 30, 2025 | 4.18% |
| Jun 30, 2025 | 2.25% |
| Mar 31, 2025 | 3.10% |
| Dec 31, 2024 | -0.13% |
| Sep 30, 2024 | 1.57% |
| Jun 30, 2024 | 2.60% |
| Mar 31, 2024 | 3.06% |
| Dec 31, 2023 | 1.53% |
| Sep 30, 2023 | 1.94% |
| Jun 30, 2023 | 3.26% |
| Mar 31, 2023 | 3.83% |
| Dec 31, 2022 | -0.29% |
| Sep 30, 2022 | 4.37% |
| Jun 30, 2022 | 2.51% |
| Mar 31, 2022 | 2.14% |
| Dec 31, 2021 | 4.61% |
Plains All American Pipeline Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();