Portland General Electric (POR) Return on Sales [ROS] (2017 - 2026)
Portland General Electric's Return on Sales [ROS] came in at 14.86% for Q2 2026, up 0.24 percentage points from 14.62% a year earlier and up 2.69 percentage points from the prior quarter.
Portland General Electric (POR) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Portland General Electric reported Return on Sales [ROS] of 14.06%, down 0.72 percentage points year-over-year; for FY2025, it came in at 15.52%, up 0.81 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +3.01 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 14.71% in FY2024 (+1.16 pp), 13.55% in FY2023 (-1.45 pp), 15.00% in FY2022 (-0.59 pp) and 15.59% in FY2021 (+3.08 pp).
- The five-year range for quarterly Return on Sales [ROS] is 10.51% (Q4 2024) to 18.95% (Q2 2022).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of -0.33 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2021 (a gain of 15.57 percentage points), and the weakest in Q2 2023 (a drop of 6.45 percentage points).
- Business Quant data shows POR's Return on Sales [ROS] at 12.17% (Q1 2026), 10.69% (Q4 2025) and 18.28% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn | 30.20% |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - | 29.71% |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn | 25.46% |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn | 29.69% |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - | - |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn | 22.90% |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - | 7.34% |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn | 23.72% |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - | 24.13% |
| 10 | Portland General Electric | 5.16 Bn | 4.65 Bn | - | 14.86% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.86% |
| Mar 31, 2026 | 12.17% |
| Dec 31, 2025 | 10.69% |
| Sep 30, 2025 | 18.28% |
| Jun 30, 2025 | 14.62% |
| Mar 31, 2025 | 18.03% |
| Dec 31, 2024 | 10.51% |
| Sep 30, 2024 | 15.50% |
| Jun 30, 2024 | 15.24% |
| Mar 31, 2024 | 17.23% |
| Dec 31, 2023 | 15.59% |
| Sep 30, 2023 | 10.60% |
| Jun 30, 2023 | 12.50% |
| Mar 31, 2023 | 15.64% |
| Dec 31, 2022 | 12.66% |
| Sep 30, 2022 | 12.38% |
| Jun 30, 2022 | 18.95% |
| Mar 31, 2022 | 16.93% |
| Dec 31, 2021 | 16.45% |
| Sep 30, 2021 | 12.69% |
Portland General Electric 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=POR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "POR", "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=POR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();