Portland General Electric (POR) Return on Sales [ROS] (2009 - 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] (2009 - 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 | Wisconsin Electric Power | 99,216.00 Bn | 99,215.99 Bn | 911.30 Mn | 29.10% |
| 2 | Enel Chile | 301.57 Bn | 301.57 Bn | 1.33 Bn | 29.34% |
| 3 | Nextera Energy | 180.93 Bn | 179.04 Bn | - | 32.44% |
| 4 | Southern | 109.04 Bn | 101.70 Bn | 7.31 Bn | 33.93% |
| 5 | Duke Energy | 100.59 Bn | 99.24 Bn | 6.37 Bn | 30.17% |
| 6 | National Grid | 86.94 Bn | 59.27 Bn | - | - |
| 7 | American Electric Power | 69.61 Bn | 68.67 Bn | 4.75 Bn | 26.52% |
| 8 | Entergy | 53.37 Bn | 42.94 Bn | - | 33.93% |
| 9 | Sempra | 51.29 Bn | 84.11 Bn | - | 5.08% |
| 10 | Portland General Electric | 5.46 Bn | 4.97 Bn | - | 19.26% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.26% |
| 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% |
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();