Portland General Electric (POR) Operations and Maintenance (2009 - 2026)
Portland General Electric's Operations and Maintenance was $115 million in Q3 2026, up 2.7% from $112 million a year earlier and up 2.7% from the prior quarter.
Portland General Electric (POR) Operations and Maintenance (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Portland General Electric's Operations and Maintenance was $451 million through Sep 30, 2026, up 3.7% year-over-year; for FY2025, it came in at $450 million, up 3.2% from FY2024.
- Operations and Maintenance has now increased for five consecutive years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In earlier years, Operations and Maintenance was $436 million in FY2024 (+16.6%), $374 million in FY2023 (+7.5%), $348 million in FY2022 (+12.3%) and $310 million in FY2021 (+5.8%).
- The Q3 2026 figure marks the highest quarterly Operations and Maintenance since Q3 2024.
- Compared with a year earlier, Operations and Maintenance was higher in five of the last eight quarters, with growth averaging 2.9%.
- The best year-over-year quarter for Operations and Maintenance over five years was Q3 2024 (growth of 54.1%); the worst was Q3 2025 (a decline of 14.5%).
- Per Business Quant data, POR's Operations and Maintenance in the three quarters before Q3 2026 was $112 million (Q2 2026), $110 million (Q1 2026) and $114 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | O&M (Qtr) |
|---|---|---|---|---|---|
| 1 | Wisconsin Electric Power | 99,216.00 Bn | 99,215.99 Bn | 911.30 Mn | - |
| 2 | Enel Chile | 301.57 Bn | 301.57 Bn | 1.33 Bn | - |
| 3 | Nextera Energy | 180.93 Bn | 179.04 Bn | - | 1.43 Bn |
| 4 | Southern | 109.04 Bn | 101.70 Bn | 7.31 Bn | 1.85 Bn |
| 5 | Duke Energy | 100.59 Bn | 99.24 Bn | 6.37 Bn | 1.37 Bn |
| 6 | National Grid | 86.94 Bn | 59.27 Bn | - | - |
| 7 | American Electric Power | 69.61 Bn | 68.67 Bn | 4.75 Bn | 35.25 Bn |
| 8 | Entergy | 53.37 Bn | 42.94 Bn | - | 832.88 Mn |
| 9 | Sempra | 51.29 Bn | 84.11 Bn | - | -1.22 Bn |
| 10 | Portland General Electric | 5.46 Bn | 4.97 Bn | - | 115.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 115.00 Mn |
| Jun 30, 2026 | 112.00 Mn |
| Mar 31, 2026 | 110.00 Mn |
| Dec 31, 2025 | 114.00 Mn |
| Sep 30, 2025 | 112.00 Mn |
| Jun 30, 2025 | 114.00 Mn |
| Mar 31, 2025 | 110.00 Mn |
| Dec 31, 2024 | 99.00 Mn |
| Sep 30, 2024 | 131.00 Mn |
| Jun 30, 2024 | 107.00 Mn |
| Mar 31, 2024 | 99.00 Mn |
| Dec 31, 2023 | 95.00 Mn |
| Sep 30, 2023 | 85.00 Mn |
| Jun 30, 2023 | 101.00 Mn |
| Mar 31, 2023 | 93.00 Mn |
| Dec 31, 2022 | 90.00 Mn |
| Sep 30, 2022 | 83.00 Mn |
| Jun 30, 2022 | 85.00 Mn |
| Mar 31, 2022 | 90.00 Mn |
| Dec 31, 2021 | 74.00 Mn |
Portland General Electric Operations and Maintenance 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=operations-and-maintenance&ticker=POR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operations-and-maintenance", "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=operations-and-maintenance&ticker=POR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();