Portland General Electric (POR) Operating Expenses (2009 - 2026)
Portland General Electric (POR) reported Operating Expenses of $693 million for Q2 2026, up 0.6% from $689 million a year earlier but down 10.2% from the prior quarter.
Powered by 
Analysis
Portland General Electric (POR) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Portland General Electric's Operating Expenses came in at $3.04 billion, up 2.3% year-over-year; for FY2025, it was $3.02 billion, up 3.2% from FY2024.
- Operating Expenses has increased for nine consecutive years, with a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- By year, Operating Expenses came in at $2.93 billion in FY2024 (+15.9%), $2.53 billion in FY2023 (+12.3%), $2.25 billion in FY2022 (+11.5%) and $2.02 billion in FY2021 (+7.6%).
- Five-year quarterly Operating Expenses spans a low of $479 million in Q2 2022 and a high of $794 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 5.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2024 (growth of 21.6%); the low point was Q1 2025 (a decline of 0.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $772 million (Q1 2026), $794 million (Q4 2025) and $778 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn | -140.00 Mn |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - | - |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - | 4.15 Bn |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - | 2.41 Bn |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn | 1.63 Bn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - | 1.63 Bn |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn | 626.05 Mn |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn | - |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - | 813.00 Mn |
| 10 | Portland General Electric | 5.17 Bn | 4.66 Bn | - | 693.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 693.00 Mn |
| Mar 31, 2026 | 772.00 Mn |
| Dec 31, 2025 | 794.00 Mn |
| Sep 30, 2025 | 778.00 Mn |
| Jun 30, 2025 | 689.00 Mn |
| Mar 31, 2025 | 760.00 Mn |
| Dec 31, 2024 | 736.00 Mn |
| Sep 30, 2024 | 783.00 Mn |
| Jun 30, 2024 | 642.00 Mn |
| Mar 31, 2024 | 767.00 Mn |
| Dec 31, 2023 | 612.00 Mn |
| Sep 30, 2023 | 717.00 Mn |
| Jun 30, 2023 | 567.00 Mn |
| Mar 31, 2023 | 631.00 Mn |
| Dec 31, 2022 | 600.00 Mn |
| Sep 30, 2022 | 651.00 Mn |
| Jun 30, 2022 | 479.00 Mn |
| Mar 31, 2022 | 520.00 Mn |
| Dec 31, 2021 | 507.00 Mn |
| Sep 30, 2021 | 559.00 Mn |
API Access
Portland General Electric Operating Expenses 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=operating-expenses&ticker=POR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=POR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();