Portland General Electric (POR) Other Operating Expenses (2009 - 2018)
Portland General Electric (POR) reported Other Operating Expenses of $460 million for Q2 2026, up 1.3% from $454 million a year earlier but down 11.9% from the prior quarter.
Portland General Electric (POR) Other Operating Expenses (2009 - 2018) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Portland General Electric's Other Operating Expenses came in at $2.06 billion, up 1.1% year-over-year; for FY2025, it came in at $2.05 billion, up 1.1% from FY2024.
- Other Operating Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $2.03 billion in FY2024 (+17.4%), $1.73 billion in FY2023 (+15.7%), $1.49 billion in FY2022 (+16.8%) and $1.28 billion in FY2021 (+12.2%).
- Five-year quarterly Other Operating Expenses spans a low of $292 million in Q2 2022 and a high of $555 million in Q3 2024.
- Year over year, Other Operating Expenses gained in five of the last eight quarters, with growth averaging 4.5%.
- The high point for year-over-year Other Operating Expenses in five years was Q1 2023 (growth of 32.5%); the low point was Q1 2025 (a decline of 4.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $522 million (Q1 2026), $542 million (Q4 2025) and $531 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 4 | Southern | 109.04 Bn | 101.70 Bn | 7.31 Bn |
| 5 | Duke Energy | 100.59 Bn | 99.24 Bn | 6.37 Bn |
| 6 | National Grid | 86.94 Bn | 59.27 Bn | - |
| 7 | American Electric Power | 69.61 Bn | 68.67 Bn | 4.75 Bn |
| 8 | Entergy | 53.37 Bn | 42.94 Bn | - |
| 9 | Sempra | 51.29 Bn | 84.11 Bn | - |
| 10 | Portland General Electric | 5.46 Bn | 4.97 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | -71.00 Mn |
| Mar 31, 2018 | -69.00 Mn |
| Dec 31, 2017 | -74.00 Mn |
| Sep 30, 2017 | -73.00 Mn |
| Jun 30, 2017 | -81.00 Mn |
| Mar 31, 2017 | -81.00 Mn |
| Dec 31, 2016 | -3.34 Bn |
| Sep 30, 2016 | -69.00 Mn |
| Jun 30, 2016 | -64.00 Mn |
| Mar 31, 2016 | -66.00 Mn |
| Dec 31, 2015 | -3.19 Bn |
| Sep 30, 2015 | -64.00 Mn |
| Jun 30, 2015 | -66.00 Mn |
| Mar 31, 2015 | -62.00 Mn |
| Dec 31, 2014 | -3.08 Bn |
| Sep 30, 2014 | -60.00 Mn |
| Jun 30, 2014 | -67.00 Mn |
| Mar 31, 2014 | -54.00 Mn |
| Dec 31, 2013 | -2.94 Bn |
| Jun 30, 2013 | 52.00 Mn |
Portland General Electric Other 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=other-operating-expenses&ticker=POR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=POR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();