Portland General Electric Co /Or/ (POR) Other Operating Expenses (2013 - 2018)
Portland General Electric's Other Operating Expenses came in at $603 million for Q2 2026, up 1.7% from $593 million a year earlier but down 9.5% from the prior quarter.
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Analysis
Portland General Electric Co /Or/ (POR) Other Operating Expenses (2013 - 2018) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Portland General Electric reported Other Operating Expenses of $2.64 billion, up 3.0% year-over-year; for FY2025, it came in at $2.63 billion, up 4.1% from FY2024.
- Other Operating Expenses has increased in each of the last nine years, with a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $2.53 billion in FY2024 (+15.5%), $2.19 billion in FY2023 (+14.5%), $1.91 billion in FY2022 (+13.6%) and $1.68 billion in FY2021 (+5.6%).
- The five-year range for quarterly Other Operating Expenses is $395 million (Q2 2022) to $693 million (Q4 2025).
- Year-over-year, Other Operating Expenses has increased for three consecutive quarters, with growth averaging 5.7% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q1 2023 (growth of 27.8%), and the weakest in Q3 2021 (a decline of 4.6%).
- Business Quant data shows POR's Other Operating Expenses at $666 million (Q1 2026), $693 million (Q4 2025) and $679 million (Q3 2025) in the three quarters before Q2 2026.
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Historic Data
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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, 2013 | 52.00 Mn |
API Access
Portland General Electric Co /Or/ 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_KEYimport 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();