Portland General Electric Co /Or/ (POR) Total Revenue (2017 - 2026)
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Portland General Electric Co /Or/ (POR) Total Revenue (2017 - 2026) Analysis & Trends
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 814.00 Mn |
| Mar 31, 2026 | 879.00 Mn |
| Dec 31, 2025 | 889.00 Mn |
| Sep 30, 2025 | 952.00 Mn |
| Jun 30, 2025 | 807.00 Mn |
| Mar 31, 2025 | 932.00 Mn |
| Dec 31, 2024 | 837.00 Mn |
| Sep 30, 2024 | 942.00 Mn |
| Jun 30, 2024 | 761.00 Mn |
| Mar 31, 2024 | 940.00 Mn |
| Dec 31, 2023 | 725.00 Mn |
| Sep 30, 2023 | 802.00 Mn |
| Jun 30, 2023 | 648.00 Mn |
| Mar 31, 2023 | 748.00 Mn |
| Dec 31, 2022 | 687.00 Mn |
| Sep 30, 2022 | 743.00 Mn |
| Jun 30, 2022 | 591.00 Mn |
| Mar 31, 2022 | 626.00 Mn |
| Dec 31, 2021 | 614.00 Mn |
| Sep 30, 2021 | 654.00 Mn |
API Access
Portland General Electric Co /Or/ Total Revenue 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=total-revenue&ticker=POR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-revenue", "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=total-revenue&ticker=POR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();