Portland General Electric Co /Or/ (POR) Utility Plant, Gross (2009 - 2026)
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Analysis
Portland General Electric Co /Or/ (POR) Utility Plant, Gross (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.14 Bn |
| Mar 31, 2026 | 16.63 Bn |
| Dec 31, 2025 | 16.41 Bn |
| Sep 30, 2025 | 16.18 Bn |
| Jun 30, 2025 | 15.92 Bn |
| Mar 31, 2025 | 15.72 Bn |
| Dec 31, 2024 | 14.86 Bn |
| Sep 30, 2024 | 15.06 Bn |
| Jun 30, 2024 | 14.82 Bn |
| Mar 31, 2024 | 14.51 Bn |
| Dec 31, 2023 | 13.33 Bn |
| Sep 30, 2023 | 13.75 Bn |
| Jun 30, 2023 | 13.44 Bn |
| Mar 31, 2023 | 13.12 Bn |
| Dec 31, 2022 | 12.42 Bn |
| Sep 30, 2022 | 12.65 Bn |
| Jun 30, 2022 | 12.45 Bn |
| Mar 31, 2022 | 12.28 Bn |
| Dec 31, 2021 | 11.84 Bn |
| Sep 30, 2021 | 11.84 Bn |
API Access
Portland General Electric Co /Or/ Utility Plant, Gross 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=utility-plant-gross&ticker=POR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "utility-plant-gross", "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=utility-plant-gross&ticker=POR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();