Portland General Electric Co /Or/ (POR) Common Stock (2009 - 2026)
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Analysis
Portland General Electric Co /Or/ (POR) Common Stock (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.39 Bn |
| Mar 31, 2026 | 2.39 Bn |
| Dec 31, 2025 | 2.38 Bn |
| Sep 30, 2025 | 2.18 Bn |
| Jun 30, 2025 | 2.13 Bn |
| Mar 31, 2025 | 2.12 Bn |
| Dec 31, 2024 | 2.12 Bn |
| Sep 30, 2024 | 1.94 Bn |
| Jun 30, 2024 | 1.83 Bn |
| Mar 31, 2024 | 1.83 Bn |
| Dec 31, 2023 | 1.75 Bn |
| Sep 30, 2023 | 1.74 Bn |
| Jun 30, 2023 | 1.65 Bn |
| Mar 31, 2023 | 1.55 Bn |
| Dec 31, 2022 | 1.25 Bn |
| Sep 30, 2022 | 1.25 Bn |
| Jun 30, 2022 | 1.24 Bn |
| Mar 31, 2022 | 1.24 Bn |
| Dec 31, 2021 | 1.24 Bn |
| Sep 30, 2021 | 1.24 Bn |
API Access
Portland General Electric Co /Or/ Common Stock 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=common-stock&ticker=POR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "common-stock", "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=common-stock&ticker=POR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();