Portland General Electric Co /Or/ (POR) Regulatory Assets (2009 - 2026)
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Analysis
Portland General Electric Co /Or/ (POR) Regulatory Assets (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 521.00 Mn |
| Mar 31, 2026 | 552.00 Mn |
| Dec 31, 2025 | 619.00 Mn |
| Sep 30, 2025 | 599.00 Mn |
| Jun 30, 2025 | 581.00 Mn |
| Mar 31, 2025 | 633.00 Mn |
| Dec 31, 2024 | 837.00 Mn |
| Sep 30, 2024 | 619.00 Mn |
| Jun 30, 2024 | 617.00 Mn |
| Mar 31, 2024 | 606.00 Mn |
| Dec 31, 2023 | 713.00 Mn |
| Sep 30, 2023 | 546.00 Mn |
| Jun 30, 2023 | 593.00 Mn |
| Mar 31, 2023 | 481.00 Mn |
| Dec 31, 2022 | 527.00 Mn |
| Sep 30, 2022 | 506.00 Mn |
| Jun 30, 2022 | 498.00 Mn |
| Mar 31, 2022 | 491.00 Mn |
| Dec 31, 2021 | 557.00 Mn |
| Sep 30, 2021 | 567.00 Mn |
API Access
Portland General Electric Co /Or/ Regulatory Assets 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=regulatory-assets&ticker=POR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "regulatory-assets", "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=regulatory-assets&ticker=POR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();