Portland General Electric Co /Or/ (POR) Regulatory Assets (Current) (2009 - 2026)
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Analysis
Portland General Electric Co /Or/ (POR) Regulatory Assets (Current) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 255.00 Mn |
| Mar 31, 2026 | 243.00 Mn |
| Dec 31, 2025 | 168.00 Mn |
| Sep 30, 2025 | 207.00 Mn |
| Jun 30, 2025 | 188.00 Mn |
| Mar 31, 2025 | 164.00 Mn |
| Dec 31, 2024 | 205.00 Mn |
| Sep 30, 2024 | 185.00 Mn |
| Jun 30, 2024 | 165.00 Mn |
| Mar 31, 2024 | 177.00 Mn |
| Dec 31, 2023 | 221.00 Mn |
| Sep 30, 2023 | 55.00 Mn |
| Jun 30, 2023 | 88.00 Mn |
| Mar 31, 2023 | 65.00 Mn |
| Dec 31, 2022 | 54.00 Mn |
| Sep 30, 2022 | 13.00 Mn |
| Jun 30, 2022 | 16.00 Mn |
| Mar 31, 2022 | 20.00 Mn |
| Dec 31, 2021 | 24.00 Mn |
| Sep 30, 2021 | 14.00 Mn |
API Access
Portland General Electric Co /Or/ Regulatory Assets (Current) 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-current&ticker=POR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "regulatory-assets-current", "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-current&ticker=POR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();