Portland General Electric Co /Or/ (POR) Total Assets (2009 - 2026)
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Analysis
Portland General Electric Co /Or/ (POR) Total Assets (2009 - 2026) Analysis & Trends
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Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.64 Bn |
| Mar 31, 2026 | 13.20 Bn |
| Dec 31, 2025 | 13.23 Bn |
| Sep 30, 2025 | 13.01 Bn |
| Jun 30, 2025 | 12.68 Bn |
| Mar 31, 2025 | 12.70 Bn |
| Dec 31, 2024 | 12.54 Bn |
| Sep 30, 2024 | 11.88 Bn |
| Jun 30, 2024 | 11.58 Bn |
| Mar 31, 2024 | 11.59 Bn |
| Dec 31, 2023 | 11.21 Bn |
| Sep 30, 2023 | 10.60 Bn |
| Jun 30, 2023 | 10.37 Bn |
| Mar 31, 2023 | 10.15 Bn |
| Dec 31, 2022 | 10.46 Bn |
| Sep 30, 2022 | 9.85 Bn |
| Jun 30, 2022 | 9.78 Bn |
| Mar 31, 2022 | 9.72 Bn |
| Dec 31, 2021 | 9.49 Bn |
| Sep 30, 2021 | 9.54 Bn |
API Access
Portland General Electric Co /Or/ Total 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=total-assets&ticker=POR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-assets&ticker=POR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();