Portland General Electric Co /Or/ (POR) Short-Term Borrowings (2010 - 2026)
Analysis
Portland General Electric Co /Or/ (POR) Short-Term Borrowings (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 9.00 Mn |
| Dec 31, 2023 | 146.00 Mn |
| Jun 30, 2023 | 140.00 Mn |
| Mar 31, 2023 | 68.00 Mn |
| Sep 30, 2022 | 40.00 Mn |
| Jun 30, 2021 | 200.00 Mn |
| Mar 31, 2021 | 200.00 Mn |
| Dec 31, 2020 | 150.00 Mn |
| Sep 30, 2020 | 225.00 Mn |
| Jun 30, 2020 | 150.00 Mn |
| Mar 31, 2020 | 20.00 Mn |
| Jun 30, 2019 | 17.00 Mn |
| Dec 31, 2015 | 6.00 Mn |
| Dec 31, 2012 | 17.00 Mn |
| Dec 31, 2011 | 30.00 Mn |
| Dec 31, 2010 | 19.00 Mn |
| Sep 30, 2010 | 20.00 Mn |
API Access
Portland General Electric Co /Or/ Short-Term Borrowings 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=short-term-borrowings&ticker=POR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-borrowings", "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=short-term-borrowings&ticker=POR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();