Portland General Electric Co /Or/ (POR) Total Non-Current Liabilities (2009 - 2026)
Portland General Electric (POR) reported Total Non-Current Liabilities of $9.12 billion for Q2 2026, up 7.5% from $8.48 billion a year earlier and up 4.8% from the prior quarter.
Portland General Electric Co /Or/ (POR) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Portland General Electric posted Total Non-Current Liabilities of $8.74 billion, up 4.1% from FY2024.
- Total Non-Current Liabilities has increased for ten consecutive years, with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $8.39 billion in FY2024 (+10.4%), $7.6 billion in FY2023 (+2.9%), $7.39 billion in FY2022 (+13.4%) and $6.52 billion in FY2021 (+5.7%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 29 quarters, with growth averaging 7.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 0.3% in Q1 2023 to 15.7% in Q1 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.7 billion (Q1 2026), $8.74 billion (Q4 2025) and $8.71 billion (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.05 Bn |
| Mar 31, 2026 | 8.63 Bn |
| Dec 31, 2025 | 8.68 Bn |
| Sep 30, 2025 | 8.37 Bn |
| Jun 30, 2025 | 8.14 Bn |
| Mar 31, 2025 | 8.13 Bn |
| Dec 31, 2024 | 8.32 Bn |
| Sep 30, 2024 | 7.81 Bn |
| Jun 30, 2024 | 7.67 Bn |
| Mar 31, 2024 | 7.70 Bn |
| Dec 31, 2023 | 7.43 Bn |
| Sep 30, 2023 | 6.83 Bn |
| Jun 30, 2023 | 6.65 Bn |
| Mar 31, 2023 | 6.63 Bn |
| Dec 31, 2022 | 7.39 Bn |
| Sep 30, 2022 | 6.70 Bn |
| Jun 30, 2022 | 6.65 Bn |
| Mar 31, 2022 | 6.62 Bn |
| Dec 31, 2021 | 6.52 Bn |
| Sep 30, 2021 | 6.46 Bn |
Portland General Electric Co /Or/ Total Non-Current Liabilities 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-non-current-liabilities&ticker=POR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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-non-current-liabilities&ticker=POR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();