Portland General Electric (POR) Total Non-Current Liabilities (2009 - 2026)
Portland General Electric (POR) reported Total Non-Current Liabilities of $9.05 billion for Q2 2026, up 11.2% from $8.14 billion a year earlier and up 4.9% from the prior quarter.
Portland General Electric (POR) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Portland General Electric posted Total Non-Current Liabilities of $8.68 billion, up 4.3% from FY2024.
- Total Non-Current Liabilities has increased for ten consecutive years, with a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $8.32 billion in FY2024 (+12.0%), $7.43 billion in FY2023 (+0.5%), $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 12 quarters, with growth averaging 8.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 0.0% in Q2 2023 to 16.2% in Q1 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.63 billion (Q1 2026), $8.68 billion (Q4 2025) and $8.37 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 299.49 Bn | 296.88 Bn | - | 4.88 Bn |
| 2 | Nextera Energy | 179.92 Bn | 166.66 Bn | - | 135.57 Bn |
| 3 | Southern | 105.56 Bn | 96.61 Bn | 5.92 Bn | 82.64 Bn |
| 4 | Duke Energy | 99.44 Bn | 95.69 Bn | 5.66 Bn | 142.33 Bn |
| 5 | National Grid | 82.69 Bn | 64.32 Bn | - | 77.92 Bn |
| 6 | American Electric Power | 68.52 Bn | 66.31 Bn | 4.75 Bn | 76.29 Bn |
| 7 | Dominion Energy | 59.67 Bn | 57.66 Bn | - | 48.44 Bn |
| 8 | Entergy | 52.06 Bn | 38.50 Bn | - | 54.15 Bn |
| 9 | Sempra | 51.32 Bn | 50.45 Bn | 2.89 Bn | 72.44 Bn |
| 10 | Portland General Electric | 5.40 Bn | 4.90 Bn | - | 9.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.01 Bn |
| 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 |
Portland General Electric 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();