Portland General Electric (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 (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
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn | 4.60 Bn |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - | -3.15 Bn |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - | 58.73 Bn |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - | 44.62 Bn |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn | 32.97 Bn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - | 36.52 Bn |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn | 36.10 Bn |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn | 15.51 Bn |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - | 24.57 Bn |
| 10 | Portland General Electric | 5.17 Bn | 4.66 Bn | - | 9.12 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.12 Bn |
| Mar 31, 2026 | 8.70 Bn |
| Dec 31, 2025 | 8.74 Bn |
| Sep 30, 2025 | 8.71 Bn |
| Jun 30, 2025 | 8.48 Bn |
| Mar 31, 2025 | 8.49 Bn |
| Dec 31, 2024 | 8.39 Bn |
| Sep 30, 2024 | 7.98 Bn |
| Jun 30, 2024 | 7.82 Bn |
| Mar 31, 2024 | 7.86 Bn |
| Dec 31, 2023 | 7.60 Bn |
| Sep 30, 2023 | 7.05 Bn |
| Jun 30, 2023 | 6.91 Bn |
| Mar 31, 2023 | 6.79 Bn |
| Dec 31, 2022 | 7.39 Bn |
| Sep 30, 2022 | 6.86 Bn |
| Jun 30, 2022 | 6.80 Bn |
| Mar 31, 2022 | 6.77 Bn |
| Dec 31, 2021 | 6.52 Bn |
| Sep 30, 2021 | 6.63 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();