Portland General Electric (POR) Total Liabilities (2009 - 2026)
Portland General Electric's Total Liabilities came in at $9.52 billion for Q2 2026, up 7.8% from $8.83 billion a year earlier and up 4.8% from the prior quarter.
Portland General Electric (POR) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Portland General Electric's Total Liabilities was $9.1 billion, up 4.0% from FY2024.
- Total Liabilities has increased in each of the last ten years, with a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $8.75 billion in FY2024 (+10.9%), $7.89 billion in FY2023 (+2.7%), $7.68 billion in FY2022 (+13.2%) and $6.79 billion in FY2021 (+5.1%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2009.
- Year-over-year, Total Liabilities has increased for 29 consecutive quarters, with growth averaging 8.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 0.4% (Q1 2023) to 15.5% (Q1 2024).
- Business Quant data shows POR's Total Liabilities at $9.08 billion (Q1 2026), $9.1 billion (Q4 2025) and $9.06 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | 6.83 Bn |
| 2 | National Grid | 77.93 Bn | 59.46 Bn | - | 92.96 Bn |
| 3 | Dominion Energy | 53.37 Bn | 56.05 Bn | - | 88.29 Bn |
| 4 | Xcel Energy | 44.14 Bn | 39.04 Bn | - | 63.11 Bn |
| 5 | Wec Energy | 33.42 Bn | 33.65 Bn | 1.51 Bn | 38.62 Bn |
| 6 | Ameren | 27.75 Bn | 27.83 Bn | - | 37.40 Bn |
| 7 | Fortis | 26.92 Bn | 27.40 Bn | 1.60 Bn | 37.09 Bn |
| 8 | Atmos Energy | 26.63 Bn | 25.40 Bn | 870.85 Mn | 16.33 Bn |
| 9 | American Water Works Company | 25.79 Bn | 25.20 Bn | - | 24.79 Bn |
| 10 | Portland General Electric | 5.15 Bn | 4.64 Bn | - | 9.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.52 Bn |
| Mar 31, 2026 | 9.08 Bn |
| Dec 31, 2025 | 9.10 Bn |
| Sep 30, 2025 | 9.06 Bn |
| Jun 30, 2025 | 8.83 Bn |
| Mar 31, 2025 | 8.85 Bn |
| Dec 31, 2024 | 8.75 Bn |
| Sep 30, 2024 | 8.25 Bn |
| Jun 30, 2024 | 8.10 Bn |
| Mar 31, 2024 | 8.13 Bn |
| Dec 31, 2023 | 7.89 Bn |
| Sep 30, 2023 | 7.31 Bn |
| Jun 30, 2023 | 7.17 Bn |
| Mar 31, 2023 | 7.04 Bn |
| Dec 31, 2022 | 7.68 Bn |
| Sep 30, 2022 | 7.09 Bn |
| Jun 30, 2022 | 7.05 Bn |
| Mar 31, 2022 | 7.01 Bn |
| Dec 31, 2021 | 6.79 Bn |
| Sep 30, 2021 | 6.87 Bn |
Portland General Electric Total 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-liabilities&ticker=POR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=POR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();