Portland General Electric (POR) Tax Provisions (2009 - 2026)
Portland General Electric's Tax Provisions was $12 million in Q2 2026, unchanged from $12 million a year earlier and up 33.3% from the prior quarter.
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Analysis
Portland General Electric (POR) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Portland General Electric's Tax Provisions was $40 million through Jun 30, 2026, down 21.6% year-over-year; for FY2025, it was $53 million, up 43.2% from FY2024.
- Tax Provisions shows a four-year compound annual growth rate of 23.2% (FY2021 to FY2025).
- In earlier years, Tax Provisions was $37 million in FY2024 (-17.8%), $45 million in FY2023 (+15.4%), $39 million in FY2022 (+69.6%) and $23 million in FY2021.
- Quarterly Tax Provisions has moved between -$1 million (Q4 2025) and $22 million (Q1 2025) over five years.
- Compared with a year earlier, Tax Provisions was higher in four of the last seven quarters, with growth averaging 26.7%.
- The best year-over-year quarter for Tax Provisions over five years was Q4 2023 (growth of 400.0%); the worst was Q4 2024 (a decline of 60.0%).
- Per Business Quant data, POR's Tax Provisions in the three quarters before Q2 2026 was $9 million (Q1 2026), -$1 million (Q4 2025) and $20 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn | -98.00 Mn |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - | - |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - | 122.00 Mn |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - | -60.00 Mn |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn | 27.00 Mn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - | 52.00 Mn |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn | 54.94 Mn |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn | 60.59 Mn |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - | 90.00 Mn |
| 10 | Portland General Electric | 5.17 Bn | 4.66 Bn | - | 12.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.00 Mn |
| Mar 31, 2026 | 9.00 Mn |
| Dec 31, 2025 | -1.00 Mn |
| Sep 30, 2025 | 20.00 Mn |
| Jun 30, 2025 | 12.00 Mn |
| Mar 31, 2025 | 22.00 Mn |
| Dec 31, 2024 | 6.00 Mn |
| Sep 30, 2024 | 11.00 Mn |
| Jun 30, 2024 | 7.00 Mn |
| Mar 31, 2024 | 13.00 Mn |
| Dec 31, 2023 | 15.00 Mn |
| Sep 30, 2023 | 6.00 Mn |
| Jun 30, 2023 | 10.00 Mn |
| Mar 31, 2023 | 14.00 Mn |
| Dec 31, 2022 | 3.00 Mn |
| Sep 30, 2022 | 12.00 Mn |
| Jun 30, 2022 | 13.00 Mn |
| Mar 31, 2022 | 11.00 Mn |
| Dec 31, 2021 | 5.00 Mn |
| Sep 30, 2021 | 5.00 Mn |
API Access
Portland General Electric Tax Provisions 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=tax-provisions&ticker=POR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=POR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();