Portland General Electric (POR) Selling, General & Administrative (2009 - 2026)
Portland General Electric (POR) recorded Selling, General & Administrative of $90 million in Q2 2026, down 6.3% from $96 million a year earlier and down 15.1% from the prior quarter.
Portland General Electric (POR) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Portland General Electric's Selling, General & Administrative came in at $396 million as of Jun 30, 2026, down 1.7% year-over-year; for FY2025, it came in at $392 million, down 2.7% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $403 million in FY2024 (+18.2%), $341 million in FY2023 (+0.3%), $340 million in FY2022 (+1.2%) and $336 million in FY2021 (+18.7%).
- The Q2 2026 figure is the lowest quarterly Selling, General & Administrative since Q4 2023.
- On a year-over-year basis, Selling, General & Administrative rose in four of the last eight quarters, with growth averaging 5.8%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 38.0% in Q4 2024, against a decline of 10.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $106 million (Q1 2026), $101 million (Q4 2025) and $99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn | - |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - | - |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn | - |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn | - |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - | - |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn | - |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - | - |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn | - |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - | - |
| 10 | Portland General Electric | 5.16 Bn | 4.65 Bn | - | 90.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.00 Mn |
| Mar 31, 2026 | 106.00 Mn |
| Dec 31, 2025 | 101.00 Mn |
| Sep 30, 2025 | 99.00 Mn |
| Jun 30, 2025 | 96.00 Mn |
| Mar 31, 2025 | 96.00 Mn |
| Dec 31, 2024 | 109.00 Mn |
| Sep 30, 2024 | 102.00 Mn |
| Jun 30, 2024 | 97.00 Mn |
| Mar 31, 2024 | 95.00 Mn |
| Dec 31, 2023 | 79.00 Mn |
| Sep 30, 2023 | 89.00 Mn |
| Jun 30, 2023 | 93.00 Mn |
| Mar 31, 2023 | 80.00 Mn |
| Dec 31, 2022 | 83.00 Mn |
| Sep 30, 2022 | 84.00 Mn |
| Jun 30, 2022 | 84.00 Mn |
| Mar 31, 2022 | 89.00 Mn |
| Dec 31, 2021 | 89.00 Mn |
| Sep 30, 2021 | 82.00 Mn |
Portland General Electric Selling, General & Administrative 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=selling-general-and-administrative&ticker=POR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=POR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();