Aes (AES) Selling, General & Administrative (2009 - 2026)
Aes (AES) posted Selling, General & Administrative of $62 million for Q2 2026, up 26.5% from $49 million a year earlier and up 12.7% from the prior quarter.
Aes (AES) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Aes was $232 million, down 15.0% year-over-year; for FY2025, it came in at $241 million, down 16.3% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- In prior years, Aes' Selling, General & Administrative was $288 million in FY2024 (+12.9%), $255 million in FY2023 (+23.2%), $207 million in FY2022 (+24.7%) and $166 million in FY2021 (+0.6%).
- Quarterly Selling, General & Administrative has run from a low of $36 million in Q4 2021 to a high of $90 million in Q4 2024 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in three of the last eight quarters, with an average decline of 4.8%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2022, with growth of 61.1%; the weakest was Q1 2026, with a decline of 28.6%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $55 million (Q1 2026), $69 million (Q4 2025) and $46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | - |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | - |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | - |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | - |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | - |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | - |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | - |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | - |
| 10 | Aes | 10.65 Bn | 8.66 Bn | 692.00 Mn | 62.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.00 Mn |
| Mar 31, 2026 | 55.00 Mn |
| Dec 31, 2025 | 69.00 Mn |
| Sep 30, 2025 | 46.00 Mn |
| Jun 30, 2025 | 49.00 Mn |
| Mar 31, 2025 | 77.00 Mn |
| Dec 31, 2024 | 90.00 Mn |
| Sep 30, 2024 | 57.00 Mn |
| Jun 30, 2024 | 66.00 Mn |
| Mar 31, 2024 | 75.00 Mn |
| Dec 31, 2023 | 64.00 Mn |
| Sep 30, 2023 | 64.00 Mn |
| Jun 30, 2023 | 72.00 Mn |
| Mar 31, 2023 | 55.00 Mn |
| Dec 31, 2022 | 58.00 Mn |
| Sep 30, 2022 | 51.00 Mn |
| Jun 30, 2022 | 46.00 Mn |
| Mar 31, 2022 | 52.00 Mn |
| Dec 31, 2021 | 36.00 Mn |
| Sep 30, 2021 | 39.00 Mn |
Aes 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=AES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "AES", "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=AES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();