Aes (AES) Total Operating Expenses (2009 - 2026)
Aes (AES) recorded Operating Expenses of $68 million in Q3 2026, up 47.8% from $46 million a year earlier and up 9.7% from the prior quarter.
Aes (AES) Total Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Aes' Operating Expenses came in at $254 million as of Sep 30, 2026, down 3.1% year-over-year; for FY2025, it was $241 million, down 16.3% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $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 Operating Expenses has ranged from $36 million in Q4 2021 to $90 million in Q4 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 2.6%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 61.1% in Q4 2022, against a decline of 28.6% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $62 million (Q2 2026), $55 million (Q1 2026) and $69 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enel Chile | 299.49 Bn | 296.88 Bn | - |
| 2 | Nextera Energy | 179.92 Bn | 166.66 Bn | - |
| 3 | Southern | 105.56 Bn | 96.61 Bn | 5.92 Bn |
| 4 | Duke Energy | 99.44 Bn | 95.69 Bn | 5.66 Bn |
| 5 | National Grid | 82.69 Bn | 64.32 Bn | - |
| 6 | American Electric Power | 68.52 Bn | 66.31 Bn | 4.75 Bn |
| 7 | Dominion Energy | 59.67 Bn | 57.66 Bn | - |
| 8 | Entergy | 52.06 Bn | 38.50 Bn | - |
| 9 | Sempra | 51.32 Bn | 50.45 Bn | 2.89 Bn |
| 10 | Aes | 10.64 Bn | 3.55 Bn | 982.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 68.00 Mn |
| 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 |
Aes Total Operating Expenses 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-operating-expenses&ticker=AES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-operating-expenses", "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=total-operating-expenses&ticker=AES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();