Aes (AES) Operating Expenses (2009 - 2026)
Aes (AES) recorded Operating Expenses of $62 million in Q2 2026, up 26.5% from $49 million a year earlier and up 12.7% from the prior quarter.
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Analysis
Aes (AES) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Aes' Operating Expenses came in at $232 million as of Jun 30, 2026, down 15.0% 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 three of the last eight quarters, with an average decline of 4.8%.
- 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 $55 million (Q1 2026), $69 million (Q4 2025) and $46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | -140.00 Mn |
| 2 | National Grid | 78.23 Bn | 59.76 Bn | - | - |
| 3 | Dominion Energy | 53.03 Bn | 55.71 Bn | - | 4.15 Bn |
| 4 | Xcel Energy | 43.33 Bn | 38.23 Bn | - | 2.41 Bn |
| 5 | Wec Energy | 33.06 Bn | 33.29 Bn | 1.51 Bn | 1.63 Bn |
| 6 | Ameren | 27.51 Bn | 27.60 Bn | - | 1.63 Bn |
| 7 | Fortis | 26.94 Bn | 27.43 Bn | 1.60 Bn | 626.05 Mn |
| 8 | Atmos Energy | 26.53 Bn | 25.30 Bn | 870.85 Mn | - |
| 9 | American Water Works Company | 25.62 Bn | 25.03 Bn | - | 813.00 Mn |
| 10 | Aes | 10.60 Bn | 8.61 Bn | 692.00 Mn | 62.00 Mn |
Historic Data
Download Data
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 |
API Access
Aes 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=operating-expenses&ticker=AES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=AES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();