Aes (AES) EBITDA (2009 - 2026)
Aes (AES) posted EBITDA of $1.33 billion for Q3 2026, up 25.9% from $1.05 billion a year earlier and up 24.7% from the prior quarter.
Powered by 
Analysis
Aes (AES) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Aes was $4.32 billion, up 36.7% year-over-year; for FY2025, it was $3.43 billion, up 4.2% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In prior years, Aes' EBITDA was $3.29 billion in FY2024 (-3.1%), $3.4 billion in FY2023 (-0.5%), $3.41 billion in FY2022 (-5.2%) and $3.6 billion in FY2021 (+0.1%).
- The Q3 2026 figure stands as the highest quarterly EBITDA since Q4 2011.
- On a year-over-year basis, EBITDA has increased in each of the last five quarters, with growth averaging 15.5% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2026, with growth of 45.2%; the weakest was Q4 2021, with a decline of 30.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $1.06 billion (Q2 2026), $1.02 billion (Q1 2026) and $914 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 299.49 Bn | 296.88 Bn | - | - |
| 2 | Nextera Energy | 179.92 Bn | 166.66 Bn | - | 4.28 Bn |
| 3 | Southern | 105.56 Bn | 96.61 Bn | 5.92 Bn | 3.37 Bn |
| 4 | Duke Energy | 99.44 Bn | 95.69 Bn | 5.66 Bn | 3.87 Bn |
| 5 | National Grid | 82.69 Bn | 64.32 Bn | - | - |
| 6 | American Electric Power | 68.52 Bn | 66.31 Bn | 4.75 Bn | 2.84 Bn |
| 7 | Dominion Energy | 59.67 Bn | 57.66 Bn | - | 1.02 Bn |
| 8 | Entergy | 52.06 Bn | 38.50 Bn | - | 2.16 Bn |
| 9 | Sempra | 51.32 Bn | 50.45 Bn | 2.89 Bn | 1.14 Bn |
| 10 | Aes | 10.64 Bn | 3.55 Bn | 982.00 Mn | 1.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.33 Bn |
| Jun 30, 2026 | 1.06 Bn |
| Mar 31, 2026 | 1.02 Bn |
| Dec 31, 2025 | 914.00 Mn |
| Sep 30, 2025 | 1.05 Bn |
| Jun 30, 2025 | 758.00 Mn |
| Mar 31, 2025 | 701.00 Mn |
| Dec 31, 2024 | 649.00 Mn |
| Sep 30, 2024 | 977.00 Mn |
| Jun 30, 2024 | 802.00 Mn |
| Mar 31, 2024 | 862.00 Mn |
| Dec 31, 2023 | 741.00 Mn |
| Sep 30, 2023 | 1.14 Bn |
| Jun 30, 2023 | 703.00 Mn |
| Mar 31, 2023 | 812.00 Mn |
| Dec 31, 2022 | 777.00 Mn |
| Sep 30, 2022 | 1.11 Bn |
| Jun 30, 2022 | 781.00 Mn |
| Mar 31, 2022 | 748.00 Mn |
| Dec 31, 2021 | 784.00 Mn |
API Access
Aes EBITDA 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=ebitda&ticker=AES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();