Aes (AES) EBITDA (2009 - 2026)
Aes (AES) posted EBITDA of $1.06 billion for Q2 2026, up 40.4% from $758 million a year earlier and up 4.5% from the prior quarter.
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Analysis
Aes (AES) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Aes was $4.05 billion, up 31.3% 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 Q2 2026 figure stands as the highest quarterly EBITDA since Q3 2023.
- On a year-over-year basis, EBITDA has increased in each of the last four quarters, with growth averaging 10.4% 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 $1.02 billion (Q1 2026), $914 million (Q4 2025) and $1.05 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | 487.00 Mn |
| 2 | National Grid | 78.23 Bn | 59.76 Bn | - | - |
| 3 | Dominion Energy | 53.03 Bn | 55.71 Bn | - | 1.02 Bn |
| 4 | Xcel Energy | 43.33 Bn | 38.23 Bn | - | 1.36 Bn |
| 5 | Wec Energy | 33.06 Bn | 33.29 Bn | 1.51 Bn | 817.70 Mn |
| 6 | Ameren | 27.51 Bn | 27.60 Bn | - | 883.00 Mn |
| 7 | Fortis | 26.94 Bn | 27.43 Bn | 1.60 Bn | 973.06 Mn |
| 8 | Atmos Energy | 26.53 Bn | 25.30 Bn | 870.85 Mn | 521.94 Mn |
| 9 | American Water Works Company | 25.62 Bn | 25.03 Bn | - | 782.00 Mn |
| 10 | Aes | 10.60 Bn | 8.61 Bn | 692.00 Mn | 1.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 978.00 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();