Aes (AES) Accumulated Expenses (2009 - 2026)
Aes (AES) reported Accumulated Expenses of $1.81 billion for Q3 2026, up 5.9% from $1.71 billion a year earlier but down 0.2% from the prior quarter.
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Analysis
Aes (AES) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Aes posted Accumulated Expenses of $2.49 billion, up 65.8% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $1.5 billion in FY2024 (-8.9%), $1.65 billion in FY2023 (-5.1%), $1.74 billion in FY2022 (+25.3%) and $1.39 billion in FY2021 (-1.9%).
- Five-year quarterly Accumulated Expenses spans a low of $1.29 billion in Q2 2024 and a high of $2.82 billion in Q3 2023.
- Year over year, Accumulated Expenses has now increased in each of the last seven quarters, with growth averaging 18.0% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2023 (growth of 98.4%); the low point was Q2 2024 (a decline of 49.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $1.81 billion (Q2 2026), $2.07 billion (Q1 2026) and $2.49 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Wisconsin Electric Power | 99,216.00 Bn | 99,215.99 Bn | 911.30 Mn |
| 2 | Enel Chile | 301.57 Bn | 301.57 Bn | 1.33 Bn |
| 3 | Nextera Energy | 180.93 Bn | 179.04 Bn | - |
| 4 | Southern | 109.04 Bn | 101.70 Bn | 7.31 Bn |
| 5 | Duke Energy | 100.59 Bn | 99.24 Bn | 6.37 Bn |
| 6 | National Grid | 86.94 Bn | 59.27 Bn | - |
| 7 | American Electric Power | 69.61 Bn | 68.67 Bn | 4.75 Bn |
| 8 | Entergy | 53.37 Bn | 42.94 Bn | - |
| 9 | Sempra | 51.29 Bn | 84.11 Bn | - |
| 10 | Aes | 10.65 Bn | 8.64 Bn | 982.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.81 Bn |
| Jun 30, 2026 | 1.81 Bn |
| Mar 31, 2026 | 2.07 Bn |
| Dec 31, 2025 | 2.49 Bn |
| Sep 30, 2025 | 1.71 Bn |
| Jun 30, 2025 | 1.39 Bn |
| Mar 31, 2025 | 1.63 Bn |
| Dec 31, 2024 | 1.50 Bn |
| Sep 30, 2024 | 1.51 Bn |
| Jun 30, 2024 | 1.29 Bn |
| Mar 31, 2024 | 1.59 Bn |
| Dec 31, 2023 | 1.65 Bn |
| Sep 30, 2023 | 2.82 Bn |
| Jun 30, 2023 | 2.54 Bn |
| Mar 31, 2023 | 2.40 Bn |
| Dec 31, 2022 | 1.74 Bn |
| Sep 30, 2022 | 1.42 Bn |
| Jun 30, 2022 | 1.31 Bn |
| Mar 31, 2022 | 1.34 Bn |
| Dec 31, 2021 | 1.39 Bn |
API Access
Aes Accumulated 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=accumulated-expenses&ticker=AES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();