Aes (AES) Accumulated Expenses (2009 - 2026)
Aes (AES) reported Accumulated Expenses of $1.52 billion for Q2 2026, up 37.3% from $1.11 billion a year earlier but down 13.3% from the prior quarter.
Analysis
Aes (AES) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Aes posted Accumulated Expenses of $2.22 billion, up 78.4% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $1.25 billion in FY2024 (-6.6%), $1.33 billion in FY2023 (-10.4%), $1.49 billion in FY2022 (+23.6%) and $1.21 billion in FY2021 (-1.5%).
- Five-year quarterly Accumulated Expenses spans a low of $1.04 billion in Q2 2024 and a high of $2.44 billion in Q3 2023.
- Year over year, Accumulated Expenses has now increased in each of the last six quarters, with growth averaging 14.5% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2023 (growth of 103.1%); the low point was Q2 2024 (a decline of 53.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.76 billion (Q1 2026), $2.22 billion (Q4 2025) and $1.36 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - |
| 10 | Aes | 10.63 Bn | 8.65 Bn | 692.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.52 Bn |
| Mar 31, 2026 | 1.76 Bn |
| Dec 31, 2025 | 2.22 Bn |
| Sep 30, 2025 | 1.36 Bn |
| Jun 30, 2025 | 1.11 Bn |
| Mar 31, 2025 | 1.32 Bn |
| Dec 31, 2024 | 1.25 Bn |
| Sep 30, 2024 | 1.18 Bn |
| Jun 30, 2024 | 1.04 Bn |
| Mar 31, 2024 | 1.27 Bn |
| Dec 31, 2023 | 1.33 Bn |
| Sep 30, 2023 | 2.44 Bn |
| Jun 30, 2023 | 2.23 Bn |
| Mar 31, 2023 | 2.10 Bn |
| Dec 31, 2022 | 1.49 Bn |
| Sep 30, 2022 | 1.21 Bn |
| Jun 30, 2022 | 1.10 Bn |
| Mar 31, 2022 | 1.14 Bn |
| Dec 31, 2021 | 1.21 Bn |
| Sep 30, 2021 | 1.05 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_KEY
import 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();