Aes (AES) Asset Writedowns and Impairment (2013 - 2026)
Aes (AES) recorded Asset Writedowns and Impairment of $30 million in Q2 2026, compared with -$144 million a year earlier and up 150.0% from the prior quarter.
Aes (AES) Asset Writedowns and Impairment (2013 - 2026) Analysis & Trends
On a TTM basis, Aes' Asset Writedowns and Impairment came in at $474 million as of Jun 30, 2026, up 143.1% year-over-year; for FY2025, it came in at $337 million, down 9.9% from FY2024.
- Annual Asset Writedowns and Impairment has declined for three straight years, with a five-year compound annual growth rate of -20.6% (FY2020 to FY2025).
- Across earlier years, Asset Writedowns and Impairment came in at $374 million in FY2024 (-65.3%), $1.08 billion in FY2023 (-37.1%), $1.72 billion in FY2022 (+8.9%) and $1.58 billion in FY2021 (+47.7%).
- Quarterly Asset Writedowns and Impairment has ranged from -$144 million in Q2 2025 to $1.18 billion in Q4 2022 over the past five years.
- On a year-over-year basis, Asset Writedowns and Impairment rose in two of the last six quarters, with an average decline of 22.8%.
- Peak year-over-year performance for Asset Writedowns and Impairment in the last five years was growth of 488.1% in Q4 2022, against a decline of 99.8% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $12 million (Q1 2026), $369 million (Q4 2025) and $63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - |
| 10 | Aes | 10.63 Bn | 8.65 Bn | 692.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.00 Mn |
| Mar 31, 2026 | 12.00 Mn |
| Dec 31, 2025 | 369.00 Mn |
| Sep 30, 2025 | 63.00 Mn |
| Jun 30, 2025 | -144.00 Mn |
| Mar 31, 2025 | 49.00 Mn |
| Dec 31, 2024 | 216.00 Mn |
| Sep 30, 2024 | 74.00 Mn |
| Jun 30, 2024 | 38.00 Mn |
| Mar 31, 2024 | 46.00 Mn |
| Dec 31, 2023 | 721.00 Mn |
| Sep 30, 2023 | 159.00 Mn |
| Jun 30, 2023 | 179.00 Mn |
| Mar 31, 2023 | 20.00 Mn |
| Dec 31, 2022 | 1.18 Bn |
| Sep 30, 2022 | 50.00 Mn |
| Jun 30, 2022 | 482.00 Mn |
| Mar 31, 2022 | 1.00 Mn |
| Dec 31, 2021 | 201.00 Mn |
| Sep 30, 2021 | 29.00 Mn |
Aes Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=AES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=AES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();