AerSale (ASLE) Asset Writedowns and Impairment (2020 - 2025)
AerSale (ASLE) posted Asset Writedowns and Impairment of $1 million for Q3 2025, down 15.3% from $1.18 million a year earlier but up 33.5% from the prior quarter.
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Analysis
AerSale (ASLE) Asset Writedowns and Impairment (2020 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Asset Writedowns and Impairment at AerSale was $4.47 million, up 116.7% year-over-year; for FY2024, it came in at $3.7 million, up 145.2% from FY2023.
- Annual Asset Writedowns and Impairment shows a five-year compound annual growth rate of -7.8% (FY2019 to FY2024).
- In prior years, AerSale's Asset Writedowns and Impairment was $1.51 million in FY2023 (-36.6%), $2.38 million in FY2022 (-65.8%), $6.94 million in FY2021 (-49.1%) and $13.65 million in FY2020 (+145.7%).
- Quarterly Asset Writedowns and Impairment has run from a low of -$50,000 in Q1 2022 to a high of $4.94 million in Q2 2021 over five years.
- On a year-over-year basis, Asset Writedowns and Impairment increased in four of the last eight quarters, with growth averaging 152.4%.
- The strongest year-over-year quarter for Asset Writedowns and Impairment in the past five years was Q4 2021, with growth of 752.2%; the weakest was Q2 2023, with a decline of 89.2%.
- According to Business Quant data, Asset Writedowns and Impairment for the three prior quarters was $750,000 (Q2 2025), $829,000 (Q1 2025) and $1.89 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | AerSale | 238.00 Mn | 217.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.00 Mn |
| Jun 30, 2025 | 750,000.00 |
| Mar 31, 2025 | 829,000.00 |
| Dec 31, 2024 | 1.89 Mn |
| Sep 30, 2024 | 1.18 Mn |
| Jun 30, 2024 | 123,000.00 |
| Mar 31, 2024 | 504,000.00 |
| Dec 31, 2023 | 252,000.00 |
| Sep 30, 2023 | 546,000.00 |
| Jun 30, 2023 | 200,000.00 |
| Mar 31, 2023 | 773,000.00 |
| Dec 31, 2022 | 366,000.00 |
| Sep 30, 2022 | 200,000.00 |
| Jun 30, 2022 | 1.86 Mn |
| Mar 31, 2022 | -50,000.00 |
| Dec 31, 2021 | 1.91 Mn |
| Sep 30, 2021 | 17,000.00 |
| Jun 30, 2021 | 4.94 Mn |
| Mar 31, 2021 | 74,000.00 |
| Dec 31, 2020 | 224,000.00 |
API Access
AerSale 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=ASLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "ASLE", "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=ASLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();