AerSale (ASLE) Other Operating Expenses (2018 - 2025)
AerSale (ASLE) recorded Other Operating Expenses of -$14.43 million in Q3 2025, compared with -$17.33 million a year earlier.
AerSale (ASLE) Other Operating Expenses (2018 - 2025) Analysis & Trends
On a TTM basis, AerSale's Other Operating Expenses came in at -$68.71 million as of Sep 30, 2025; for FY2024, it came in at -$71.39 million.
- Across earlier years, Other Operating Expenses came in at -$76.26 million in FY2023 and -$74.17 million in FY2022.
- The Q3 2025 figure is the highest quarterly Other Operating Expenses since Q3 2020.
- Per Business Quant, the preceding three quarters came in at -$16.87 million (Q2 2025), -$18.87 million (Q1 2025) and -$18.55 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | AerSale | 247.44 Mn | 227.35 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -14.43 Mn |
| Jun 30, 2025 | -16.87 Mn |
| Mar 31, 2025 | -18.87 Mn |
| Dec 31, 2024 | -18.55 Mn |
| Sep 30, 2024 | -17.33 Mn |
| Jun 30, 2024 | -17.54 Mn |
| Mar 31, 2024 | -17.97 Mn |
| Sep 30, 2020 | -13.37 Mn |
| Jun 30, 2020 | -13.66 Mn |
| Mar 31, 2020 | -13.15 Mn |
| Dec 31, 2019 | 660,074.00 |
| Sep 30, 2019 | 666,612.00 |
| Jun 30, 2019 | 162,884.00 |
| Mar 31, 2019 | 83,942.00 |
| Dec 31, 2018 | 451.00 |
AerSale Other Operating 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=other-operating-expenses&ticker=ASLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=ASLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();