AerSale (ASLE) EBITDA (2020 - 2025)
AerSale's EBITDA was $7.64 million in Q3 2025, down 24.8% from $10.16 million a year earlier and down 55.2% from the prior quarter.
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Analysis
AerSale (ASLE) EBITDA (2020 - 2025) Analysis & Trends
On a trailing twelve-month basis, AerSale's EBITDA was $33.02 million through Sep 30, 2025, up 55.5% year-over-year; for FY2024, it came in at $25.79 million.
- EBITDA shows a five-year compound annual growth rate of -13.1% (FY2019 to FY2024).
- In earlier years, EBITDA was -$311,000 in FY2023, $66.03 million in FY2022 (-5.2%), $69.66 million in FY2021 (+96.2%) and $35.51 million in FY2020 (-31.9%).
- Quarterly EBITDA has moved between -$5.66 million (Q3 2022) and $34.37 million (Q2 2022) over five years.
- Compared with a year earlier, EBITDA was higher in three of the last five quarters, with growth averaging 308.4%.
- The best year-over-year quarter for EBITDA over five years was Q2 2025 (growth of 845.2%); the worst was Q1 2023 (a decline of 93.7%).
- Per Business Quant data, ASLE's EBITDA in the three quarters before Q3 2025 was $17.04 million (Q2 2025), -$1.7 million (Q1 2025) and $10.04 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 1.68 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 2.10 Bn |
| 10 | AerSale | 251.22 Mn | 231.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 7.64 Mn |
| Jun 30, 2025 | 17.04 Mn |
| Mar 31, 2025 | -1.70 Mn |
| Dec 31, 2024 | 10.04 Mn |
| Sep 30, 2024 | 10.16 Mn |
| Jun 30, 2024 | 1.80 Mn |
| Mar 31, 2024 | 7.44 Mn |
| Dec 31, 2023 | 1.82 Mn |
| Sep 30, 2023 | 587,000.00 |
| Jun 30, 2023 | -4.36 Mn |
| Mar 31, 2023 | 1.64 Mn |
| Dec 31, 2022 | 11.52 Mn |
| Sep 30, 2022 | -5.66 Mn |
| Jun 30, 2022 | 34.37 Mn |
| Mar 31, 2022 | 25.80 Mn |
| Dec 31, 2021 | 22.90 Mn |
| Sep 30, 2021 | 5.00 Mn |
| Jun 30, 2021 | 25.39 Mn |
| Mar 31, 2021 | 16.38 Mn |
| Dec 31, 2020 | 3.69 Mn |
API Access
AerSale EBITDA 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=ebitda&ticker=ASLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ASLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();