AerSale (ASLE) Revenue (2020 - 2025)
AerSale's Revenue was $71.19 million in Q3 2025, down 13.9% from $82.68 million a year earlier and down 33.7% from the prior quarter.
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Analysis
AerSale (ASLE) Revenue (2020 - 2025) Analysis & Trends
On a trailing twelve-month basis, AerSale's Revenue was $339.09 million through Sep 30, 2025, down 1.6% year-over-year; for FY2024, it came in at $345.07 million, up 3.2% from FY2023.
- Revenue shows a five-year compound annual growth rate of 2.6% (FY2019 to FY2024).
- In earlier years, Revenue was $334.5 million in FY2023 (-18.1%), $408.54 million in FY2022 (+20.0%), $340.44 million in FY2021 (+62.9%) and $208.94 million in FY2020 (-31.3%).
- Quarterly Revenue has moved between $49.38 million (Q4 2020) and $139.61 million (Q2 2022) over five years.
- Compared with a year earlier, Revenue was higher in four of the last eight quarters, with growth averaging 1.7%.
- The best year-over-year quarter for Revenue over five years was Q4 2021 (growth of 136.5%); the worst was Q2 2023 (a decline of 50.3%).
- Per Business Quant data, ASLE's Revenue in the three quarters before Q3 2025 was $107.38 million (Q2 2025), $65.78 million (Q1 2025) and $94.74 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 13.35 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 24.71 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 24.56 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 20.06 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 2.55 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 14.09 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 3.13 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 10.88 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 9.72 Bn |
| 10 | AerSale | 250.75 Mn | 230.66 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 71.19 Mn |
| Jun 30, 2025 | 107.38 Mn |
| Mar 31, 2025 | 65.78 Mn |
| Dec 31, 2024 | 94.74 Mn |
| Sep 30, 2024 | 82.68 Mn |
| Jun 30, 2024 | 77.10 Mn |
| Mar 31, 2024 | 90.54 Mn |
| Dec 31, 2023 | 94.42 Mn |
| Sep 30, 2023 | 92.48 Mn |
| Jun 30, 2023 | 69.33 Mn |
| Mar 31, 2023 | 78.27 Mn |
| Dec 31, 2022 | 95.13 Mn |
| Sep 30, 2022 | 51.00 Mn |
| Jun 30, 2022 | 139.61 Mn |
| Mar 31, 2022 | 122.81 Mn |
| Dec 31, 2021 | 116.78 Mn |
| Sep 30, 2021 | 73.30 Mn |
| Jun 30, 2021 | 91.92 Mn |
| Mar 31, 2021 | 58.44 Mn |
| Dec 31, 2020 | 49.38 Mn |
API Access
AerSale Revenue 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=revenue&ticker=ASLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ASLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();