AerSale (ASLE) Return on Sales [ROS] (2020 - 2025)
AerSale's Return on Sales [ROS] was 4.04% in Q3 2025, up 1.62 percentage points from 2.41% a year earlier but down 7.62 percentage points from the prior quarter.
AerSale (ASLE) Return on Sales [ROS] (2020 - 2025) Analysis & Trends
On a trailing twelve-month basis, AerSale's Return on Sales [ROS] was 4.03% through Sep 30, 2025, up 2.94 percentage points year-over-year; for FY2024, it was 2.82%, up 6.04 percentage points from FY2023.
- Return on Sales [ROS] shows a five-year change of -4.43 percentage points (FY2019 to FY2024).
- In earlier years, Return on Sales [ROS] was -3.22% in FY2023 (-16.69 pp), 13.47% in FY2022 (-3.17 pp), 16.64% in FY2021 (+11.24 pp) and 5.40% in FY2020 (-1.85 pp).
- Quarterly Return on Sales [ROS] has moved between -16.66% (Q3 2022) and 24.13% (Q2 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in six of the last eight quarters, with an average year-over-year change of +1.80 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2021 (a gain of 45.74 percentage points); the worst was Q2 2023 (a drop of 32.58 percentage points).
- Per Business Quant data, ASLE's Return on Sales [ROS] in the three quarters before Q3 2025 was 11.65% (Q2 2025), -10.11% (Q1 2025) and 5.21% (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 18.37% |
| 10 | AerSale | 238.00 Mn | 217.91 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 4.04% |
| Jun 30, 2025 | 11.65% |
| Mar 31, 2025 | -10.11% |
| Dec 31, 2024 | 5.21% |
| Sep 30, 2024 | 2.41% |
| Jun 30, 2024 | -2.40% |
| Mar 31, 2024 | 5.15% |
| Dec 31, 2023 | -1.11% |
| Sep 30, 2023 | -2.09% |
| Jun 30, 2023 | -10.04% |
| Mar 31, 2023 | -1.06% |
| Dec 31, 2022 | 9.59% |
| Sep 30, 2022 | -16.66% |
| Jun 30, 2022 | 22.55% |
| Mar 31, 2022 | 18.68% |
| Dec 31, 2021 | 16.93% |
| Sep 30, 2021 | 2.50% |
| Jun 30, 2021 | 24.13% |
| Mar 31, 2021 | 22.06% |
| Dec 31, 2020 | -0.05% |
AerSale Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=ASLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=ASLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();