AerSale (ASLE) Receivables (2019 - 2025)
AerSale (ASLE) reported Receivables of $42.65 million for Q4 2025, up 23.1% from $34.65 million a year earlier but down 2.2% from the prior quarter.
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Analysis
AerSale (ASLE) Receivables (2019 - 2025) Analysis & Trends
Dating back to Q4 2019, AerSale's Receivables record includes 22 quarters.
- Receivables has increased for three consecutive years, though with a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- By year, Receivables came in at $34.65 million in FY2024 (+10.9%), $31.24 million in FY2023 (+8.2%), $28.87 million in FY2022 (-9.3%) and $31.85 million in FY2021 (-43.2%).
- Five-year quarterly Receivables spans a low of $28.87 million in Q4 2022 and a high of $51.01 million in Q2 2021.
- Year over year, Receivables has now increased in each of the last seven quarters, with growth averaging 16.5% over the last eight quarters.
- The high point for year-over-year Receivables in five years was Q2 2024 (growth of 35.7%); the low point was Q4 2021 (a decline of 43.2%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $43.61 million (Q3 2025), $44.53 million (Q2 2025) and $39.87 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 15.83 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 32.92 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 1.04 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 48.50 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 3.62 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 10.26 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 10.85 Bn |
| 10 | AerSale | 251.22 Mn | 231.13 Mn | - | 42.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 42.65 Mn |
| Sep 30, 2025 | 43.61 Mn |
| Jun 30, 2025 | 44.53 Mn |
| Mar 31, 2025 | 39.87 Mn |
| Dec 31, 2024 | 34.65 Mn |
| Sep 30, 2024 | 39.75 Mn |
| Jun 30, 2024 | 43.27 Mn |
| Mar 31, 2024 | 30.06 Mn |
| Dec 31, 2023 | 31.24 Mn |
| Sep 30, 2023 | 29.72 Mn |
| Jun 30, 2023 | 31.89 Mn |
| Mar 31, 2023 | 36.27 Mn |
| Dec 31, 2022 | 28.87 Mn |
| Sep 30, 2022 | 39.22 Mn |
| Jun 30, 2022 | 43.90 Mn |
| Mar 31, 2022 | 42.89 Mn |
| Dec 31, 2021 | 31.85 Mn |
| Sep 30, 2021 | 43.76 Mn |
| Jun 30, 2021 | 51.01 Mn |
| Mar 31, 2021 | 48.51 Mn |
API Access
AerSale Receivables 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=receivables&ticker=ASLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ASLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();