AerSale (ASLE) Change in Inventory (2020 - 2025)
AerSale's Change in Inventory came in at $7.41 million for Q3 2025, up 23.1% from $6.02 million a year earlier and up 133.9% from the prior quarter.
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Analysis
AerSale (ASLE) Change in Inventory (2020 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, AerSale reported Change in Inventory of $65.73 million, up 4.5% year-over-year; for FY2024, it was $78.03 million, down 53.7% from FY2023.
- Going back by year, Change in Inventory was $168.63 million in FY2023 (+348.0%), $37.64 million in FY2022 (+5.5%), $35.67 million in FY2021 (-35.5%) and $55.28 million in FY2020.
- The five-year range for quarterly Change in Inventory is -$28.17 million (Q1 2022) to $85.3 million (Q2 2023).
- Year-over-year, Change in Inventory increased in two of the last seven quarters, with an average decline of 42.0%.
- The fastest year-over-year change in Change in Inventory over five years came in Q2 2023 (growth of 476.1%), and the weakest in Q4 2023 (a decline of 97.2%).
- Business Quant data shows ASLE's Change in Inventory at $3.17 million (Q2 2025), $39.71 million (Q1 2025) and $15.44 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 109.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 330.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.23 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 160.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 55.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | -80.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 156.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | -26.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 31.00 Mn |
| 10 | AerSale | 247.44 Mn | 227.35 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 7.41 Mn |
| Jun 30, 2025 | 3.17 Mn |
| Mar 31, 2025 | 39.71 Mn |
| Dec 31, 2024 | 15.44 Mn |
| Sep 30, 2024 | 6.02 Mn |
| Jun 30, 2024 | 32.61 Mn |
| Mar 31, 2024 | 23.96 Mn |
| Dec 31, 2023 | 319,000.00 |
| Sep 30, 2023 | 34.04 Mn |
| Jun 30, 2023 | 85.30 Mn |
| Mar 31, 2023 | 48.98 Mn |
| Dec 31, 2022 | 11.20 Mn |
| Sep 30, 2022 | 39.81 Mn |
| Jun 30, 2022 | 14.81 Mn |
| Mar 31, 2022 | -28.17 Mn |
| Dec 31, 2021 | -8.43 Mn |
| Sep 30, 2021 | 10.69 Mn |
| Jun 30, 2021 | 6.40 Mn |
| Mar 31, 2021 | 27.02 Mn |
| Dec 31, 2020 | 26.66 Mn |
API Access
AerSale Change in Inventory 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=change-in-inventory&ticker=ASLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=ASLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();