AerSale (ASLE) Total Liabilities (2018 - 2025)
AerSale's Total Liabilities came in at $216.04 million for Q4 2025, up 44.9% from $149.1 million a year earlier but down 5.7% from the prior quarter.
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Analysis
AerSale (ASLE) Total Liabilities (2018 - 2025) Analysis & Trends
Going back to Q4 2018, AerSale's Total Liabilities data covers 28 quarters.
- Total Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 41.8% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $149.1 million in FY2024 (+36.9%), $108.92 million in FY2023 (+25.8%), $86.6 million in FY2022 (+10.2%) and $78.61 million in FY2021 (+108.6%).
- The five-year range for quarterly Total Liabilities is $38.69 million (Q1 2021) to $230.76 million (Q2 2025).
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 41.3% over the last seven quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2022 (growth of 162.6%), and the weakest in Q3 2021 (a decline of 37.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.49 Bn |
| 10 | AerSale | 251.22 Mn | 231.13 Mn | - | 216.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 216.04 Mn |
| Sep 30, 2025 | 229.20 Mn |
| Jun 30, 2025 | 230.76 Mn |
| Dec 31, 2024 | 149.10 Mn |
| Sep 30, 2024 | 149.93 Mn |
| Jun 30, 2024 | 148.90 Mn |
| Mar 31, 2024 | 119.71 Mn |
| Dec 31, 2023 | 108.92 Mn |
| Sep 30, 2023 | 102.64 Mn |
| Jun 30, 2023 | 105.67 Mn |
| Mar 31, 2023 | 106.29 Mn |
| Dec 31, 2022 | 86.60 Mn |
| Sep 30, 2022 | 75.66 Mn |
| Jun 30, 2022 | 71.00 Mn |
| Mar 31, 2022 | 101.59 Mn |
| Dec 31, 2021 | 78.61 Mn |
| Sep 30, 2021 | 54.43 Mn |
| Jun 30, 2021 | 42.22 Mn |
| Mar 31, 2021 | 38.69 Mn |
| Dec 31, 2020 | 37.67 Mn |
API Access
AerSale Total Liabilities 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=total-liabilities&ticker=ASLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ASLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();