AerSale (ASLE) Total Non-Current Liabilities (2019 - 2025)
AerSale (ASLE) reported Total Non-Current Liabilities of $215.45 million for Q4 2025, up 44.5% from $149.05 million a year earlier but down 5.8% from the prior quarter.
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Analysis
AerSale (ASLE) Total Non-Current Liabilities (2019 - 2025) Analysis & Trends
Dating back to Q4 2019, AerSale's Total Non-Current Liabilities record includes 21 quarters.
- Total Non-Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 44.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $149.05 million in FY2024 (+36.9%), $108.86 million in FY2023 (+26.7%), $85.93 million in FY2022 (+14.3%) and $75.2 million in FY2021 (+121.1%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $34.95 million in Q1 2021 and a high of $230.55 million in Q2 2025.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with growth averaging 41.3% over the last seven quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 7.0% in Q1 2023 to 184.0% in Q1 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 102.53 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 48.28 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 6.90 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 14.57 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 52.22 Bn |
| 10 | AerSale | 250.75 Mn | 230.66 Mn | - | 215.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 215.45 Mn |
| Sep 30, 2025 | 228.77 Mn |
| Jun 30, 2025 | 230.55 Mn |
| Dec 31, 2024 | 149.05 Mn |
| Sep 30, 2024 | 149.88 Mn |
| Jun 30, 2024 | 148.84 Mn |
| Mar 31, 2024 | 119.65 Mn |
| Dec 31, 2023 | 108.86 Mn |
| Sep 30, 2023 | 102.49 Mn |
| Jun 30, 2023 | 105.61 Mn |
| Mar 31, 2023 | 106.22 Mn |
| Dec 31, 2022 | 85.93 Mn |
| Sep 30, 2022 | 74.03 Mn |
| Jun 30, 2022 | 69.12 Mn |
| Mar 31, 2022 | 99.27 Mn |
| Dec 31, 2021 | 75.20 Mn |
| Sep 30, 2021 | 50.44 Mn |
| Jun 30, 2021 | 38.24 Mn |
| Mar 31, 2021 | 34.95 Mn |
| Dec 31, 2020 | 34.01 Mn |
API Access
AerSale Total Non-Current 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-non-current-liabilities&ticker=ASLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ASLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();