AerSale (ASLE) Depreciation and Depletion (2020 - 2025)
AerSale's Depreciation and Depletion was $1.4 million in Q3 2025, down 12.5% from $1.6 million a year earlier but up 7.7% from the prior quarter.
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Analysis
AerSale (ASLE) Depreciation and Depletion (2020 - 2025) Analysis & Trends
On a trailing twelve-month basis, AerSale's Depreciation and Depletion was $5.8 million through Sep 30, 2025, up 17.5% year-over-year; for FY2024, it came in at $5.5 million, up 47.2% from FY2023.
- Depreciation and Depletion has now increased for three consecutive years, with a five-year compound annual growth rate of 19.9% (FY2019 to FY2024).
- In earlier years, Depreciation and Depletion was $3.74 million in FY2023 (+66.6%), $2.24 million in FY2022 (+12.3%), $2 million in FY2021 (-6.6%) and $2.14 million in FY2020 (-3.8%).
- Quarterly Depreciation and Depletion has moved between $497,000 (Q4 2021) and $1.7 million (Q4 2024) over five years.
- Compared with a year earlier, Depreciation and Depletion was higher in seven of the last eight quarters, with growth averaging 35.2%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q1 2023 (growth of 80.0%); the worst was Q1 2021 (a decline of 16.7%).
- Per Business Quant data, ASLE's Depreciation and Depletion in the three quarters before Q3 2025 was $1.3 million (Q2 2025), $1.4 million (Q1 2025) and $1.7 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 156.00 Mn |
| 10 | AerSale | 238.00 Mn | 217.91 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.40 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.40 Mn |
| Dec 31, 2024 | 1.70 Mn |
| Sep 30, 2024 | 1.60 Mn |
| Jun 30, 2024 | 1.20 Mn |
| Mar 31, 2024 | 1.10 Mn |
| Dec 31, 2023 | 1.04 Mn |
| Sep 30, 2023 | 900,000.00 |
| Jun 30, 2023 | 900,000.00 |
| Mar 31, 2023 | 900,000.00 |
| Dec 31, 2022 | 642,000.00 |
| Sep 30, 2022 | 600,000.00 |
| Jun 30, 2022 | 600,000.00 |
| Mar 31, 2022 | 500,000.00 |
| Dec 31, 2021 | 497,000.00 |
| Sep 30, 2021 | 500,000.00 |
| Jun 30, 2021 | 500,000.00 |
| Mar 31, 2021 | 500,000.00 |
| Dec 31, 2020 | 539,000.00 |
API Access
AerSale Depreciation and Depletion 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=depreciation-and-depletion&ticker=ASLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=ASLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();