AerSale (ASLE) Property, Plant & Equipment (Net) (2019 - 2025)
AerSale (ASLE) recorded Property, Plant & Equipment (Net) of $102.36 million in Q4 2025, up 50.9% from $67.85 million a year earlier and up 4.4% from the prior quarter.
AerSale (ASLE) Property, Plant & Equipment (Net) (2019 - 2025) Analysis & Trends
Starting with Q4 2019, AerSale's Property, Plant & Equipment (Net) history includes 22 quarters.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 67.2% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $67.85 million in FY2024 (+145.0%), $27.69 million in FY2023 (-11.5%), $31.29 million in FY2022 (-57.4%) and $73.36 million in FY2021 (+835.9%).
- The Q4 2025 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2019.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for seven consecutive quarters, with growth averaging 64.9% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 835.9% in Q4 2021, against a decline of 57.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $98.01 million (Q3 2025), $66.71 million (Q2 2025) and $37.42 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.14 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 16.97 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 16.32 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 11.39 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 2.82 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 7.58 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.17 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.30 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 4.59 Bn |
| 10 | AerSale | 238.00 Mn | 217.91 Mn | - | 102.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 102.36 Mn |
| Sep 30, 2025 | 98.01 Mn |
| Jun 30, 2025 | 66.71 Mn |
| Mar 31, 2025 | 37.42 Mn |
| Dec 31, 2024 | 67.85 Mn |
| Sep 30, 2024 | 40.16 Mn |
| Jun 30, 2024 | 32.68 Mn |
| Mar 31, 2024 | 30.39 Mn |
| Dec 31, 2023 | 27.69 Mn |
| Sep 30, 2023 | 30.10 Mn |
| Jun 30, 2023 | 25.55 Mn |
| Mar 31, 2023 | 33.56 Mn |
| Dec 31, 2022 | 31.29 Mn |
| Sep 30, 2022 | 11.96 Mn |
| Jun 30, 2022 | 10.05 Mn |
| Mar 31, 2022 | 8.49 Mn |
| Dec 31, 2021 | 73.36 Mn |
| Sep 30, 2021 | 7.40 Mn |
| Jun 30, 2021 | 7.68 Mn |
| Mar 31, 2021 | 7.77 Mn |
AerSale Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ASLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ASLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();