FTAI Aviation (FTAI) Property, Plant & Equipment (Net) (2014 - 2026)
FTAI Aviation (FTAI) posted Property, Plant & Equipment (Net) of $134.74 million for Q2 2026, up 22.0% from $110.48 million a year earlier and up 10.3% from the prior quarter.
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Analysis
FTAI Aviation (FTAI) Property, Plant & Equipment (Net) (2014 - 2026) Analysis & Trends
At the end of FY2025, FTAI Aviation's Property, Plant & Equipment (Net) came in at $120.07 million, up 11.7% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -34.1% (FY2020 to FY2025).
- In prior years, FTAI Aviation's Property, Plant & Equipment (Net) was $107.45 million in FY2024, $10.01 million in FY2022 (-73.8%) and $38.26 million in FY2021 (-96.0%).
- The Q2 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) since Q2 2022.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q3 2021, with growth of 84.8%; the weakest was Q1 2023, with a decline of 99.3%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $122.14 million (Q1 2026), $120.07 million (Q4 2025) and $113.95 million (Q3 2025).
Peer Set
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 | FTAI Aviation | 17.14 Bn | 15.58 Bn | 317.30 Mn | 134.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 134.74 Mn |
| Mar 31, 2026 | 122.14 Mn |
| Dec 31, 2025 | 120.07 Mn |
| Sep 30, 2025 | 113.95 Mn |
| Jun 30, 2025 | 110.48 Mn |
| Dec 31, 2024 | 107.45 Mn |
| Sep 30, 2023 | 13.45 Mn |
| Jun 30, 2023 | 12.12 Mn |
| Mar 31, 2023 | 11.44 Mn |
| Dec 31, 2022 | 10.01 Mn |
| Sep 30, 2022 | 47.67 Mn |
| Jun 30, 2022 | 1.64 Bn |
| Mar 31, 2022 | 1.59 Bn |
| Dec 31, 2021 | 38.26 Mn |
| Sep 30, 2021 | 1.70 Bn |
| Jun 30, 2021 | 1.01 Bn |
| Mar 31, 2021 | 1.00 Bn |
| Dec 31, 2020 | 964.36 Mn |
| Sep 30, 2020 | 917.87 Mn |
| Jun 30, 2020 | 849.13 Mn |
API Access
FTAI Aviation 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=FTAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "FTAI", "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=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();