FTAI Aviation (FTAI) Intangibles (2014 - 2026)
FTAI Aviation (FTAI) reported Intangibles of $13.05 million for Q2 2026, down 9.7% from $14.45 million a year earlier but up 1.4% from the prior quarter.
FTAI Aviation (FTAI) Intangibles (2014 - 2026) Analysis & Trends
At the end of FY2025, FTAI Aviation posted Intangibles of $19.93 million, down 52.8% from FY2024.
- Intangibles has a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- By year, Intangibles came in at $42.21 million in FY2024 (-16.6%), $50.59 million in FY2023 (+20.6%), $41.96 million in FY2022 (+35.5%) and $30.96 million in FY2021 (+64.8%).
- Five-year quarterly Intangibles spans a low of $12.87 million in Q1 2026 and a high of $101.46 million in Q1 2022.
- Year over year, Intangibles has now declined in each of the last nine quarters, with an average decline of 36.2% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was Q2 2022 (growth of 561.5%); the low point was Q2 2025 (a decline of 65.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $12.87 million (Q1 2026), $19.93 million (Q4 2025) and $18.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.30 Bn | 262.05 Bn | 5.02 Bn | 4.03 Bn |
| 2 | Rtx | 262.79 Bn | 232.77 Bn | 5.81 Bn | 30.65 Bn |
| 3 | Boeing | 148.22 Bn | 54.92 Bn | 2.41 Bn | 1.53 Bn |
| 4 | Lockheed Martin | 136.34 Bn | 120.57 Bn | 2.44 Bn | 1.74 Bn |
| 5 | General Dynamics | 94.90 Bn | 82.01 Bn | 2.18 Bn | 1.28 Bn |
| 6 | Motorola Solutions | 79.08 Bn | 75.44 Bn | 1.68 Bn | 2.95 Bn |
| 7 | Northrop Grumman | 78.49 Bn | 65.95 Bn | 2.35 Bn | - |
| 8 | Howmet Aerospace | 77.28 Bn | 72.89 Bn | 951.00 Mn | 869.00 Mn |
| 9 | Honeywell International | 69.19 Bn | 21.64 Bn | 3.65 Bn | 6.41 Bn |
| 10 | FTAI Aviation | 16.16 Bn | 14.60 Bn | 317.30 Mn | 13.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.05 Mn |
| Mar 31, 2026 | 12.87 Mn |
| Dec 31, 2025 | 19.93 Mn |
| Sep 30, 2025 | 18.68 Mn |
| Jun 30, 2025 | 14.45 Mn |
| Mar 31, 2025 | 16.04 Mn |
| Dec 31, 2024 | 42.21 Mn |
| Sep 30, 2024 | 38.00 Mn |
| Jun 30, 2024 | 42.14 Mn |
| Mar 31, 2024 | 46.58 Mn |
| Dec 31, 2023 | 50.59 Mn |
| Sep 30, 2023 | 41.47 Mn |
| Jun 30, 2023 | 44.68 Mn |
| Mar 31, 2023 | 45.73 Mn |
| Dec 31, 2022 | 41.96 Mn |
| Sep 30, 2022 | 29.42 Mn |
| Jun 30, 2022 | 95.85 Mn |
| Mar 31, 2022 | 101.46 Mn |
| Dec 31, 2021 | 30.96 Mn |
| Sep 30, 2021 | 80.74 Mn |
FTAI Aviation Intangibles 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=intangibles&ticker=FTAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();