FTAI Aviation (FTAI) Goodwill & Intangibles (2014 - 2026)
FTAI Aviation's Goodwill & Intangibles was $107.27 million in Q2 2026, up 19.1% from $90.08 million a year earlier and up 0.2% from the prior quarter.
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Analysis
FTAI Aviation (FTAI) Goodwill & Intangibles (2014 - 2026) Analysis & Trends
At the end of FY2025, Goodwill & Intangibles at FTAI Aviation came in at $114.15 million, up 10.5% from FY2024.
- Goodwill & Intangibles has now increased for three consecutive years, though with a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- In earlier years, Goodwill & Intangibles was $103.28 million in FY2024 (+87.0%), $55.22 million in FY2023 (+31.6%), $41.96 million in FY2022 (-85.4%) and $288.1 million in FY2021 (+103.6%).
- Quarterly Goodwill & Intangibles has moved between $29.42 million (Q3 2022) and $359.43 million (Q1 2022) over five years.
- Compared with a year earlier, Goodwill & Intangibles has increased for 12 straight quarters, with growth averaging 51.6% over the last eight quarters.
- The best year-over-year quarter for Goodwill & Intangibles over five years was Q2 2022 (growth of 161.4%); the worst was Q3 2022 (a decline of 90.8%).
- Per Business Quant data, FTAI's Goodwill & Intangibles in the three quarters before Q2 2026 was $107.09 million (Q1 2026), $114.15 million (Q4 2025) and $101.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 295.43 Bn | 253.94 Bn | 5.02 Bn |
| 2 | Rtx | 258.65 Bn | 226.92 Bn | 5.81 Bn |
| 3 | Boeing | 148.98 Bn | 55.67 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 139.53 Bn | 123.76 Bn | 2.44 Bn |
| 5 | General Dynamics | 94.40 Bn | 81.52 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 79.77 Bn | 76.11 Bn | 1.68 Bn |
| 7 | Northrop Grumman | 78.39 Bn | 65.85 Bn | 2.35 Bn |
| 8 | Howmet Aerospace | 74.22 Bn | 69.82 Bn | 951.00 Mn |
| 9 | Honeywell International | 70.30 Bn | 22.42 Bn | 3.65 Bn |
| 10 | FTAI Aviation | 15.85 Bn | 14.29 Bn | 317.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.27 Mn |
| Mar 31, 2026 | 107.09 Mn |
| Dec 31, 2025 | 114.15 Mn |
| Sep 30, 2025 | 101.69 Mn |
| Jun 30, 2025 | 90.08 Mn |
| Mar 31, 2025 | 77.11 Mn |
| Dec 31, 2024 | 103.28 Mn |
| Sep 30, 2024 | 69.53 Mn |
| Jun 30, 2024 | 46.77 Mn |
| Mar 31, 2024 | 51.21 Mn |
| Dec 31, 2023 | 55.22 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 | 358.66 Mn |
| Mar 31, 2022 | 359.43 Mn |
| Dec 31, 2021 | 288.10 Mn |
| Sep 30, 2021 | 320.68 Mn |
API Access
FTAI Aviation Goodwill & 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=goodwill-and-intangibles&ticker=FTAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();