FTAI Aviation (FTAI) Gains from Sales and Divestitures (2014 - 2026)
FTAI Aviation (FTAI) posted Gains from Sales and Divestitures of $4.97 million for Q2 2026, down 92.8% from $69.2 million a year earlier and down 96.0% from the prior quarter.
FTAI Aviation (FTAI) Gains from Sales and Divestitures (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gains from Sales and Divestitures at FTAI Aviation was $119.67 million, down 62.7% year-over-year; for FY2025, it came in at $377.54 million, down 0.1% from FY2024.
- Annual Gains from Sales and Divestitures shows a five-year compound annual growth rate of 209.4% (FY2020 to FY2025).
- In prior years, FTAI Aviation's Gains from Sales and Divestitures was $377.91 million in FY2024 (+135.1%), $160.74 million in FY2023 (+13.5%), $141.68 million in FY2022 (+189.0%) and $49.03 million in FY2021.
- Quarterly Gains from Sales and Divestitures has run from a low of -$17.4 million in Q4 2025 to a high of $133.56 million in Q4 2024 over five years.
- On a year-over-year basis, Gains from Sales and Divestitures increased in three of the last seven quarters, with growth averaging 87.4%.
- The strongest year-over-year quarter for Gains from Sales and Divestitures in the past five years was Q4 2021, with growth of 802.9%; the weakest was Q2 2026, with a decline of 92.8%.
- According to Business Quant data, Gains from Sales and Divestitures for the three prior quarters was $122.9 million (Q1 2026), -$17.4 million (Q4 2025) and $9.21 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.97 Mn |
| Mar 31, 2026 | 122.90 Mn |
| Dec 31, 2025 | -17.40 Mn |
| Sep 30, 2025 | 9.21 Mn |
| Jun 30, 2025 | 69.20 Mn |
| Mar 31, 2025 | 19.42 Mn |
| Dec 31, 2024 | 133.56 Mn |
| Sep 30, 2024 | 98.27 Mn |
| Jun 30, 2024 | 88.02 Mn |
| Mar 31, 2024 | 58.06 Mn |
| Dec 31, 2023 | 50.23 Mn |
| Sep 30, 2023 | 34.55 Mn |
| Jun 30, 2023 | 44.30 Mn |
| Mar 31, 2023 | 31.66 Mn |
| Dec 31, 2022 | 35.25 Mn |
| Sep 30, 2022 | 26.49 Mn |
| Jun 30, 2022 | 63.65 Mn |
| Mar 31, 2022 | 16.29 Mn |
| Dec 31, 2021 | 31.56 Mn |
| Sep 30, 2021 | 12.67 Mn |
FTAI Aviation Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=FTAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();