FTAI Aviation (FTAI) Capital Expenditures (2014 - 2026)
FTAI Aviation's Capital Expenditures was $75.26 million in Q2 2026, down 48.0% from $144.72 million a year earlier and down 14.3% from the prior quarter.
FTAI Aviation (FTAI) Capital Expenditures (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, FTAI Aviation's Capital Expenditures was $409.72 million through Jun 30, 2026, down 63.5% year-over-year; for FY2025, it came in at $658.8 million, down 42.6% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $1.15 billion in FY2024 (+53.0%), $749.78 million in FY2023 (+17.5%), $638.33 million in FY2022 (+11.5%) and $572.62 million in FY2021 (+78.1%).
- The Q2 2026 figure marks the lowest quarterly Capital Expenditures since Q3 2022.
- Compared with a year earlier, Capital Expenditures has declined for six straight quarters, with an average decline of 16.9% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2023 (growth of 355.1%); the worst was Q3 2022 (a decline of 69.0%).
- Per Business Quant data, FTAI's Capital Expenditures in the three quarters before Q2 2026 was $87.79 million (Q1 2026), $169.02 million (Q4 2025) and $77.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | 335.00 Mn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 669.00 Mn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 733.00 Mn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | 318.00 Mn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 104.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 234.00 Mn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 55.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 302.00 Mn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 315.00 Mn |
| 10 | FTAI Aviation | 17.17 Bn | 15.61 Bn | 317.30 Mn | 75.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.26 Mn |
| Mar 31, 2026 | 87.79 Mn |
| Dec 31, 2025 | 169.02 Mn |
| Sep 30, 2025 | 77.65 Mn |
| Jun 30, 2025 | 144.72 Mn |
| Mar 31, 2025 | 267.42 Mn |
| Dec 31, 2024 | 524.98 Mn |
| Sep 30, 2024 | 186.19 Mn |
| Jun 30, 2024 | 159.19 Mn |
| Mar 31, 2024 | 276.99 Mn |
| Dec 31, 2023 | 242.86 Mn |
| Sep 30, 2023 | 181.46 Mn |
| Jun 30, 2023 | 197.95 Mn |
| Mar 31, 2023 | 127.51 Mn |
| Dec 31, 2022 | 277.69 Mn |
| Sep 30, 2022 | 39.88 Mn |
| Jun 30, 2022 | 101.33 Mn |
| Mar 31, 2022 | 219.44 Mn |
| Dec 31, 2021 | 273.71 Mn |
| Sep 30, 2021 | 128.78 Mn |
FTAI Aviation Capital Expenditures 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=capital-expenditures&ticker=FTAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();