FTAI Aviation (FTAI) Interest Expenses (2014 - 2026)
FTAI Aviation (FTAI) reported Interest Expenses of $64.1 million for Q2 2026, up 0.2% from $63.97 million a year earlier and up 4.4% from the prior quarter.
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Analysis
FTAI Aviation (FTAI) Interest Expenses (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, FTAI Aviation's Interest Expenses came in at $247.26 million, up 1.0% year-over-year; for FY2025, it came in at $247.75 million, up 11.7% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of 23.2% (FY2020 to FY2025).
- By year, Interest Expenses came in at $221.72 million in FY2024 (+37.2%), $161.64 million in FY2023 (-4.5%), $169.19 million in FY2022 (+9.1%) and $155.02 million in FY2021 (+77.3%).
- The Q2 2026 figure ranks as the highest quarterly Interest Expenses since Q4 2021.
- Year over year, Interest Expenses gained in seven of the last eight quarters, with growth averaging 16.7%.
- The high point for year-over-year Interest Expenses in five years was Q4 2021 (growth of 865.1%); the low point was Q3 2021 (a decline of 97.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $61.41 million (Q1 2026), $60.96 million (Q4 2025) and $60.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.54 Bn | 262.06 Bn | 5.02 Bn | 231.00 Mn |
| 2 | Rtx | 262.72 Bn | 230.99 Bn | 5.81 Bn | - |
| 3 | Boeing | 148.13 Bn | 54.82 Bn | 2.41 Bn | 600.00 Mn |
| 4 | Lockheed Martin | 135.78 Bn | 122.50 Bn | 2.45 Bn | 266.00 Mn |
| 5 | General Dynamics | 94.57 Bn | 81.69 Bn | 2.18 Bn | - |
| 6 | Motorola Solutions | 79.37 Bn | 75.71 Bn | 1.68 Bn | 109.00 Mn |
| 7 | Northrop Grumman | 78.67 Bn | 66.13 Bn | 2.35 Bn | 158.00 Mn |
| 8 | Howmet Aerospace | 77.61 Bn | 73.21 Bn | 951.00 Mn | - |
| 9 | Honeywell International | 69.07 Bn | 21.20 Bn | 3.65 Bn | 363.00 Mn |
| 10 | FTAI Aviation | 16.09 Bn | 14.53 Bn | 317.30 Mn | 64.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.10 Mn |
| Mar 31, 2026 | 61.41 Mn |
| Dec 31, 2025 | 60.96 Mn |
| Sep 30, 2025 | 60.78 Mn |
| Jun 30, 2025 | 63.97 Mn |
| Mar 31, 2025 | 62.04 Mn |
| Dec 31, 2024 | 60.88 Mn |
| Sep 30, 2024 | 57.94 Mn |
| Jun 30, 2024 | 55.20 Mn |
| Mar 31, 2024 | 47.71 Mn |
| Dec 31, 2023 | 43.66 Mn |
| Sep 30, 2023 | 40.19 Mn |
| Jun 30, 2023 | 38.50 Mn |
| Mar 31, 2023 | 39.29 Mn |
| Dec 31, 2022 | 37.00 Mn |
| Sep 30, 2022 | 40.17 Mn |
| Jun 30, 2022 | 47.89 Mn |
| Mar 31, 2022 | 44.14 Mn |
| Dec 31, 2021 | 153.28 Mn |
| Sep 30, 2021 | 584,000.00 |
API Access
FTAI Aviation Interest Expenses 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=interest-expenses&ticker=FTAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();