FTAI Aviation (FTAI) Total Liabilities (2014 - 2026)
FTAI Aviation's Total Liabilities was $4.09 billion in Q2 2026, up 3.8% from $3.94 billion a year earlier but down 0.3% from the prior quarter.
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Analysis
FTAI Aviation (FTAI) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at FTAI Aviation came in at $4.04 billion, up 2.1% from FY2024.
- Total Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $3.96 billion in FY2024 (+41.9%), $2.79 billion in FY2023 (+15.7%), $2.41 billion in FY2022 (-35.6%) and $3.74 billion in FY2021 (+63.4%).
- Quarterly Total Liabilities has moved between $224.89 million (Q3 2022) and $4.24 billion (Q1 2025) over five years.
- Compared with a year earlier, Total Liabilities was higher in seven of the last eight quarters, with growth averaging 19.4%.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2022 (growth of 66.9%); the worst was Q3 2022 (a decline of 93.5%).
- Per Business Quant data, FTAI's Total Liabilities in the three quarters before Q2 2026 was $4.1 billion (Q1 2026), $4.04 billion (Q4 2025) and $3.99 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.30 Bn | 262.05 Bn | 5.02 Bn | 109.44 Bn |
| 2 | Rtx | 262.79 Bn | 232.77 Bn | 5.81 Bn | 105.63 Bn |
| 3 | Boeing | 148.22 Bn | 54.92 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 136.34 Bn | 120.57 Bn | 2.44 Bn | 54.45 Bn |
| 5 | General Dynamics | 94.90 Bn | 82.01 Bn | 2.18 Bn | 33.34 Bn |
| 6 | Motorola Solutions | 79.08 Bn | 75.44 Bn | 1.68 Bn | 16.55 Bn |
| 7 | Northrop Grumman | 78.49 Bn | 65.95 Bn | 2.35 Bn | 33.81 Bn |
| 8 | Howmet Aerospace | 77.28 Bn | 72.89 Bn | 951.00 Mn | 7.52 Bn |
| 9 | Honeywell International | 69.19 Bn | 21.64 Bn | 3.65 Bn | 58.49 Bn |
| 10 | FTAI Aviation | 16.16 Bn | 14.60 Bn | 317.30 Mn | 4.09 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.09 Bn |
| Mar 31, 2026 | 4.10 Bn |
| Dec 31, 2025 | 4.04 Bn |
| Sep 30, 2025 | 3.99 Bn |
| Jun 30, 2025 | 3.94 Bn |
| Mar 31, 2025 | 4.24 Bn |
| Dec 31, 2024 | 3.96 Bn |
| Sep 30, 2024 | 3.62 Bn |
| Jun 30, 2024 | 3.38 Bn |
| Mar 31, 2024 | 3.00 Bn |
| Dec 31, 2023 | 2.79 Bn |
| Sep 30, 2023 | 2.54 Bn |
| Jun 30, 2023 | 2.43 Bn |
| Mar 31, 2023 | 2.37 Bn |
| Dec 31, 2022 | 2.41 Bn |
| Sep 30, 2022 | 224.89 Mn |
| Jun 30, 2022 | 4.19 Bn |
| Mar 31, 2022 | 3.99 Bn |
| Dec 31, 2021 | 3.74 Bn |
| Sep 30, 2021 | 3.48 Bn |
API Access
FTAI Aviation Total Liabilities 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=total-liabilities&ticker=FTAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();