FTAI Aviation (FTAI) Other Non-Current Liabilities (2014 - 2026)
FTAI Aviation's Other Non-Current Liabilities came in at $124.26 million for Q2 2026, up 26.6% from $98.11 million a year earlier and up 2.7% from the prior quarter.
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Analysis
FTAI Aviation (FTAI) Other Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, FTAI Aviation's Other Non-Current Liabilities was $129.37 million, up 32.2% from FY2024.
- Other Non-Current Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 28.4% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $97.85 million in FY2024 (+142.5%), $40.35 million in FY2023 (+10.7%), $36.47 million in FY2022 (-9.2%) and $40.15 million in FY2021 (+8.3%).
- The five-year range for quarterly Other Non-Current Liabilities is $33.77 million (Q1 2023) to $283.65 million (Q2 2022).
- Year-over-year, Other Non-Current Liabilities has increased for 12 consecutive quarters, with growth averaging 60.3% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q2 2022 (growth of 695.4%), and the weakest in Q1 2023 (a decline of 85.2%).
- Business Quant data shows FTAI's Other Non-Current Liabilities at $121.03 million (Q1 2026), $129.37 million (Q4 2025) and $126.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 303.30 Bn | 262.05 Bn | 5.02 Bn |
| 2 | Rtx | 262.79 Bn | 232.77 Bn | 5.81 Bn |
| 3 | Boeing | 148.22 Bn | 54.92 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 136.34 Bn | 120.57 Bn | 2.44 Bn |
| 5 | General Dynamics | 94.90 Bn | 82.01 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 79.08 Bn | 75.44 Bn | 1.68 Bn |
| 7 | Northrop Grumman | 78.49 Bn | 65.95 Bn | 2.35 Bn |
| 8 | Howmet Aerospace | 77.28 Bn | 72.89 Bn | 951.00 Mn |
| 9 | Honeywell International | 69.19 Bn | 21.64 Bn | 3.65 Bn |
| 10 | FTAI Aviation | 16.16 Bn | 14.60 Bn | 317.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 124.26 Mn |
| Mar 31, 2026 | 121.03 Mn |
| Dec 31, 2025 | 129.37 Mn |
| Sep 30, 2025 | 126.80 Mn |
| Jun 30, 2025 | 98.11 Mn |
| Mar 31, 2025 | 84.58 Mn |
| Dec 31, 2024 | 97.85 Mn |
| Sep 30, 2024 | 129.77 Mn |
| Jun 30, 2024 | 97.44 Mn |
| Mar 31, 2024 | 102.57 Mn |
| Dec 31, 2023 | 40.35 Mn |
| Sep 30, 2023 | 89.32 Mn |
| Jun 30, 2023 | 83.09 Mn |
| Mar 31, 2023 | 66.61 Mn |
| Dec 31, 2022 | 69.31 Mn |
| Sep 30, 2022 | 73.29 Mn |
| Jun 30, 2022 | 311.41 Mn |
| Mar 31, 2022 | 259.68 Mn |
| Dec 31, 2021 | 64.04 Mn |
| Sep 30, 2021 | 106.21 Mn |
API Access
FTAI Aviation Other Non-Current 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=other-non-current-liabilities&ticker=FTAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();