FTAI Aviation (FTAI) Total Non-Current Liabilities (2014 - 2026)
FTAI Aviation (FTAI) recorded Total Non-Current Liabilities of $3.96 billion in Q2 2026, up 3.2% from $3.84 billion a year earlier but down 0.4% from the prior quarter.
FTAI Aviation (FTAI) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, FTAI Aviation reported Total Non-Current Liabilities of $3.91 billion, up 1.3% from FY2024.
- Annual Total Non-Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $3.86 billion in FY2024 (+40.4%), $2.75 billion in FY2023 (+15.8%), $2.37 billion in FY2022 (-35.8%) and $3.7 billion in FY2021 (+64.3%).
- Quarterly Total Non-Current Liabilities has ranged from $177.5 million in Q3 2022 to $4.16 billion in Q1 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in seven of the last eight quarters, with growth averaging 18.6%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 64.3% in Q4 2021, against a decline of 94.8% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.98 billion (Q1 2026), $3.91 billion (Q4 2025) and $3.86 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.30 Bn | 262.05 Bn | 5.02 Bn | 95.58 Bn |
| 2 | Rtx | 262.79 Bn | 232.77 Bn | 5.81 Bn | 82.00 Mn |
| 3 | Boeing | 148.22 Bn | 54.92 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 136.34 Bn | 120.57 Bn | 2.44 Bn | 48.98 Bn |
| 5 | General Dynamics | 94.90 Bn | 82.01 Bn | 2.18 Bn | 14.57 Bn |
| 6 | Motorola Solutions | 79.08 Bn | 75.44 Bn | 1.68 Bn | 14.44 Bn |
| 7 | Northrop Grumman | 78.49 Bn | 65.95 Bn | 2.35 Bn | 31.46 Bn |
| 8 | Howmet Aerospace | 77.28 Bn | 72.89 Bn | 951.00 Mn | 6.90 Bn |
| 9 | Honeywell International | 69.19 Bn | 21.64 Bn | 3.65 Bn | 52.22 Bn |
| 10 | FTAI Aviation | 16.16 Bn | 14.60 Bn | 317.30 Mn | 3.96 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.96 Bn |
| Mar 31, 2026 | 3.98 Bn |
| Dec 31, 2025 | 3.91 Bn |
| Sep 30, 2025 | 3.86 Bn |
| Jun 30, 2025 | 3.84 Bn |
| Mar 31, 2025 | 4.16 Bn |
| Dec 31, 2024 | 3.86 Bn |
| Sep 30, 2024 | 3.49 Bn |
| Jun 30, 2024 | 3.28 Bn |
| Mar 31, 2024 | 2.90 Bn |
| Dec 31, 2023 | 2.75 Bn |
| Sep 30, 2023 | 2.45 Bn |
| Jun 30, 2023 | 2.35 Bn |
| Mar 31, 2023 | 2.30 Bn |
| Dec 31, 2022 | 2.34 Bn |
| Sep 30, 2022 | 151.60 Mn |
| Jun 30, 2022 | 3.88 Bn |
| Mar 31, 2022 | 3.73 Bn |
| Dec 31, 2021 | 3.68 Bn |
| Sep 30, 2021 | 3.37 Bn |
FTAI Aviation Total 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=total-non-current-liabilities&ticker=FTAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();