FTAI Aviation (FTAI) Accounts Payables (2014 - 2026)
FTAI Aviation (FTAI) reported Accounts Payables of $261.67 million for Q2 2026, up 213.8% from $83.39 million a year earlier and up 28.4% from the prior quarter.
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Analysis
FTAI Aviation (FTAI) Accounts Payables (2014 - 2026) Analysis & Trends
At the end of FY2025, FTAI Aviation posted Accounts Payables of $208.22 million, up 201.3% from FY2024.
- Accounts Payables has a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- By year, Accounts Payables came in at $69.12 million in FY2024 (+66.2%), $41.59 million in FY2023 (-51.9%), $86.45 million in FY2022 (-0.7%) and $87.04 million in FY2021 (-23.1%).
- The Q2 2026 figure ranks as the highest quarterly Accounts Payables in data going back to Q4 2014.
- Year over year, Accounts Payables has now increased in each of the last three quarters, with growth averaging 70.7% over the last eight quarters.
- The high point for year-over-year Accounts Payables in five years was Q3 2023 (growth of 302.4%); the low point was Q3 2022 (a decline of 87.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $203.75 million (Q1 2026), $208.22 million (Q4 2025) and $147.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 295.43 Bn | 253.94 Bn | 5.02 Bn | 10.98 Bn |
| 2 | Rtx | 258.65 Bn | 226.92 Bn | 5.81 Bn | 17.80 Bn |
| 3 | Boeing | 148.98 Bn | 55.67 Bn | 2.41 Bn | 14.35 Bn |
| 4 | Lockheed Martin | 139.53 Bn | 123.76 Bn | 2.44 Bn | 5.01 Bn |
| 5 | General Dynamics | 94.40 Bn | 81.52 Bn | 2.18 Bn | 2.87 Bn |
| 6 | Motorola Solutions | 79.77 Bn | 76.11 Bn | 1.68 Bn | 957.00 Mn |
| 7 | Northrop Grumman | 78.39 Bn | 65.85 Bn | 2.35 Bn | 3.28 Bn |
| 8 | Howmet Aerospace | 74.22 Bn | 69.82 Bn | 951.00 Mn | 1.15 Bn |
| 9 | Honeywell International | 70.30 Bn | 22.42 Bn | 3.65 Bn | 6.39 Bn |
| 10 | FTAI Aviation | 15.85 Bn | 14.29 Bn | 317.30 Mn | 261.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 261.67 Mn |
| Mar 31, 2026 | 203.75 Mn |
| Dec 31, 2025 | 208.22 Mn |
| Sep 30, 2025 | 147.35 Mn |
| Jun 30, 2025 | 83.39 Mn |
| Mar 31, 2025 | 110.80 Mn |
| Dec 31, 2024 | 69.12 Mn |
| Sep 30, 2024 | 196.66 Mn |
| Jun 30, 2024 | 128.71 Mn |
| Mar 31, 2024 | 139.25 Mn |
| Dec 31, 2023 | 41.59 Mn |
| Sep 30, 2023 | 108.58 Mn |
| Jun 30, 2023 | 79.77 Mn |
| Mar 31, 2023 | 105.07 Mn |
| Dec 31, 2022 | 86.45 Mn |
| Sep 30, 2022 | 26.98 Mn |
| Jun 30, 2022 | 253.21 Mn |
| Mar 31, 2022 | 191.13 Mn |
| Dec 31, 2021 | 87.04 Mn |
| Sep 30, 2021 | 213.44 Mn |
API Access
FTAI Aviation Accounts Payables 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=accounts-payables&ticker=FTAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();