FTAI Aviation (FTAI) Other Accumulated Expenses (2023 - 2026)
FTAI Aviation (FTAI) reported Other Accumulated Expenses of $89.09 million for Q2 2026, up 104.2% from $43.62 million a year earlier but down 7.9% from the prior quarter.
FTAI Aviation (FTAI) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, FTAI Aviation posted Other Accumulated Expenses of $62.2 million, down 38.1% from FY2024.
- By year, Other Accumulated Expenses came in at $100.57 million in FY2024 (+756.2%) and $11.75 million in FY2023.
- Five-year quarterly Other Accumulated Expenses spans a low of $11.75 million in Q4 2023 and a high of $100.57 million in Q4 2024.
- Year over year, Other Accumulated Expenses gained in three of the last four quarters, with growth averaging 207.1%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $96.77 million (Q1 2026), $62.2 million (Q4 2025) and $41.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 296.44 Bn | 254.96 Bn | 5.02 Bn |
| 2 | Rtx | 258.97 Bn | 227.24 Bn | 5.81 Bn |
| 3 | Boeing | 146.80 Bn | 53.49 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 137.01 Bn | 121.24 Bn | 2.44 Bn |
| 5 | General Dynamics | 94.12 Bn | 81.24 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 79.04 Bn | 75.38 Bn | 1.68 Bn |
| 7 | Northrop Grumman | 77.42 Bn | 64.88 Bn | 2.35 Bn |
| 8 | Howmet Aerospace | 74.83 Bn | 70.43 Bn | 951.00 Mn |
| 9 | Honeywell International | 68.88 Bn | 21.00 Bn | 3.65 Bn |
| 10 | FTAI Aviation | 15.94 Bn | 14.38 Bn | 317.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.09 Mn |
| Mar 31, 2026 | 96.77 Mn |
| Dec 31, 2025 | 62.20 Mn |
| Sep 30, 2025 | 41.29 Mn |
| Jun 30, 2025 | 43.62 Mn |
| Mar 31, 2025 | 91.06 Mn |
| Dec 31, 2024 | 100.57 Mn |
| Dec 31, 2023 | 11.75 Mn |
FTAI Aviation Other Accumulated 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=other-accumulated-expenses&ticker=FTAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();