FTAI Aviation (FTAI) Accumulated Expenses (2023 - 2026)
FTAI Aviation (FTAI) reported Accumulated Expenses of $100.16 million for Q2 2026, down 23.6% from $131.17 million a year earlier and down 26.6% from the prior quarter.
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Analysis
FTAI Aviation (FTAI) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, FTAI Aviation posted Accumulated Expenses of $90.01 million, down 7.1% from FY2024.
- By year, Accumulated Expenses came in at $96.91 million in FY2024 (+35.9%) and $71.32 million in FY2023.
- Five-year quarterly Accumulated Expenses spans a low of $71.32 million in Q4 2023 and a high of $142.1 million in Q1 2025.
- Year over year, Accumulated Expenses has now declined in each of the last three quarters, with growth averaging 0.3% over the last four quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $136.5 million (Q1 2026), $90.01 million (Q4 2025) and $128.94 million (Q3 2025).
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 | 100.16 Mn |
| Mar 31, 2026 | 136.50 Mn |
| Dec 31, 2025 | 90.01 Mn |
| Sep 30, 2025 | 128.94 Mn |
| Jun 30, 2025 | 131.17 Mn |
| Mar 31, 2025 | 142.10 Mn |
| Dec 31, 2024 | 96.91 Mn |
| Dec 31, 2023 | 71.32 Mn |
API Access
FTAI Aviation 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=accumulated-expenses&ticker=FTAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();