FTAI Aviation (FTAI) Receivables (2014 - 2026)
FTAI Aviation's Receivables was $168.2 million in Q2 2026, down 34.0% from $254.72 million a year earlier and down 4.9% from the prior quarter.
Powered by 
Analysis
FTAI Aviation (FTAI) Receivables (2014 - 2026) Analysis & Trends
At the end of FY2025, Receivables at FTAI Aviation came in at $226.74 million, up 50.3% from FY2024.
- Receivables shows a five-year compound annual growth rate of 19.7% (FY2020 to FY2025).
- In earlier years, Receivables was $150.82 million in FY2024 (-30.6%), $217.46 million in FY2023 (+46.3%), $148.64 million in FY2022 (+0.6%) and $147.82 million in FY2021 (+60.0%).
- The Q2 2026 figure marks the lowest quarterly Receivables since Q4 2024.
- Compared with a year earlier, Receivables was higher in 1 of the last seven quarters, with an average decline of 12.5%.
- The best year-over-year quarter for Receivables over five years was Q4 2021 (growth of 60.0%); the worst was Q2 2026 (a decline of 34.0%).
- Per Business Quant data, FTAI's Receivables in the three quarters before Q2 2026 was $176.87 million (Q1 2026), $226.74 million (Q4 2025) and $232.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 15.83 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 32.92 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 1.04 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 48.50 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 3.62 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 10.26 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 10.85 Bn |
| 10 | FTAI Aviation | 17.15 Bn | 15.59 Bn | 317.30 Mn | 168.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.20 Mn |
| Mar 31, 2026 | 176.87 Mn |
| Dec 31, 2025 | 226.74 Mn |
| Sep 30, 2025 | 232.47 Mn |
| Jun 30, 2025 | 254.72 Mn |
| Mar 31, 2025 | 223.50 Mn |
| Dec 31, 2024 | 150.82 Mn |
| Sep 30, 2024 | 318.54 Mn |
| Jun 30, 2024 | 279.25 Mn |
| Mar 31, 2024 | 267.90 Mn |
| Dec 31, 2023 | 217.46 Mn |
| Dec 31, 2022 | 148.64 Mn |
| Dec 31, 2021 | 147.82 Mn |
| Dec 31, 2020 | 92.39 Mn |
| Dec 31, 2019 | 49.47 Mn |
| Sep 30, 2019 | 121.00 Mn |
| Jun 30, 2019 | 130.00 Mn |
| Mar 31, 2019 | 128.00 Mn |
| Dec 31, 2018 | 46.41 Mn |
| Sep 30, 2018 | 50.00 Mn |
API Access
FTAI Aviation Receivables 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=receivables&ticker=FTAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();