FTAI Aviation (FTAI) Cash & Equivalents (2014 - 2026)
FTAI Aviation (FTAI) recorded Cash & Equivalents of $337.2 million in Q2 2026, up 11.7% from $301.91 million a year earlier but down 18.2% from the prior quarter.
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Analysis
FTAI Aviation (FTAI) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2025, FTAI Aviation reported Cash & Equivalents of $300.48 million, up 161.0% from FY2024.
- Annual Cash & Equivalents has increased for three straight years, with a five-year compound annual growth rate of 19.8% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $115.12 million in FY2024 (+26.8%), $90.76 million in FY2023 (+170.4%), $33.57 million in FY2022 (-75.7%) and $138.21 million in FY2021 (+13.6%).
- Quarterly Cash & Equivalents has ranged from $15.6 million in Q3 2022 to $509.95 million in Q3 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for 12 consecutive quarters, with growth averaging 135.6% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 702.0% in Q2 2024, against a decline of 91.1% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $412.24 million (Q1 2026), $300.48 million (Q4 2025) and $509.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 8.75 Bn |
| 10 | FTAI Aviation | 17.14 Bn | 15.58 Bn | 317.30 Mn | 337.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 337.20 Mn |
| Mar 31, 2026 | 412.24 Mn |
| Dec 31, 2025 | 300.48 Mn |
| Sep 30, 2025 | 509.95 Mn |
| Jun 30, 2025 | 301.91 Mn |
| Mar 31, 2025 | 112.13 Mn |
| Dec 31, 2024 | 115.12 Mn |
| Sep 30, 2024 | 111.89 Mn |
| Jun 30, 2024 | 169.49 Mn |
| Mar 31, 2024 | 65.22 Mn |
| Dec 31, 2023 | 90.76 Mn |
| Sep 30, 2023 | 52.88 Mn |
| Jun 30, 2023 | 21.13 Mn |
| Mar 31, 2023 | 40.99 Mn |
| Dec 31, 2022 | 33.57 Mn |
| Sep 30, 2022 | 15.60 Mn |
| Jun 30, 2022 | 118.85 Mn |
| Mar 31, 2022 | 145.27 Mn |
| Dec 31, 2021 | 138.21 Mn |
| Sep 30, 2021 | 176.05 Mn |
API Access
FTAI Aviation Cash & Equivalents 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=cash-and-equivalents&ticker=FTAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();