FTAI Aviation (FTAI) Revenue (2014 - 2026)
FTAI Aviation's Revenue was $953.09 million in Q2 2026, up 40.9% from $676.24 million a year earlier and up 14.7% from the prior quarter.
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Analysis
FTAI Aviation (FTAI) Revenue (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, FTAI Aviation's Revenue was $3.11 billion through Jun 30, 2026, up 45.3% year-over-year; for FY2025, it came in at $2.51 billion, up 44.5% from FY2024.
- Revenue has now increased for five consecutive years, with a five-year compound annual growth rate of 53.1% (FY2020 to FY2025).
- In earlier years, Revenue was $1.73 billion in FY2024 (+48.2%), $1.17 billion in FY2023 (+65.3%), $708.41 million in FY2022 (+111.1%) and $335.58 million in FY2021 (+12.6%).
- The Q2 2026 figure marks the highest quarterly Revenue in data going back to Q1 2014.
- Compared with a year earlier, Revenue has increased for 21 straight quarters, with growth averaging 51.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 11.6% (Q1 2024) to 219.2% (Q1 2023).
- Per Business Quant data, FTAI's Revenue in the three quarters before Q2 2026 was $830.7 million (Q1 2026), $662.03 million (Q4 2025) and $667.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 13.35 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 24.71 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 24.56 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 20.06 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 2.55 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 14.09 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 3.13 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 10.88 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 9.72 Bn |
| 10 | FTAI Aviation | 17.14 Bn | 15.58 Bn | 317.30 Mn | 953.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 953.09 Mn |
| Mar 31, 2026 | 830.70 Mn |
| Dec 31, 2025 | 662.03 Mn |
| Sep 30, 2025 | 667.06 Mn |
| Jun 30, 2025 | 676.24 Mn |
| Mar 31, 2025 | 502.08 Mn |
| Dec 31, 2024 | 498.82 Mn |
| Sep 30, 2024 | 465.79 Mn |
| Jun 30, 2024 | 443.59 Mn |
| Mar 31, 2024 | 326.69 Mn |
| Dec 31, 2023 | 312.74 Mn |
| Sep 30, 2023 | 291.10 Mn |
| Jun 30, 2023 | 274.35 Mn |
| Mar 31, 2023 | 292.72 Mn |
| Dec 31, 2022 | 274.29 Mn |
| Sep 30, 2022 | 230.37 Mn |
| Jun 30, 2022 | 112.06 Mn |
| Mar 31, 2022 | 91.69 Mn |
| Dec 31, 2021 | 107.10 Mn |
| Sep 30, 2021 | 93.94 Mn |
API Access
FTAI Aviation Revenue 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=revenue&ticker=FTAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();