FTAI Aviation (FTAI) EV to EBITDA (2015 - 2024)
FTAI Aviation's EV to EBITDA was 142.80 in Q1 2024, up 478.8% from 24.67 a year earlier.
FTAI Aviation (FTAI) EV to EBITDA (2015 - 2024) Analysis & Trends
On a trailing twelve-month basis, FTAI Aviation's EV to EBITDA was 139.28 through Mar 31, 2024, up 501.3% year-over-year; for FY2023, it came in at 89.12, up 250.8% from FY2022.
- EV to EBITDA has now increased for four consecutive years.
- In earlier years, EV to EBITDA was 25.41 in FY2022 (+44.9%), 17.53 in FY2021 (+82.8%), 9.59 in FY2020 (+250.9%) and 2.73 in FY2019 (-44.0%).
- The Q1 2024 figure marks the highest quarterly EV to EBITDA in data going back to Q2 2015.
- The best year-over-year quarter for EV to EBITDA over five years was Q1 2021 (growth of 823.4%); the worst was Q1 2020 (a decline of 75.5%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | FTAI Aviation | 17.15 Bn | 15.59 Bn | 317.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 142.80 |
| Sep 30, 2023 | 22.75 |
| Jun 30, 2023 | 33.49 |
| Mar 31, 2023 | 24.67 |
| Dec 31, 2022 | 39.33 |
| Dec 31, 2021 | 19.46 |
| Sep 30, 2021 | 10.51 |
| Jun 30, 2021 | 14.27 |
| Mar 31, 2021 | 11.79 |
| Dec 31, 2020 | 9.01 |
| Sep 30, 2020 | 3.10 |
| Jun 30, 2020 | 2.22 |
| Mar 31, 2020 | 1.28 |
| Dec 31, 2019 | 2.74 |
| Sep 30, 2019 | 3.39 |
| Jun 30, 2019 | 3.84 |
| Mar 31, 2019 | 5.21 |
| Dec 31, 2018 | 4.88 |
| Sep 30, 2018 | 6.66 |
| Jun 30, 2018 | 8.30 |
FTAI Aviation EV to EBITDA 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=ev-to-ebitda&ticker=FTAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=FTAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();