Boeing (BA) EV to FCF (2009 - 2024)
Boeing's (BA) EV to FCF stood at 86.00 in Q1 2024, up 285.6% from 22.30 a year earlier and up 168.4% from the prior quarter.
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Analysis
Boeing (BA) EV to FCF (2009 - 2024) Analysis & Trends
On a TTM basis, Boeing's EV to FCF came in at 52.59 as of Mar 31, 2024, up 280.1% year-over-year; for FY2023, it was 32.04, down 23.7% from FY2022.
- Across earlier years, EV to FCF came in at 42.01 in FY2022.
- The Q1 2024 figure is the highest quarterly EV to FCF since Q3 2019.
- Per Business Quant, the preceding three quarters came in at 32.04 (Q4 2023), 22.24 (Q3 2023) and 14.51 (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn |
| 10 | TransDigm | 64.75 Bn | 52.75 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 86.00 |
| Dec 31, 2023 | 32.04 |
| Sep 30, 2023 | 22.24 |
| Jun 30, 2023 | 14.51 |
| Mar 31, 2023 | 22.30 |
| Dec 31, 2022 | 42.01 |
| Sep 30, 2019 | 242.57 |
| Jun 30, 2019 | 24.98 |
| Mar 31, 2019 | 15.75 |
| Dec 31, 2018 | 13.13 |
| Sep 30, 2018 | 14.78 |
| Jun 30, 2018 | 14.63 |
| Mar 31, 2018 | 14.25 |
| Dec 31, 2017 | 14.47 |
| Sep 30, 2017 | 12.44 |
| Jun 30, 2017 | 9.71 |
| Mar 31, 2017 | 10.86 |
| Dec 31, 2016 | 11.31 |
| Sep 30, 2016 | 8.80 |
| Jun 30, 2016 | 9.16 |
API Access
Boeing EV to FCF 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-fcf&ticker=BA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "ticker": "BA", "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-fcf&ticker=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();