Boeing (BA) EV to EBITDA (2009 - 2026)
Boeing's EV to EBITDA came in at 22.23 for Q2 2026, up 3.4% from the prior quarter.
Powered by 
Analysis
Boeing (BA) EV to EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Boeing reported EV to EBITDA of 11.45; for FY2025, it came in at 21.75.
- Going back by year, EV to EBITDA was 130.54 in FY2023.
- The Q2 2026 figure represents the highest quarterly EV to EBITDA since Q2 2024.
Peer Set
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 | TransDigm | 61.31 Bn | 49.40 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.23 |
| Mar 31, 2026 | 21.49 |
| Dec 31, 2025 | 21.75 |
| Jun 30, 2024 | 765.55 |
| Mar 31, 2024 | 97.66 |
| Dec 31, 2023 | 130.54 |
| Sep 30, 2023 | 213.31 |
| Dec 31, 2019 | 590.09 |
| Sep 30, 2019 | 30.70 |
| Jun 30, 2019 | 25.93 |
| Mar 31, 2019 | 15.22 |
| Dec 31, 2018 | 12.66 |
| Sep 30, 2018 | 15.61 |
| Jun 30, 2018 | 13.77 |
| Mar 31, 2018 | 13.84 |
| Dec 31, 2017 | 13.55 |
| Sep 30, 2017 | 12.25 |
| Jun 30, 2017 | 9.56 |
| Mar 31, 2017 | 11.95 |
| Dec 31, 2016 | 11.54 |
API Access
Boeing 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=BA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();