Boeing (BA) Price to Earnings (2009 - 2026)
Boeing's (BA) Price to Earnings stood at 20.17 in Q3 2026, down 75.4% from the prior quarter.
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Analysis
Boeing (BA) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Boeing's Price to Earnings came in at 87.31.
- The Q3 2026 figure is the lowest quarterly Price to Earnings since Q4 2018.
- Per Business Quant, the preceding three quarters came in at 81.86 (Q2 2026), 81.59 (Q1 2026) and 87.31 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,651.46 Bn | 1,413.17 Bn | 9.10 Bn |
| 2 | General Electric | 341.86 Bn | 300.61 Bn | 5.02 Bn |
| 3 | Rtx | 267.69 Bn | 237.67 Bn | 5.81 Bn |
| 4 | Lockheed Martin | 137.00 Bn | 121.23 Bn | 2.44 Bn |
| 5 | Boeing | 134.94 Bn | 43.90 Bn | 2.17 Bn |
| 6 | General Dynamics | 97.88 Bn | 83.11 Bn | 2.25 Bn |
| 7 | Motorola Solutions | 87.85 Bn | 84.32 Bn | 1.77 Bn |
| 8 | Howmet Aerospace | 87.47 Bn | 83.22 Bn | 1.00 Bn |
| 9 | Northrop Grumman | 78.02 Bn | 65.48 Bn | 2.35 Bn |
| 10 | Honeywell International | 70.02 Bn | 29.54 Bn | 2.02 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.17 |
| Jun 30, 2026 | 81.86 |
| Mar 31, 2026 | 81.59 |
| Dec 31, 2025 | 87.31 |
| Sep 30, 2019 | 56.39 |
| Jun 30, 2019 | 41.03 |
| Mar 31, 2019 | 21.19 |
| Dec 31, 2018 | 17.89 |
| Sep 30, 2018 | 20.40 |
| Jun 30, 2018 | 19.67 |
| Mar 31, 2018 | 20.43 |
| Dec 31, 2017 | 21.04 |
| Sep 30, 2017 | 22.38 |
| Jun 30, 2017 | 16.16 |
| Mar 31, 2017 | 20.33 |
| Dec 31, 2016 | 20.26 |
| Sep 30, 2016 | 18.97 |
| Jun 30, 2016 | 21.83 |
| Mar 31, 2016 | 15.99 |
| Dec 31, 2015 | 19.23 |
API Access
Boeing Price to Earnings 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=price-to-earnings&ticker=BA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();