Boeing (BA) Price to Book (2009 - 2026)
Boeing's Price to Book came in at 22.47 for Q3 2026, down 19.7% from the prior quarter.
Analysis
Boeing (BA) Price to Book (2009 - 2026) Analysis & Trends
For FY2025, Boeing's Price to Book was 30.24.
- The Q3 2026 figure represents the lowest quarterly Price to Book since Q1 2016.
- Business Quant data shows BA's Price to Book at 27.98 (Q2 2026), 26.21 (Q1 2026) and 30.24 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn |
| 10 | Honeywell International | 72.44 Bn | 32.19 Bn | 2.02 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 22.47 |
| Jun 30, 2026 | 27.98 |
| Mar 31, 2026 | 26.21 |
| Dec 31, 2025 | 30.24 |
| Mar 31, 2019 | 924.99 |
| Dec 31, 2018 | 456.14 |
| Mar 31, 2018 | 147.16 |
| Dec 31, 2017 | 103.85 |
| Sep 30, 2017 | 67.05 |
| Mar 31, 2017 | 80.69 |
| Dec 31, 2016 | 51.69 |
| Sep 30, 2016 | 37.82 |
| Jun 30, 2016 | 125.22 |
| Mar 31, 2016 | 19.69 |
| Dec 31, 2015 | 13.63 |
| Sep 30, 2015 | 12.93 |
| Jun 30, 2015 | 14.95 |
| Mar 31, 2015 | 12.92 |
| Dec 31, 2014 | 10.78 |
| Sep 30, 2014 | 6.20 |
API Access
Boeing Price to Book 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-book&ticker=BA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();