Boeing (BA) EPS (Basic) (2009 - 2026)
Boeing's EPS (Basic) came in at -$0.67 for Q2 2026, compared with -$0.92 a year earlier.
Analysis
Boeing (BA) EPS (Basic) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Boeing reported EPS (Basic) of $2.64; for FY2025, it was $2.49.
- Going back by year, EPS (Basic) was -$18.35 in FY2024, -$3.67 in FY2023, -$8.29 in FY2022 and -$7.15 in FY2021.
- The five-year range for quarterly EPS (Basic) is -$9.97 (Q3 2024) to $10.70 (Q4 2025).
- Business Quant data shows BA's EPS (Basic) at -$0.11 (Q1 2026), $10.70 (Q4 2025) and -$7.14 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 2.28 |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 1.58 |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | -0.67 |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 7.98 |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 1.34 |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 4.29 |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 3.36 |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 7.70 |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 17.92 |
| 10 | TransDigm | 61.31 Bn | 49.40 Bn | 1.63 Bn | 9.39 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.67 |
| Mar 31, 2026 | -0.11 |
| Dec 31, 2025 | 10.70 |
| Sep 30, 2025 | -7.14 |
| Jun 30, 2025 | -0.92 |
| Mar 31, 2025 | -0.16 |
| Dec 31, 2024 | -6.06 |
| Sep 30, 2024 | -9.97 |
| Jun 30, 2024 | -2.33 |
| Mar 31, 2024 | -0.56 |
| Dec 31, 2023 | -0.04 |
| Sep 30, 2023 | -2.69 |
| Jun 30, 2023 | -0.25 |
| Mar 31, 2023 | -0.69 |
| Dec 31, 2022 | -1.07 |
| Sep 30, 2022 | -5.49 |
| Jun 30, 2022 | 0.32 |
| Mar 31, 2022 | -2.06 |
| Dec 31, 2021 | -7.05 |
| Sep 30, 2021 | -0.19 |
API Access
Boeing EPS (Basic) 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=eps-basic&ticker=BA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();