Boeing (BA) EPS (Diluted) (2009 - 2026)
Boeing (BA) reported EPS (Diluted) of -$0.26 for Q3 2026, compared with -$7.14 a year earlier.
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Analysis
Boeing (BA) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Boeing's EPS (Diluted) came in at $9.22; for FY2025, it was $2.48.
- By year, EPS (Diluted) came in at -$18.35 in FY2024, -$3.67 in FY2023, -$8.29 in FY2022 and -$7.15 in FY2021.
- Five-year quarterly EPS (Diluted) spans a low of -$9.97 in Q3 2024 and a high of $10.67 in Q4 2025.
- Per Business Quant data, the three quarters before Q3 2026 came in at -$0.67 (Q2 2026), -$0.11 (Q1 2026) and $10.67 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,722.87 Bn | 1,722.87 Bn | 9.10 Bn | 0.35 |
| 2 | General Electric | 345.20 Bn | 303.72 Bn | 5.02 Bn | 2.20 |
| 3 | Rtx | 269.97 Bn | 238.24 Bn | 5.81 Bn | 1.89 |
| 4 | Lockheed Martin | 137.94 Bn | 122.17 Bn | 2.44 Bn | 7.97 |
| 5 | Boeing | 136.62 Bn | 45.58 Bn | 2.17 Bn | -0.26 |
| 6 | General Dynamics | 98.71 Bn | 83.95 Bn | 2.25 Bn | 4.49 |
| 7 | Howmet Aerospace | 88.13 Bn | 83.88 Bn | 1.00 Bn | 1.42 |
| 8 | Motorola Solutions | 86.35 Bn | 82.81 Bn | 1.77 Bn | 3.06 |
| 9 | Northrop Grumman | 77.53 Bn | 64.99 Bn | 2.35 Bn | 7.89 |
| 10 | Honeywell International | 72.26 Bn | 31.77 Bn | 2.02 Bn | 2.08 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -0.26 |
| Jun 30, 2026 | -0.67 |
| Mar 31, 2026 | -0.11 |
| Dec 31, 2025 | 10.67 |
| 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 |
API Access
Boeing EPS (Diluted) 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-diluted&ticker=BA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();