Boeing (BA) EPS (Diluted) (2009 - 2026)
Boeing (BA) reported EPS (Diluted) of -$0.67 for Q2 2026, compared with -$0.92 a year earlier.
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Analysis
Boeing (BA) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Boeing's EPS (Diluted) came in at $2.64; 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 Q2 2026 came in at -$0.11 (Q1 2026), $10.67 (Q4 2025) and -$7.14 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 2.26 |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 1.57 |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | -0.67 |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 7.94 |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 1.33 |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 4.24 |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 3.33 |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 7.68 |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 17.83 |
| 10 | TransDigm | 60.79 Bn | 48.88 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 | 10.67 |
| 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 |
| Sep 30, 2021 | -0.19 |
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();