Becton Dickinson (BDX) EPS (Diluted) (2009 - 2026)
Becton Dickinson's EPS (Diluted) was $1.37 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 31.4% from $2.00 a year earlier.
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Analysis
Becton Dickinson (BDX) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Becton Dickinson's EPS (Diluted) was $3.42 through Jun 30, 2026, down 38.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $5.82, down 0.7% from FY2024.
- EPS (Diluted) shows a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- In earlier fiscal years, EPS (Diluted) was $5.86 in FY2024 (+18.7%), $4.94 in FY2023 (-16.0%), $5.88 in FY2022 (-14.2%) and $6.85 in FY2021 (+152.4%).
- Quarterly EPS (Diluted) has moved between -$1.11 (fiscal Q2 2026) and $2.28 (fiscal Q1 2022) over five years.
- Compared with a year earlier, EPS (Diluted) was higher in five of the last seven quarters, with growth averaging 39.0%.
- The best year-over-year quarter for EPS (Diluted) over five years was fiscal Q4 2024 (growth of 267.0%); the worst was fiscal Q4 2023 (a decline of 59.4%).
- Per Business Quant data, BDX's EPS (Diluted) in the three fiscal quarters before Q3 2026 was -$1.11 (Q2 2026), $1.34 (Q1 2026) and $1.71 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.29 |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 1.14 |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 3.31 |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 0.61 |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 0.42 |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 1.37 |
| 10 | Agilent Technologies | 49.34 Bn | 42.23 Bn | 1.04 Bn | 1.28 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.37 |
| Mar 31, 2026 | -1.11 |
| Dec 31, 2025 | 1.34 |
| Sep 30, 2025 | 1.71 |
| Jun 30, 2025 | 2.00 |
| Mar 31, 2025 | 1.07 |
| Dec 31, 2024 | 1.04 |
| Sep 30, 2024 | 1.37 |
| Jun 30, 2024 | 1.68 |
| Mar 31, 2024 | 1.85 |
| Dec 31, 2023 | 0.96 |
| Sep 30, 2023 | 0.37 |
| Jun 30, 2023 | 1.36 |
| Mar 31, 2023 | 1.53 |
| Dec 31, 2022 | 1.70 |
| Sep 30, 2022 | 0.92 |
| Jun 30, 2022 | 1.18 |
| Mar 31, 2022 | 1.50 |
| Dec 31, 2021 | 2.28 |
| Sep 30, 2021 | 0.83 |
API Access
Becton Dickinson 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=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "BDX", "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=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();