Becton Dickinson (BDX) EPS (Basic) (2009 - 2026)
Becton Dickinson (BDX) recorded EPS (Basic) of $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 (Basic) (2009 - 2026) Analysis & Trends
On a TTM basis, Becton Dickinson's EPS (Basic) came in at $3.42 as of Jun 30, 2026, down 38.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $5.83, down 0.9% from FY2024.
- Annual EPS (Basic) has a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- Across earlier fiscal years, EPS (Basic) came in at $5.88 in FY2024 (+18.3%), $4.97 in FY2023 (-16.1%), $5.93 in FY2022 (-14.4%) and $6.92 in FY2021 (+151.7%).
- Quarterly EPS (Basic) has ranged from -$1.11 in fiscal Q2 2026 to $2.30 in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, EPS (Basic) rose in five of the last seven quarters, with growth averaging 38.7%.
- Peak year-over-year performance for EPS (Basic) in the last five years was growth of 265.9% in fiscal Q4 2024, against a decline of 59.4% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$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 (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.31 |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.15 |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.33 |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 0.62 |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 0.42 |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.37 |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 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 | 1.05 |
| Sep 30, 2024 | 1.38 |
| Jun 30, 2024 | 1.68 |
| Mar 31, 2024 | 1.85 |
| Dec 31, 2023 | 0.97 |
| Sep 30, 2023 | 0.38 |
| Jun 30, 2023 | 1.37 |
| Mar 31, 2023 | 1.54 |
| Dec 31, 2022 | 1.71 |
| Sep 30, 2022 | 0.93 |
| Jun 30, 2022 | 1.18 |
| Mar 31, 2022 | 1.51 |
| Dec 31, 2021 | 2.30 |
| Sep 30, 2021 | 0.84 |
API Access
Becton Dickinson 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=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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-basic&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();