Becton Dickinson (BDX) Return on Capital Employed [ROCE] (2009 - 2026)
Becton Dickinson's Return on Capital Employed [ROCE] was 6.00% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.28 percentage points from 4.72% a year earlier and up 0.23 percentage points from the prior quarter.
Becton Dickinson (BDX) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Return on Capital Employed [ROCE] at Becton Dickinson came in at 5.37%, up 0.17 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +3.44 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Capital Employed [ROCE] was 5.20% in FY2024 (+0.63 pp), 4.57% in FY2023 (-0.44 pp), 5.01% in FY2022 (+0.25 pp) and 4.76% in FY2021 (+2.82 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between 4.26% (fiscal Q1 2022) and 6.15% (fiscal Q1 2026) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for five straight quarters, with an average year-over-year change of +0.74 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q4 2021 (a gain of 3.47 percentage points); the worst was fiscal Q4 2023 (a drop of 0.48 percentage points).
- Per Business Quant data, BDX's Return on Capital Employed [ROCE] in the three fiscal quarters before Q3 2026 was 5.77% (Q2 2026), 6.15% (Q1 2026) and 5.87% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 6.00% |
| 10 | Agilent Technologies | 46.99 Bn | 39.88 Bn | 1.04 Bn | 14.60% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.00% |
| Mar 31, 2026 | 5.77% |
| Dec 31, 2025 | 6.15% |
| Sep 30, 2025 | 5.87% |
| Jun 30, 2025 | 4.72% |
| Mar 31, 2025 | 4.39% |
| Dec 31, 2024 | 4.99% |
| Sep 30, 2024 | 5.05% |
| Jun 30, 2024 | 4.40% |
| Mar 31, 2024 | 4.51% |
| Dec 31, 2023 | 4.37% |
| Sep 30, 2023 | 4.56% |
| Jun 30, 2023 | 4.81% |
| Mar 31, 2023 | 4.82% |
| Dec 31, 2022 | 4.79% |
| Sep 30, 2022 | 5.04% |
| Jun 30, 2022 | 4.63% |
| Mar 31, 2022 | 4.49% |
| Dec 31, 2021 | 4.26% |
| Sep 30, 2021 | 5.37% |
Becton Dickinson Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();