Becton Dickinson (BDX) Capital Expenditures (2009 - 2026)
Becton Dickinson (BDX) recorded Capital Expenditures of $143 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 12.8% from $164 million a year earlier but up 14.4% from the prior quarter.
Becton Dickinson (BDX) Capital Expenditures (2009 - 2026) Analysis & Trends
On a TTM basis, Becton Dickinson's Capital Expenditures came in at $753 million as of Jun 30, 2026, up 10.9% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $760 million, up 4.8% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- Across earlier fiscal years, Capital Expenditures came in at $725 million in FY2024 (-17.0%), $874 million in FY2023 (-10.2%), $973 million in FY2022 (-18.5%) and $1.19 billion in FY2021 (+55.3%).
- Quarterly Capital Expenditures has ranged from $105 million in fiscal Q1 2025 to $452 million in fiscal Q4 2021 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in four of the last eight quarters, with an average decline of 0.6%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 162.8% in fiscal Q4 2021, against a decline of 44.2% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $125 million (Q2 2026), $108 million (Q1 2026) and $377 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 437.00 Mn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 513.00 Mn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 255.00 Mn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | 113.10 Mn |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 237.00 Mn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 180.00 Mn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 63.60 Mn |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Agilent Technologies | 50.79 Bn | 43.67 Bn | 1.04 Bn | 80.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 143.00 Mn |
| Mar 31, 2026 | 125.00 Mn |
| Dec 31, 2025 | 108.00 Mn |
| Sep 30, 2025 | 377.00 Mn |
| Jun 30, 2025 | 164.00 Mn |
| Mar 31, 2025 | 114.00 Mn |
| Dec 31, 2024 | 105.00 Mn |
| Sep 30, 2024 | 296.00 Mn |
| Jun 30, 2024 | 179.00 Mn |
| Mar 31, 2024 | 134.00 Mn |
| Dec 31, 2023 | 116.00 Mn |
| Sep 30, 2023 | 294.00 Mn |
| Jun 30, 2023 | 191.00 Mn |
| Mar 31, 2023 | 181.00 Mn |
| Dec 31, 2022 | 208.00 Mn |
| Sep 30, 2022 | 315.00 Mn |
| Jun 30, 2022 | 253.00 Mn |
| Mar 31, 2022 | 222.00 Mn |
| Dec 31, 2021 | 183.00 Mn |
| Sep 30, 2021 | 452.00 Mn |
Becton Dickinson Capital Expenditures 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=capital-expenditures&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();