Becton Dickinson (BDX) Cash from Operations (2009 - 2026)
Becton Dickinson (BDX) recorded Cash from Operations of $776 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 28.7% from $1.09 billion a year earlier but up 15.6% from the prior quarter.
Becton Dickinson (BDX) Cash from Operations (2009 - 2026) Analysis & Trends
On a TTM basis, Becton Dickinson's Cash from Operations came in at $3.96 billion as of Jun 30, 2026, up 43.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $3.43 billion, down 10.8% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Across earlier fiscal years, Cash from Operations came in at $3.84 billion in FY2024 (+28.6%), $2.99 billion in FY2023 (+21.0%), $2.47 billion in FY2022 (-40.1%) and $4.13 billion in FY2021 (+40.5%).
- Quarterly Cash from Operations has ranged from -$204 million in fiscal Q2 2025 to $1.85 billion in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Cash from Operations rose in 1 of the last six quarters, with an average decline of 3.8%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 177.8% in fiscal Q2 2024, against a decline of 75.6% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $671 million (Q2 2026), $657 million (Q1 2026) and $1.85 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.13 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.49 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.53 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.06 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.79 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.26 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 651.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 776.00 Mn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 519.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 776.00 Mn |
| Mar 31, 2026 | 671.00 Mn |
| Dec 31, 2025 | 657.00 Mn |
| Sep 30, 2025 | 1.85 Bn |
| Jun 30, 2025 | 1.09 Bn |
| Mar 31, 2025 | -204.00 Mn |
| Dec 31, 2024 | 693.00 Mn |
| Sep 30, 2024 | 1.18 Bn |
| Jun 30, 2024 | 1.30 Bn |
| Mar 31, 2024 | 514.00 Mn |
| Dec 31, 2023 | 855.00 Mn |
| Sep 30, 2023 | 1.33 Bn |
| Jun 30, 2023 | 1.08 Bn |
| Mar 31, 2023 | 185.00 Mn |
| Dec 31, 2022 | 399.00 Mn |
| Sep 30, 2022 | 973.00 Mn |
| Jun 30, 2022 | 678.00 Mn |
| Mar 31, 2022 | 290.00 Mn |
| Dec 31, 2021 | 530.00 Mn |
| Sep 30, 2021 | 841.00 Mn |
Becton Dickinson Cash from Operations 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=cash-from-operations&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();