Becton Dickinson (BDX) Inventory (2009 - 2026)
Becton Dickinson (BDX) recorded Inventory of $3.32 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 16.0% from $3.95 billion a year earlier and down 1.2% from the prior quarter.
Becton Dickinson (BDX) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Becton Dickinson reported Inventory of $3.15 billion, down 18.1% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- Across earlier fiscal years, Inventory came in at $3.84 billion in FY2024 (+17.4%), $3.27 billion in FY2023 (+1.5%), $3.22 billion in FY2022 (+17.5%) and $2.74 billion in FY2021 (unchanged).
- Quarterly Inventory has ranged from $2.74 billion in fiscal Q4 2021 to $4.09 billion in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Inventory rose in five of the last eight quarters, with growth averaging 4.1%.
- Peak year-over-year performance for Inventory in the last five years was growth of 21.3% in fiscal Q3 2025, against a decline of 18.1% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.36 billion (Q2 2026), $4.09 billion (Q1 2026) and $3.15 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 1.12 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.32 Bn |
| Mar 31, 2026 | 3.36 Bn |
| Dec 31, 2025 | 4.09 Bn |
| Sep 30, 2025 | 3.15 Bn |
| Jun 30, 2025 | 3.95 Bn |
| Mar 31, 2025 | 3.72 Bn |
| Dec 31, 2024 | 3.86 Bn |
| Sep 30, 2024 | 3.84 Bn |
| Jun 30, 2024 | 3.26 Bn |
| Mar 31, 2024 | 3.23 Bn |
| Dec 31, 2023 | 3.30 Bn |
| Sep 30, 2023 | 3.27 Bn |
| Jun 30, 2023 | 3.59 Bn |
| Mar 31, 2023 | 3.66 Bn |
| Dec 31, 2022 | 3.60 Bn |
| Sep 30, 2022 | 3.22 Bn |
| Jun 30, 2022 | 3.16 Bn |
| Mar 31, 2022 | 3.26 Bn |
| Dec 31, 2021 | 3.04 Bn |
| Sep 30, 2021 | 2.74 Bn |
Becton Dickinson Inventory 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=inventory&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();