Becton Dickinson (BDX) Accounts Payables (2009 - 2026)
Becton Dickinson (BDX) reported Accounts Payables of $6.11 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 3.8% from $6.35 billion a year earlier but up 2.9% from the prior quarter.
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Analysis
Becton Dickinson (BDX) Accounts Payables (2009 - 2026) Analysis & Trends
Dating back to fiscal Q3 2009, Becton Dickinson's Accounts Payables record includes 67 quarters.
- Accounts Payables has a five-year compound annual growth rate of 35.1% (FY2020 to FY2025).
- By fiscal year, Accounts Payables came in at $1.9 billion in FY2024 (+15.5%), $1.64 billion in FY2023 (-3.4%), $1.7 billion in FY2022 (-2.3%) and $1.74 billion in FY2021 (+28.3%).
- Five-year quarterly Accounts Payables spans a low of $1.64 billion in fiscal Q4 2023 and a high of $6.35 billion in fiscal Q3 2025.
- Year over year, Accounts Payables has now declined in each of the last three quarters, with growth averaging 34.3% over the last eight quarters.
- The high point for year-over-year Accounts Payables in five years was fiscal Q4 2025 (growth of 222.0%); the low point was fiscal Q2 2023 (a decline of 9.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $5.93 billion (Q2 2026), $6.14 billion (Q1 2026) and $6.11 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.46 Bn | 232.49 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 177.74 Bn | 148.17 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 163.83 Bn | 147.64 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 155.72 Bn | 135.14 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 122.54 Bn | 87.80 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 118.31 Bn | 104.42 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 67.18 Bn | 61.95 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 54.66 Bn | 51.81 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 51.65 Bn | 35.65 Bn | 1.35 Bn | 210.50 Mn |
| 10 | Agilent Technologies | 49.03 Bn | 41.92 Bn | 1.04 Bn | 608.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.11 Bn |
| Mar 31, 2026 | 5.93 Bn |
| Dec 31, 2025 | 6.14 Bn |
| Sep 30, 2025 | 6.11 Bn |
| Jun 30, 2025 | 6.35 Bn |
| Mar 31, 2025 | 6.09 Bn |
| Dec 31, 2024 | 6.35 Bn |
| Sep 30, 2024 | 1.90 Bn |
| Jun 30, 2024 | 5.41 Bn |
| Mar 31, 2024 | 5.31 Bn |
| Dec 31, 2023 | 5.52 Bn |
| Sep 30, 2023 | 1.64 Bn |
| Jun 30, 2023 | 5.02 Bn |
| Mar 31, 2023 | 5.09 Bn |
| Dec 31, 2022 | 5.44 Bn |
| Sep 30, 2022 | 1.70 Bn |
| Jun 30, 2022 | 5.40 Bn |
| Mar 31, 2022 | 5.61 Bn |
| Dec 31, 2021 | 5.67 Bn |
| Sep 30, 2021 | 1.74 Bn |
API Access
Becton Dickinson Accounts Payables 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=accounts-payables&ticker=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();