Becton Dickinson (BDX) Total Liabilities (2009 - 2026)
Becton Dickinson (BDX) posted Total Liabilities of $26.32 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 10.6% from $29.43 billion a year earlier and down 1.4% from the prior quarter.
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Analysis
Becton Dickinson (BDX) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Becton Dickinson's Total Liabilities came in at $29.94 billion, down 4.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- In prior fiscal years, Becton Dickinson's Total Liabilities was $31.4 billion in FY2024 (+16.4%), $26.98 billion in FY2023 (-2.4%), $27.65 billion in FY2022 (-8.4%) and $30.19 billion in FY2021 (-0.2%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Total Liabilities since fiscal Q4 2017.
- On a year-over-year basis, Total Liabilities increased in four of the last eight quarters, with growth averaging 0.5%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q4 2024, with growth of 16.4%; the weakest was fiscal Q3 2026, with a decline of 10.6%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $26.7 billion (Q2 2026), $29.56 billion (Q1 2026) and $29.94 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Agilent Technologies | 49.34 Bn | 42.23 Bn | 1.04 Bn | 6.60 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.32 Bn |
| Mar 31, 2026 | 26.70 Bn |
| Dec 31, 2025 | 29.56 Bn |
| Sep 30, 2025 | 29.94 Bn |
| Jun 30, 2025 | 29.43 Bn |
| Mar 31, 2025 | 29.23 Bn |
| Dec 31, 2024 | 29.46 Bn |
| Sep 30, 2024 | 31.40 Bn |
| Jun 30, 2024 | 29.71 Bn |
| Mar 31, 2024 | 28.51 Bn |
| Dec 31, 2023 | 26.94 Bn |
| Sep 30, 2023 | 26.98 Bn |
| Jun 30, 2023 | 27.08 Bn |
| Mar 31, 2023 | 28.71 Bn |
| Dec 31, 2022 | 27.66 Bn |
| Sep 30, 2022 | 27.65 Bn |
| Jun 30, 2022 | 27.71 Bn |
| Mar 31, 2022 | 30.26 Bn |
| Dec 31, 2021 | 29.20 Bn |
| Sep 30, 2021 | 30.19 Bn |
API Access
Becton Dickinson Total Liabilities 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=total-liabilities&ticker=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();