Becton Dickinson (BDX) Total Non-Current Liabilities (2009 - 2026)
Becton Dickinson (BDX) reported Total Non-Current Liabilities of $23.92 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 10.1% from $26.6 billion a year earlier and down 1.3% from the prior quarter.
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Analysis
Becton Dickinson (BDX) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Becton Dickinson posted Total Non-Current Liabilities of $27.3 billion, down 1.9% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- By fiscal year, Total Non-Current Liabilities came in at $27.84 billion in FY2024 (+24.3%), $22.4 billion in FY2023 (-0.9%), $22.6 billion in FY2022 (-9.5%) and $24.98 billion in FY2021 (+2.0%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since fiscal Q1 2024.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 4.4%.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q4 2024 (growth of 24.3%); the low point was fiscal Q3 2026 (a decline of 10.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $24.24 billion (Q2 2026), $26.74 billion (Q1 2026) and $27.3 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 6.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.92 Bn |
| Mar 31, 2026 | 24.24 Bn |
| Dec 31, 2025 | 26.74 Bn |
| Sep 30, 2025 | 27.30 Bn |
| Jun 30, 2025 | 26.60 Bn |
| Mar 31, 2025 | 26.23 Bn |
| Dec 31, 2024 | 26.04 Bn |
| Sep 30, 2024 | 27.84 Bn |
| Jun 30, 2024 | 25.64 Bn |
| Mar 31, 2024 | 24.21 Bn |
| Dec 31, 2023 | 22.53 Bn |
| Sep 30, 2023 | 22.40 Bn |
| Jun 30, 2023 | 22.71 Bn |
| Mar 31, 2023 | 24.23 Bn |
| Dec 31, 2022 | 22.80 Bn |
| Sep 30, 2022 | 22.60 Bn |
| Jun 30, 2022 | 22.77 Bn |
| Mar 31, 2022 | 25.29 Bn |
| Dec 31, 2021 | 24.17 Bn |
| Sep 30, 2021 | 24.98 Bn |
API Access
Becton Dickinson Total Non-Current 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-non-current-liabilities&ticker=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();