Becton Dickinson (BDX) Non-Current Debt (2009 - 2026)
Becton Dickinson (BDX) posted Non-Current Debt of -$180 million for fiscal Q3 2018 (quarter ended Jun 30, 2018), compared with $100 million a year earlier.
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Analysis
Becton Dickinson (BDX) Non-Current Debt (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 13.51 Bn |
| 10 | Agilent Technologies | 49.34 Bn | 42.23 Bn | 1.04 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.51 Bn |
| Mar 31, 2026 | 14.71 Bn |
| Dec 31, 2025 | 16.92 Bn |
| Sep 30, 2025 | 17.62 Bn |
| Jun 30, 2025 | 17.53 Bn |
| Mar 31, 2025 | 17.67 Bn |
| Dec 31, 2024 | 17.44 Bn |
| Sep 30, 2024 | 17.94 Bn |
| Jun 30, 2024 | 18.13 Bn |
| Mar 31, 2024 | 16.00 Bn |
| Dec 31, 2023 | 14.09 Bn |
| Sep 30, 2023 | 14.74 Bn |
| Jun 30, 2023 | 14.93 Bn |
| Mar 31, 2023 | 16.01 Bn |
| Dec 31, 2022 | 14.27 Bn |
| Sep 30, 2022 | 13.89 Bn |
| Jun 30, 2022 | 14.68 Bn |
| Mar 31, 2022 | 17.58 Bn |
| Dec 31, 2021 | 16.36 Bn |
| Sep 30, 2021 | 17.11 Bn |
API Access
Becton Dickinson Non-Current Debt 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=non-current-debt&ticker=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();