Becton Dickinson (BDX) Long-Term Debt Repayments (2009 - 2026)
Becton Dickinson's Long-Term Debt Repayments came in at $2 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 500.6% from $333 million a year earlier and unchanged from the prior quarter.
Becton Dickinson (BDX) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Becton Dickinson reported Long-Term Debt Repayments of $4.58 billion, up 279.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $1.79 billion, up 56.7% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -17.4% (FY2020 to FY2025).
- Going back by fiscal year, Long-Term Debt Repayments was $1.14 billion in FY2024 (-47.0%), $2.16 billion in FY2023 (+167.7%), $805 million in FY2022 (-84.3%) and $5.11 billion in FY2021 (+9.6%).
- The five-year range for quarterly Long-Term Debt Repayments is $1 million (fiscal Q2 2023) to $3.11 billion (fiscal Q4 2021).
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in fiscal Q3 2026 (growth of 500.6%), and the weakest in fiscal Q2 2022 (a decline of 99.9%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 2.00 Bn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 1.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.00 Bn |
| Mar 31, 2026 | 2.00 Bn |
| Sep 30, 2025 | 581.00 Mn |
| Jun 30, 2025 | 333.00 Mn |
| Dec 31, 2024 | 875.00 Mn |
| Jun 30, 2024 | 1.14 Bn |
| Sep 30, 2023 | 439.00 Mn |
| Jun 30, 2023 | 1.19 Bn |
| Mar 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | 528.00 Mn |
| Sep 30, 2022 | 500.00 Mn |
| Jun 30, 2022 | 303.00 Mn |
| Mar 31, 2022 | 2.00 Mn |
| Sep 30, 2021 | 3.11 Bn |
| Jun 30, 2021 | 1.00 Mn |
| Mar 31, 2021 | 1.73 Bn |
| Dec 31, 2020 | 267.00 Mn |
| Sep 30, 2020 | 953.00 Mn |
| Jun 30, 2020 | 3.41 Bn |
| Mar 31, 2020 | 2.00 Mn |
Becton Dickinson Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();