Danaher (DHR) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
Danaher (DHR) posted Non-Current Debt of -$1,000 for Q4 2011.
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Analysis
Danaher (DHR) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
For FY2011, Danaher's Non-Current Debt came in at $1.79 billion.
- In prior years, Danaher's Non-Current Debt was $744.62 million in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.21 Bn | 258.21 Bn | - | - |
| 2 | Abbott Laboratories | 184.72 Bn | 184.72 Bn | - | - |
| 3 | Danaher | 163.63 Bn | 147.44 Bn | 3.61 Bn | 6.56 Bn |
| 4 | Intuitive Surgical | 150.86 Bn | 131.14 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.68 Bn | 88.93 Bn | 6.34 Bn | - |
| 6 | Stryker | 111.91 Bn | 111.91 Bn | - | - |
| 7 | Boston Scientific | 61.64 Bn | 61.64 Bn | 3.43 Bn | - |
| 8 | Becton Dickinson | 54.28 Bn | 51.43 Bn | 2.32 Bn | -2.00 Bn |
| 9 | Edwards Lifesciences | 53.21 Bn | 37.22 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 49.54 Bn | 42.43 Bn | 1.04 Bn | 601.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 6.56 Bn |
| Mar 27, 2026 | -1.43 Bn |
| Dec 31, 2025 | 1.55 Bn |
| Sep 26, 2025 | -500.00 Mn |
| Mar 28, 2025 | 4.00 Mn |
| Dec 31, 2024 | -700.00 Mn |
| Dec 31, 2023 | -3.23 Bn |
| Dec 31, 2022 | -700.00 Mn |
| Jul 1, 2022 | -265.00 Mn |
| Dec 31, 2021 | 77.00 Mn |
| Apr 2, 2021 | -279.00 Mn |
| Dec 31, 2020 | 46.00 Mn |
| Oct 2, 2020 | -1.25 Bn |
| Jul 3, 2020 | -431.00 Mn |
| Apr 3, 2020 | 4.37 Bn |
| Dec 31, 2019 | 3.09 Bn |
| Sep 27, 2019 | 7.46 Bn |
| Dec 31, 2018 | -4.10 Mn |
| Sep 28, 2018 | -500.00 Mn |
| Dec 31, 2017 | -7.90 Mn |
API Access
Danaher Net Long-Term Debt Issued (Repaid) 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=DHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "DHR", "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=DHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();