Danaher (DHR) Long-Term Debt Issuances (2009 - 2026)
Danaher's Long-Term Debt Issuances came in at $6.56 billion for Q2 2026.
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Analysis
Danaher (DHR) Long-Term Debt Issuances (2009 - 2026) Analysis & Trends
For FY2025, Danaher's Long-Term Debt Issuances was $1.56 billion.
- Long-Term Debt Issuances carries a five-year compound annual growth rate of -29.1% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Issuances was $984 million in FY2021 (-88.7%).
- The Q2 2026 figure represents the highest quarterly Long-Term Debt Issuances since Q3 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 2.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | - |
| 10 | Agilent Technologies | 50.15 Bn | 43.04 Bn | 1.04 Bn | 600.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 6.56 Bn |
| Dec 31, 2025 | 1.55 Bn |
| Mar 28, 2025 | 4.00 Mn |
| Dec 31, 2023 | -2.61 Bn |
| Dec 31, 2021 | 984.00 Mn |
| Dec 31, 2020 | 979.00 Mn |
| Jul 3, 2020 | 3.32 Bn |
| Apr 3, 2020 | 4.37 Bn |
| Dec 31, 2019 | 3.98 Bn |
| Sep 27, 2019 | 8.14 Bn |
| Dec 31, 2017 | 98.10 Mn |
| Jun 30, 2017 | 1.68 Bn |
| Jul 1, 2016 | 2.98 Bn |
| Apr 1, 2016 | 262.30 Mn |
| Dec 31, 2015 | 732.50 Mn |
| Oct 2, 2015 | 4.95 Bn |
| Dec 31, 2011 | 36,000.00 |
| Apr 3, 2009 | 744.62 Mn |
API Access
Danaher Long-Term Debt Issuances 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-issuances&ticker=DHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=DHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();