Danaher (DHR) Non Operating Interest Expenses (2009 - 2026)
Danaher (DHR) reported Non Operating Interest Expenses of $107 million for Q2 2026, up 50.7% from $71 million a year earlier and up 69.8% from the prior quarter.
Danaher (DHR) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 26, 2026, Danaher's Non Operating Interest Expenses came in at $292 million, up 0.3% year-over-year; for FY2025, it was $265 million, down 4.7% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $278 million in FY2024 (-2.8%), $286 million in FY2023 (+40.2%), $204 million in FY2022 (-11.7%) and $231 million in FY2021 (-16.0%).
- The Q2 2026 figure ranks as the highest quarterly Non Operating Interest Expenses in data going back to Q1 2009.
- Year over year, Non Operating Interest Expenses gained in four of the last eight quarters, with growth averaging 2.7%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q3 2023 (growth of 66.7%); the low point was Q3 2022 (a decline of 32.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $63 million (Q1 2026), $55 million (Q4 2025) and $67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | - |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 29.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 107.00 Mn |
| Mar 27, 2026 | 63.00 Mn |
| Dec 31, 2025 | 55.00 Mn |
| Sep 26, 2025 | 67.00 Mn |
| Jun 27, 2025 | 71.00 Mn |
| Mar 28, 2025 | 72.00 Mn |
| Dec 31, 2024 | 61.00 Mn |
| Sep 27, 2024 | 87.00 Mn |
| Jun 28, 2024 | 65.00 Mn |
| Mar 29, 2024 | 65.00 Mn |
| Dec 31, 2023 | 85.00 Mn |
| Sep 29, 2023 | 70.00 Mn |
| Jun 30, 2023 | 65.00 Mn |
| Mar 31, 2023 | 66.00 Mn |
| Dec 31, 2022 | 57.00 Mn |
| Sep 30, 2022 | 42.00 Mn |
| Jul 1, 2022 | 51.00 Mn |
| Apr 1, 2022 | 54.00 Mn |
| Dec 31, 2021 | 49.00 Mn |
| Oct 1, 2021 | 62.00 Mn |
Danaher Non Operating Interest Expenses 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-operating-interest-expenses&ticker=DHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=DHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();