Danaher (DHR) Operating Expenses (2009 - 2026)
Danaher (DHR) posted Operating Expenses of $2.48 billion for Q2 2026, down 10.1% from $2.76 billion a year earlier but up 10.5% from the prior quarter.
Danaher (DHR) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 26, 2026, Operating Expenses at Danaher was $9.56 billion, down 3.5% year-over-year; for FY2025, it came in at $9.83 billion, up 5.2% from FY2024.
- Annual Operating Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In prior years, Danaher's Operating Expenses was $9.34 billion in FY2024 (+5.8%), $8.83 billion in FY2023 (+2.1%), $8.65 billion in FY2022 (+4.1%) and $8.32 billion in FY2021 (+0.9%).
- Quarterly Operating Expenses has run from a low of $1.03 billion in Q4 2022 to a high of $2.76 billion in Q2 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 3.8%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 136.2%; the weakest was Q4 2021, with a decline of 50.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $2.25 billion (Q1 2026), $2.46 billion (Q4 2025) and $2.37 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 1.43 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 2.48 Bn |
| Mar 27, 2026 | 2.25 Bn |
| Dec 31, 2025 | 2.46 Bn |
| Sep 26, 2025 | 2.37 Bn |
| Jun 27, 2025 | 2.76 Bn |
| Mar 28, 2025 | 2.24 Bn |
| Dec 31, 2024 | 2.47 Bn |
| Sep 27, 2024 | 2.44 Bn |
| Jun 28, 2024 | 2.26 Bn |
| Mar 29, 2024 | 2.18 Bn |
| Dec 31, 2023 | 2.44 Bn |
| Sep 29, 2023 | 2.09 Bn |
| Jun 30, 2023 | 2.16 Bn |
| Mar 31, 2023 | 2.15 Bn |
| Dec 31, 2022 | 1.03 Bn |
| Sep 30, 2022 | 2.57 Bn |
| Jul 1, 2022 | 2.52 Bn |
| Apr 1, 2022 | 2.53 Bn |
| Dec 31, 2021 | 1.16 Bn |
| Oct 1, 2021 | 2.50 Bn |
Danaher Operating 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=operating-expenses&ticker=DHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=DHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();