Danaher (DHR) Accumulated Expenses (2009 - 2026)
Danaher (DHR) posted Accumulated Expenses of $4.87 billion for Q2 2026, up 6.7% from $4.57 billion a year earlier and up 2.6% from the prior quarter.
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Analysis
Danaher (DHR) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Danaher's Accumulated Expenses came in at $4.96 billion, up 9.3% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In prior years, Danaher's Accumulated Expenses was $4.54 billion in FY2024 (-5.7%), $4.81 billion in FY2023 (unchanged), $4.82 billion in FY2022 (-13.4%) and $5.56 billion in FY2021 (+4.1%).
- Quarterly Accumulated Expenses has run from a low of $4.35 billion in Q1 2024 to a high of $5.56 billion in Q4 2021 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last six quarters, with growth averaging 2.2% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2021, with growth of 17.9%; the weakest was Q1 2024, with a decline of 14.3%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $4.75 billion (Q1 2026), $4.96 billion (Q4 2025) and $4.6 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 4.87 Bn |
| Mar 27, 2026 | 4.75 Bn |
| Dec 31, 2025 | 4.96 Bn |
| Sep 26, 2025 | 4.60 Bn |
| Jun 27, 2025 | 4.57 Bn |
| Mar 28, 2025 | 4.42 Bn |
| Dec 31, 2024 | 4.54 Bn |
| Sep 27, 2024 | 4.54 Bn |
| Jun 28, 2024 | 4.36 Bn |
| Mar 29, 2024 | 4.35 Bn |
| Dec 31, 2023 | 4.81 Bn |
| Sep 29, 2023 | 4.93 Bn |
| Jun 30, 2023 | 4.86 Bn |
| Mar 31, 2023 | 5.08 Bn |
| Dec 31, 2022 | 4.82 Bn |
| Sep 30, 2022 | 5.11 Bn |
| Jul 1, 2022 | 5.13 Bn |
| Apr 1, 2022 | 5.18 Bn |
| Dec 31, 2021 | 5.56 Bn |
| Oct 1, 2021 | 5.12 Bn |
API Access
Danaher Accumulated 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=accumulated-expenses&ticker=DHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();