Danaher (DHR) Capital Expenditures (2009 - 2026)
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Analysis
Danaher (DHR) Capital Expenditures (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.10 Bn | 234.61 Bn | 5.13 Bn | 437.00 Mn |
| 2 | Abbott Laboratories | 192.28 Bn | 166.15 Bn | 7.39 Bn | 513.00 Mn |
| 3 | Danaher | 161.57 Bn | 141.22 Bn | 3.84 Bn | 255.00 Mn |
| 4 | Intuitive Surgical | 158.63 Bn | 138.92 Bn | 2.08 Bn | 113.10 Mn |
| 5 | Medtronic | 131.44 Bn | 96.69 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 125.34 Bn | 111.52 Bn | 4.25 Bn | 237.00 Mn |
| 7 | Boston Scientific | 62.82 Bn | 58.25 Bn | 3.43 Bn | 180.00 Mn |
| 8 | Edwards Lifesciences | 58.58 Bn | 41.78 Bn | 1.35 Bn | 63.60 Mn |
| 9 | Becton Dickinson | 58.39 Bn | 55.54 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Agilent Technologies | 49.24 Bn | 42.12 Bn | 1.04 Bn | 80.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 25, 2026 | 255.00 Mn |
| Jun 26, 2026 | 269.00 Mn |
| Mar 27, 2026 | 237.00 Mn |
| Dec 31, 2025 | 371.00 Mn |
| Sep 26, 2025 | 292.00 Mn |
| Jun 27, 2025 | 248.00 Mn |
| Mar 28, 2025 | 245.00 Mn |
| Dec 31, 2024 | 516.00 Mn |
| Sep 27, 2024 | 298.00 Mn |
| Jun 28, 2024 | 287.00 Mn |
| Mar 29, 2024 | 291.00 Mn |
| Dec 31, 2023 | 434.00 Mn |
| Sep 29, 2023 | 354.00 Mn |
| Jun 30, 2023 | 329.00 Mn |
| Mar 31, 2023 | 266.00 Mn |
| Dec 31, 2022 | 295.00 Mn |
| Sep 30, 2022 | 277.00 Mn |
| Jul 1, 2022 | 296.00 Mn |
| Apr 1, 2022 | 250.00 Mn |
| Dec 31, 2021 | 366.00 Mn |
API Access
Danaher Capital Expenditures 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=capital-expenditures&ticker=DHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();