Danaher (DHR) Asset Writedowns and Impairment (2023 - 2025)
Danaher (DHR) posted Asset Writedowns and Impairment of $14 million for Q4 2025, down 67.4% from $43 million a year earlier and down 86.1% from the prior quarter.
Powered by 
Analysis
Danaher (DHR) Asset Writedowns and Impairment (2023 - 2025) Analysis & Trends
For FY2025, Danaher's Asset Writedowns and Impairment came in at $562 million, up 112.1% from FY2024.
- In prior years, Danaher's Asset Writedowns and Impairment was $265 million in FY2024 (+244.2%) and $77 million in FY2023.
- According to Business Quant data, Asset Writedowns and Impairment for the three prior quarters was $101 million (Q3 2025), $432 million (Q2 2025) and $15 million (Q1 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 |
|---|---|
| Dec 31, 2025 | 14.00 Mn |
| Sep 26, 2025 | 101.00 Mn |
| Jun 27, 2025 | 432.00 Mn |
| Mar 28, 2025 | 15.00 Mn |
| Dec 31, 2024 | 43.00 Mn |
| Sep 27, 2024 | 222.00 Mn |
| Dec 31, 2023 | 35.00 Mn |
API Access
Danaher Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=DHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=DHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();