Danaher (DHR) Cost of Revenue (2009 - 2026)
Danaher's Cost of Revenue came in at $2.65 billion for Q2 2026, up 10.0% from $2.41 billion a year earlier and up 12.5% from the prior quarter.
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Analysis
Danaher (DHR) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, Danaher reported Cost of Revenue of $10.42 billion, up 7.5% year-over-year; for FY2025, it was $10.05 billion, up 3.9% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $9.67 billion in FY2024 (-1.9%), $9.86 billion in FY2023 (-5.7%), $10.46 billion in FY2022 (+9.3%) and $9.56 billion in FY2021 (-2.5%).
- The five-year range for quarterly Cost of Revenue is $1.27 billion (Q4 2021) to $3.08 billion (Q3 2022).
- Year-over-year, Cost of Revenue has increased for five consecutive quarters, with growth averaging 4.2% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q4 2023 (growth of 92.7%), and the weakest in Q4 2021 (a decline of 54.8%).
- Business Quant data shows DHR's Cost of Revenue at $2.36 billion (Q1 2026), $2.87 billion (Q4 2025) and $2.53 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 2.67 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 392.40 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 836.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 2.65 Bn |
| Mar 27, 2026 | 2.36 Bn |
| Dec 31, 2025 | 2.87 Bn |
| Sep 26, 2025 | 2.53 Bn |
| Jun 27, 2025 | 2.41 Bn |
| Mar 28, 2025 | 2.23 Bn |
| Dec 31, 2024 | 2.65 Bn |
| Sep 27, 2024 | 2.40 Bn |
| Jun 28, 2024 | 2.32 Bn |
| Mar 29, 2024 | 2.31 Bn |
| Dec 31, 2023 | 2.63 Bn |
| Sep 29, 2023 | 2.35 Bn |
| Jun 30, 2023 | 2.59 Bn |
| Mar 31, 2023 | 2.29 Bn |
| Dec 31, 2022 | 1.36 Bn |
| Sep 30, 2022 | 3.08 Bn |
| Jul 1, 2022 | 3.03 Bn |
| Apr 1, 2022 | 2.98 Bn |
| Dec 31, 2021 | 1.27 Bn |
| Oct 1, 2021 | 2.87 Bn |
API Access
Danaher Cost of Revenue 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=cost-of-revenue&ticker=DHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();