Danaher (DHR) Selling, General & Administrative (2009 - 2026)
Danaher (DHR) recorded Selling, General & Administrative of $2.07 billion in Q2 2026, down 12.2% from $2.36 billion a year earlier but up 11.4% from the prior quarter.
Danaher (DHR) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Danaher's Selling, General & Administrative came in at $7.95 billion as of Jun 26, 2026, down 4.2% year-over-year; for FY2025, it was $8.24 billion, up 6.1% from FY2024.
- Annual Selling, General & Administrative has increased for four straight years, with a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $7.76 billion in FY2024 (+5.9%), $7.33 billion in FY2023 (+2.9%), $7.12 billion in FY2022 (+4.5%) and $6.82 billion in FY2021 (-1.1%).
- Quarterly Selling, General & Administrative has ranged from $798 million in Q4 2022 to $2.36 billion in Q2 2025 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in five of the last eight quarters, with growth averaging 4.1%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 155.0% in Q4 2023, against a decline of 53.3% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.86 billion (Q1 2026), $2.03 billion (Q4 2025) and $1.99 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 1.26 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 561.20 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 475.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 2.07 Bn |
| Mar 27, 2026 | 1.86 Bn |
| Dec 31, 2025 | 2.03 Bn |
| Sep 26, 2025 | 1.99 Bn |
| Jun 27, 2025 | 2.36 Bn |
| Mar 28, 2025 | 1.86 Bn |
| Dec 31, 2024 | 2.02 Bn |
| Sep 27, 2024 | 2.06 Bn |
| Jun 28, 2024 | 1.87 Bn |
| Mar 29, 2024 | 1.81 Bn |
| Dec 31, 2023 | 2.04 Bn |
| Sep 29, 2023 | 1.73 Bn |
| Jun 30, 2023 | 1.79 Bn |
| Mar 31, 2023 | 1.77 Bn |
| Dec 31, 2022 | 798.00 Mn |
| Sep 30, 2022 | 2.15 Bn |
| Jul 1, 2022 | 2.09 Bn |
| Apr 1, 2022 | 2.09 Bn |
| Dec 31, 2021 | 913.00 Mn |
| Oct 1, 2021 | 2.06 Bn |
Danaher Selling, General & Administrative 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=selling-general-and-administrative&ticker=DHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();