Danaher (DHR) EBITDA (2009 - 2026)
Danaher (DHR) recorded EBITDA of $1.79 billion in Q2 2026, up 30.3% from $1.37 billion a year earlier but down 9.4% from the prior quarter.
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Analysis
Danaher (DHR) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Danaher's EBITDA came in at $7.66 billion as of Jun 26, 2026, up 12.6% year-over-year; for FY2025, it came in at $7.14 billion, down 1.0% from FY2024.
- Annual EBITDA has declined for three straight years, though with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $7.22 billion in FY2024 (-2.2%), $7.38 billion in FY2023 (-23.7%), $9.67 billion in FY2022 (+14.6%) and $8.44 billion in FY2021 (+40.5%).
- Quarterly EBITDA has ranged from $1.37 billion in Q2 2025 to $2.5 billion in Q1 2022 over the past five years.
- On a year-over-year basis, EBITDA has increased for four consecutive quarters, with growth averaging 3.6% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 59.8% in Q4 2022, against a decline of 30.3% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.97 billion (Q1 2026), $2.13 billion (Q4 2025) and $1.78 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 510.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 1.79 Bn |
| Mar 27, 2026 | 1.97 Bn |
| Dec 31, 2025 | 2.13 Bn |
| Sep 26, 2025 | 1.78 Bn |
| Jun 27, 2025 | 1.37 Bn |
| Mar 28, 2025 | 1.87 Bn |
| Dec 31, 2024 | 2.02 Bn |
| Sep 27, 2024 | 1.55 Bn |
| Jun 28, 2024 | 1.75 Bn |
| Mar 29, 2024 | 1.90 Bn |
| Dec 31, 2023 | 1.90 Bn |
| Sep 29, 2023 | 1.72 Bn |
| Jun 30, 2023 | 1.70 Bn |
| Mar 31, 2023 | 2.05 Bn |
| Dec 31, 2022 | 2.47 Bn |
| Sep 30, 2022 | 2.26 Bn |
| Jul 1, 2022 | 2.44 Bn |
| Apr 1, 2022 | 2.50 Bn |
| Dec 31, 2021 | 1.55 Bn |
| Oct 1, 2021 | 1.86 Bn |
API Access
Danaher EBITDA 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=ebitda&ticker=DHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();