Danaher (DHR) Total Liabilities (2009 - 2026)
Danaher's Total Liabilities was $39.78 billion in Q2 2026, up 35.9% from $29.28 billion a year earlier and up 30.0% from the prior quarter.
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Analysis
Danaher (DHR) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Danaher came in at $30.92 billion, up 10.5% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $27.99 billion in FY2024 (-9.7%), $31 billion in FY2023 (-9.5%), $34.26 billion in FY2022 (-9.9%) and $38.01 billion in FY2021 (+4.5%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q2 2009.
- Compared with a year earlier, Total Liabilities has increased for three straight quarters, with growth averaging 2.8% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2026 (growth of 35.9%); the worst was Q3 2024 (a decline of 17.0%).
- Per Business Quant data, DHR's Total Liabilities in the three quarters before Q2 2026 was $30.59 billion (Q1 2026), $30.92 billion (Q4 2025) and $28.82 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 6.60 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 39.78 Bn |
| Mar 27, 2026 | 30.59 Bn |
| Dec 31, 2025 | 30.92 Bn |
| Sep 26, 2025 | 28.82 Bn |
| Jun 27, 2025 | 29.28 Bn |
| Mar 28, 2025 | 28.26 Bn |
| Dec 31, 2024 | 27.99 Bn |
| Sep 27, 2024 | 29.31 Bn |
| Jun 28, 2024 | 28.65 Bn |
| Mar 29, 2024 | 29.96 Bn |
| Dec 31, 2023 | 31.00 Bn |
| Sep 29, 2023 | 35.32 Bn |
| Jun 30, 2023 | 33.18 Bn |
| Mar 31, 2023 | 33.55 Bn |
| Dec 31, 2022 | 34.26 Bn |
| Sep 30, 2022 | 34.04 Bn |
| Jul 1, 2022 | 35.21 Bn |
| Apr 1, 2022 | 37.03 Bn |
| Dec 31, 2021 | 38.01 Bn |
| Oct 1, 2021 | 39.04 Bn |
API Access
Danaher Total Liabilities 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=total-liabilities&ticker=DHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();