Danaher (DHR) Total Non-Current Liabilities (2009 - 2026)
Danaher (DHR) recorded Total Non-Current Liabilities of $33.25 billion in Q2 2026, up 40.6% from $23.65 billion a year earlier and up 32.9% from the prior quarter.
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Analysis
Danaher (DHR) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Danaher reported Total Non-Current Liabilities of $25.22 billion, up 13.1% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $22.3 billion in FY2024 (-10.7%), $24.98 billion in FY2023 (-10.0%), $27.76 billion in FY2022 (-8.4%) and $30.31 billion in FY2021 (+6.0%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 3.7% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 40.6% in Q2 2026, against a decline of 18.1% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $25.02 billion (Q1 2026), $25.22 billion (Q4 2025) and $23.16 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | - |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | - |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 2.57 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 6.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 33.25 Bn |
| Mar 27, 2026 | 25.02 Bn |
| Dec 31, 2025 | 25.22 Bn |
| Sep 26, 2025 | 23.16 Bn |
| Jun 27, 2025 | 23.65 Bn |
| Mar 28, 2025 | 22.62 Bn |
| Dec 31, 2024 | 22.30 Bn |
| Sep 27, 2024 | 23.66 Bn |
| Jun 28, 2024 | 23.01 Bn |
| Mar 29, 2024 | 24.20 Bn |
| Dec 31, 2023 | 24.98 Bn |
| Sep 29, 2023 | 28.88 Bn |
| Jun 30, 2023 | 26.69 Bn |
| Mar 31, 2023 | 26.99 Bn |
| Dec 31, 2022 | 27.76 Bn |
| Sep 30, 2022 | 26.54 Bn |
| Jul 1, 2022 | 27.61 Bn |
| Apr 1, 2022 | 29.32 Bn |
| Dec 31, 2021 | 30.31 Bn |
| Oct 1, 2021 | 30.85 Bn |
API Access
Danaher Total Non-Current 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-non-current-liabilities&ticker=DHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=DHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();