Zimmer Biomet Holdings (ZBH) Total Non-Current Liabilities (2009 - 2026)
Zimmer Biomet Holdings (ZBH) reported Total Non-Current Liabilities of $9.53 billion for Q2 2026, up 0.8% from $9.45 billion a year earlier and up 1.2% from the prior quarter.
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Analysis
Zimmer Biomet Holdings (ZBH) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Zimmer Biomet Holdings posted Total Non-Current Liabilities of $9.76 billion, up 19.8% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $8.15 billion in FY2024 (+0.8%), $8.08 billion in FY2023 (-3.8%), $8.41 billion in FY2022 (-17.6%) and $10.21 billion in FY2021 (-11.7%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $7.57 billion in Q2 2024 and a high of $10.69 billion in Q3 2021.
- Year over year, Total Non-Current Liabilities has now increased in each of the last eight quarters, with growth averaging 10.2% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2025 (growth of 24.9%); the low point was Q2 2022 (a decline of 20.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9.41 billion (Q1 2026), $9.76 billion (Q4 2025) and $9.92 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Zimmer Biomet Holdings | 16.94 Bn | 14.23 Bn | 1.54 Bn | 9.53 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.53 Bn |
| Mar 31, 2026 | 9.41 Bn |
| Dec 31, 2025 | 9.76 Bn |
| Sep 30, 2025 | 9.92 Bn |
| Jun 30, 2025 | 9.45 Bn |
| Mar 31, 2025 | 8.87 Bn |
| Dec 31, 2024 | 8.15 Bn |
| Sep 30, 2024 | 8.31 Bn |
| Jun 30, 2024 | 7.57 Bn |
| Mar 31, 2024 | 8.27 Bn |
| Dec 31, 2023 | 8.08 Bn |
| Sep 30, 2023 | 8.07 Bn |
| Jun 30, 2023 | 8.27 Bn |
| Mar 31, 2023 | 8.45 Bn |
| Dec 31, 2022 | 8.41 Bn |
| Sep 30, 2022 | 8.47 Bn |
| Jun 30, 2022 | 8.74 Bn |
| Mar 31, 2022 | 9.00 Bn |
| Dec 31, 2021 | 10.21 Bn |
| Sep 30, 2021 | 10.69 Bn |
API Access
Zimmer Biomet Holdings 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=ZBH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ZBH", "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=ZBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();