Zimmer Biomet Holdings (ZBH) Other Non-Current Liabilities (2009 - 2026)
Zimmer Biomet Holdings' Other Non-Current Liabilities was $638.7 million in Q2 2026, down 27.3% from $878.8 million a year earlier but up 1.3% from the prior quarter.
Zimmer Biomet Holdings (ZBH) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Zimmer Biomet Holdings came in at $626.1 million, down 15.9% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $744.1 million in FY2024 (-19.6%), $925.8 million in FY2023 (+46.3%), $632.6 million in FY2022 (+8.5%) and $583 million in FY2021 (-11.2%).
- Quarterly Other Non-Current Liabilities has moved between $577 million (Q1 2024) and $1.21 billion (Q2 2024) over five years.
- Compared with a year earlier, Other Non-Current Liabilities has declined for five straight quarters, with an average decline of 2.7% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q2 2024 (growth of 87.8%); the worst was Q1 2026 (a decline of 30.6%).
- Per Business Quant data, ZBH's Other Non-Current Liabilities in the three quarters before Q2 2026 was $630.7 million (Q1 2026), $626.1 million (Q4 2025) and $806.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Zimmer Biomet Holdings | 16.94 Bn | 14.23 Bn | 1.54 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 638.70 Mn |
| Mar 31, 2026 | 630.70 Mn |
| Dec 31, 2025 | 626.10 Mn |
| Sep 30, 2025 | 806.40 Mn |
| Jun 30, 2025 | 878.80 Mn |
| Mar 31, 2025 | 908.90 Mn |
| Dec 31, 2024 | 744.10 Mn |
| Sep 30, 2024 | 1.03 Bn |
| Jun 30, 2024 | 1.21 Bn |
| Mar 31, 2024 | 577.00 Mn |
| Dec 31, 2023 | 925.80 Mn |
| Sep 30, 2023 | 631.90 Mn |
| Jun 30, 2023 | 642.00 Mn |
| Mar 31, 2023 | 637.40 Mn |
| Dec 31, 2022 | 632.60 Mn |
| Sep 30, 2022 | 608.70 Mn |
| Jun 30, 2022 | 591.00 Mn |
| Mar 31, 2022 | 593.10 Mn |
| Dec 31, 2021 | 583.00 Mn |
| Sep 30, 2021 | 606.70 Mn |
Zimmer Biomet Holdings Other 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=other-non-current-liabilities&ticker=ZBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=ZBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();