Zimmer Biomet Holdings (ZBH) Non-Current Assets (2009 - 2026)
Zimmer Biomet Holdings' Non-Current Assets was $17.7 billion in Q2 2026, down 0.6% from $17.81 billion a year earlier and down 0.3% from the prior quarter.
Zimmer Biomet Holdings (ZBH) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Zimmer Biomet Holdings came in at $17.97 billion, up 7.7% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $16.69 billion in FY2024 (-1.1%), $16.89 billion in FY2023 (+1.5%), $16.64 billion in FY2022 (-10.4%) and $18.57 billion in FY2021 (-3.9%).
- Quarterly Non-Current Assets has moved between $16.59 billion (Q1 2025) and $18.7 billion (Q3 2021) over five years.
- Compared with a year earlier, Non-Current Assets was higher in five of the last eight quarters, with growth averaging 2.7%.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2025 (growth of 7.7%); the worst was Q4 2022 (a decline of 10.4%).
- Per Business Quant data, ZBH's Non-Current Assets in the three quarters before Q2 2026 was $17.76 billion (Q1 2026), $17.97 billion (Q4 2025) and $17.65 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Zimmer Biomet Holdings | 16.94 Bn | 14.23 Bn | 1.54 Bn | 17.70 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.70 Bn |
| Mar 31, 2026 | 17.76 Bn |
| Dec 31, 2025 | 17.97 Bn |
| Sep 30, 2025 | 17.65 Bn |
| Jun 30, 2025 | 17.81 Bn |
| Mar 31, 2025 | 16.59 Bn |
| Dec 31, 2024 | 16.69 Bn |
| Sep 30, 2024 | 16.86 Bn |
| Jun 30, 2024 | 16.88 Bn |
| Mar 31, 2024 | 16.82 Bn |
| Dec 31, 2023 | 16.89 Bn |
| Sep 30, 2023 | 16.85 Bn |
| Jun 30, 2023 | 16.91 Bn |
| Mar 31, 2023 | 16.83 Bn |
| Dec 31, 2022 | 16.64 Bn |
| Sep 30, 2022 | 16.80 Bn |
| Jun 30, 2022 | 16.99 Bn |
| Mar 31, 2022 | 17.10 Bn |
| Dec 31, 2021 | 18.57 Bn |
| Sep 30, 2021 | 18.70 Bn |
Zimmer Biomet Holdings Non-Current Assets 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=non-current-assets&ticker=ZBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ZBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();