Zimmer Biomet Holdings (ZBH) Tax Provisions (2009 - 2026)
Zimmer Biomet Holdings (ZBH) posted Tax Provisions of $55.5 million for Q2 2026, down 22.1% from $71.2 million a year earlier and down 11.9% from the prior quarter.
Zimmer Biomet Holdings (ZBH) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Zimmer Biomet Holdings was $126.6 million, down 14.3% year-over-year; for FY2025, it came in at $125.7 million, down 4.3% from FY2024.
- In prior years, Zimmer Biomet Holdings' Tax Provisions was $131.4 million in FY2024 (+211.4%), $42.2 million in FY2023 (-62.4%), $112.3 million in FY2022 (+109.9%) and $53.5 million in FY2021.
- Quarterly Tax Provisions has run from a low of -$135.2 million in Q4 2023 to a high of $71.2 million in Q2 2025 over five years.
- On a year-over-year basis, Tax Provisions increased in three of the last four quarters, with growth averaging 11.0%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q3 2021, with growth of 191.8%; the weakest was Q2 2026, with a decline of 22.1%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $63 million (Q1 2026), -$39.9 million (Q4 2025) and $48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.84 Bn | 232.87 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 177.90 Bn | 148.33 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 163.51 Bn | 147.32 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 155.70 Bn | 135.12 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 122.67 Bn | 87.92 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 118.12 Bn | 104.23 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 67.11 Bn | 61.88 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Becton Dickinson | 54.66 Bn | 51.81 Bn | 2.32 Bn | 102.00 Mn |
| 9 | Edwards Lifesciences | 51.62 Bn | 35.63 Bn | 1.35 Bn | 278.40 Mn |
| 10 | Zimmer Biomet Holdings | 18.88 Bn | 16.16 Bn | 1.54 Bn | 55.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.50 Mn |
| Mar 31, 2026 | 63.00 Mn |
| Dec 31, 2025 | -39.90 Mn |
| Sep 30, 2025 | 48.00 Mn |
| Jun 30, 2025 | 71.20 Mn |
| Mar 31, 2025 | 46.50 Mn |
| Dec 31, 2024 | 48.90 Mn |
| Sep 30, 2024 | -18.90 Mn |
| Jun 30, 2024 | 59.10 Mn |
| Mar 31, 2024 | 42.30 Mn |
| Dec 31, 2023 | -135.20 Mn |
| Sep 30, 2023 | 56.40 Mn |
| Jun 30, 2023 | 66.90 Mn |
| Mar 31, 2023 | 54.10 Mn |
| Dec 31, 2022 | 55.40 Mn |
| Sep 30, 2022 | -16.60 Mn |
| Jun 30, 2022 | 45.50 Mn |
| Mar 31, 2022 | 28.00 Mn |
| Dec 31, 2021 | -29.20 Mn |
| Sep 30, 2021 | 28.30 Mn |
Zimmer Biomet Holdings Tax Provisions 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=tax-provisions&ticker=ZBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ZBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();