Zimmer Biomet Holdings (ZBH) Research & Development (2009 - 2026)
Zimmer Biomet Holdings' Research & Development was $104.8 million in Q2 2026, down 7.5% from $113.3 million a year earlier but up 1.4% from the prior quarter.
Zimmer Biomet Holdings (ZBH) Research & Development (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Zimmer Biomet Holdings' Research & Development was $442.8 million through Jun 30, 2026, down 0.3% year-over-year; for FY2025, it was $458.5 million, up 4.8% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In earlier years, Research & Development was $437.4 million in FY2024 (-4.6%), $458.7 million in FY2023 (+13.0%), $406 million in FY2022 (-6.8%) and $435.8 million in FY2021 (+35.0%).
- Quarterly Research & Development has moved between $93.8 million (Q3 2021) and $118.7 million (Q4 2025) over five years.
- Compared with a year earlier, Research & Development was higher in four of the last eight quarters, with an average decline of 0.4%.
- The best year-over-year quarter for Research & Development over five years was Q4 2021 (growth of 89.0%); the worst was Q2 2022 (a decline of 39.8%).
- Per Business Quant data, ZBH's Research & Development in the three quarters before Q2 2026 was $103.4 million (Q1 2026), $118.7 million (Q4 2025) and $115.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 348.00 Mn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 920.00 Mn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 433.00 Mn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 408.30 Mn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 433.00 Mn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 520.00 Mn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 281.40 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 258.00 Mn |
| 10 | Zimmer Biomet Holdings | 20.55 Bn | 18.73 Bn | 1.47 Bn | 105.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 105.90 Mn |
| Jun 30, 2026 | 104.80 Mn |
| Mar 31, 2026 | 103.40 Mn |
| Dec 31, 2025 | 118.70 Mn |
| Sep 30, 2025 | 115.90 Mn |
| Jun 30, 2025 | 113.30 Mn |
| Mar 31, 2025 | 110.60 Mn |
| Dec 31, 2024 | 108.50 Mn |
| Sep 30, 2024 | 111.60 Mn |
| Jun 30, 2024 | 109.40 Mn |
| Mar 31, 2024 | 107.90 Mn |
| Dec 31, 2023 | 113.30 Mn |
| Sep 30, 2023 | 116.90 Mn |
| Jun 30, 2023 | 118.10 Mn |
| Mar 31, 2023 | 110.40 Mn |
| Dec 31, 2022 | 108.00 Mn |
| Sep 30, 2022 | 101.70 Mn |
| Jun 30, 2022 | 99.40 Mn |
| Mar 31, 2022 | 96.90 Mn |
| Dec 31, 2021 | 96.00 Mn |
Zimmer Biomet Holdings Research & Development 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=research-and-development&ticker=ZBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ZBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();