Integra Lifesciences Holdings (IART) Research & Development (2009 - 2026)
Integra Lifesciences Holdings' Research & Development was $21.9 million in Q3 2026, down 2.5% from $22.46 million a year earlier and down 9.7% from the prior quarter.
Integra Lifesciences Holdings (IART) Research & Development (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Integra Lifesciences Holdings' Research & Development was $94.44 million through Sep 30, 2026, down 10.4% year-over-year; for FY2025, it came in at $98.97 million, down 14.2% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In earlier years, Research & Development was $115.38 million in FY2024 (+10.7%), $104.19 million in FY2023 (+3.0%), $101.19 million in FY2022 (+8.8%) and $93.05 million in FY2021 (+20.3%).
- The Q3 2026 figure marks the lowest quarterly Research & Development since Q2 2021.
- Compared with a year earlier, Research & Development has declined for seven straight quarters, with an average decline of 5.7% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q4 2024 (growth of 28.5%); the worst was Q4 2025 (a decline of 20.6%).
- Per Business Quant data, IART's Research & Development in the three quarters before Q3 2026 was $24.25 million (Q2 2026), $23.5 million (Q1 2026) and $24.79 million (Q4 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 | Integra Lifesciences Holdings | 1.12 Bn | 9.06 Mn | 209.87 Mn | 21.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.90 Mn |
| Jun 30, 2026 | 24.25 Mn |
| Mar 31, 2026 | 23.50 Mn |
| Dec 31, 2025 | 24.79 Mn |
| Sep 30, 2025 | 22.46 Mn |
| Jun 30, 2025 | 27.00 Mn |
| Mar 31, 2025 | 24.73 Mn |
| Dec 31, 2024 | 31.21 Mn |
| Sep 30, 2024 | 27.44 Mn |
| Jun 30, 2024 | 29.77 Mn |
| Mar 31, 2024 | 26.97 Mn |
| Dec 31, 2023 | 24.28 Mn |
| Sep 30, 2023 | 26.60 Mn |
| Jun 30, 2023 | 26.59 Mn |
| Mar 31, 2023 | 26.72 Mn |
| Dec 31, 2022 | 26.78 Mn |
| Sep 30, 2022 | 24.74 Mn |
| Jun 30, 2022 | 25.59 Mn |
| Mar 31, 2022 | 24.09 Mn |
| Dec 31, 2021 | 24.73 Mn |
Integra Lifesciences 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=IART&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "IART", "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=IART&period=max&api_key=YOUR_API_KEY");
const data = await res.json();