Integra Lifesciences Holdings (IART) Operating Expenses (2009 - 2026)
Integra Lifesciences Holdings (IART) recorded Operating Expenses of $399.48 million in Q2 2026, down 57.0% from $928.28 million a year earlier but up 5.0% from the prior quarter.
Integra Lifesciences Holdings (IART) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Integra Lifesciences Holdings' Operating Expenses came in at $1.58 billion as of Jun 30, 2026, down 25.5% year-over-year; for FY2025, it came in at $2.13 billion, up 34.5% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.58 billion in FY2024 (+10.6%), $1.43 billion in FY2023 (+8.4%), $1.32 billion in FY2022 (-2.0%) and $1.35 billion in FY2021 (+10.2%).
- Quarterly Operating Expenses has ranged from $320.14 million in Q3 2022 to $928.28 million in Q2 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 11.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 120.4% in Q2 2025, against a decline of 57.0% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $380.45 million (Q1 2026), $411.89 million (Q4 2025) and $390.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Integra Lifesciences Holdings | 1.03 Bn | -42.50 Mn | 219.74 Mn | 399.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 399.48 Mn |
| Mar 31, 2026 | 380.45 Mn |
| Dec 31, 2025 | 411.89 Mn |
| Sep 30, 2025 | 390.30 Mn |
| Jun 30, 2025 | 928.28 Mn |
| Mar 31, 2025 | 398.15 Mn |
| Dec 31, 2024 | 407.02 Mn |
| Sep 30, 2024 | 388.98 Mn |
| Jun 30, 2024 | 421.20 Mn |
| Mar 31, 2024 | 364.91 Mn |
| Dec 31, 2023 | 360.99 Mn |
| Sep 30, 2023 | 355.83 Mn |
| Jun 30, 2023 | 368.76 Mn |
| Mar 31, 2023 | 344.46 Mn |
| Dec 31, 2022 | 330.18 Mn |
| Sep 30, 2022 | 320.14 Mn |
| Jun 30, 2022 | 337.95 Mn |
| Mar 31, 2022 | 330.47 Mn |
| Dec 31, 2021 | 347.30 Mn |
| Sep 30, 2021 | 330.42 Mn |
Integra Lifesciences Holdings Operating Expenses 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=operating-expenses&ticker=IART&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=IART&period=max&api_key=YOUR_API_KEY");
const data = await res.json();