Integra Lifesciences Holdings (IART) Accumulated Expenses (2009 - 2026)
Integra Lifesciences Holdings' Accumulated Expenses was $101.84 million in Q3 2026, down 23.3% from $132.86 million a year earlier and down 5.4% from the prior quarter.
Integra Lifesciences Holdings (IART) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Integra Lifesciences Holdings came in at $130.49 million, up 7.0% from FY2024.
- Accumulated Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $121.91 million in FY2024 (+20.9%), $100.84 million in FY2023 (+26.0%), $80.03 million in FY2022 (-33.6%) and $120.46 million in FY2021 (+27.9%).
- The Q3 2026 figure marks the lowest quarterly Accumulated Expenses since Q4 2023.
- Compared with a year earlier, Accumulated Expenses has declined for three straight quarters, with growth averaging 4.4% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2024 (growth of 46.1%); the worst was Q4 2022 (a decline of 33.6%).
- Per Business Quant data, IART's Accumulated Expenses in the three quarters before Q3 2026 was $107.62 million (Q2 2026), $133.32 million (Q1 2026) and $130.49 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Integra Lifesciences Holdings | 1.13 Bn | 15.08 Mn | 209.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 101.84 Mn |
| Jun 30, 2026 | 107.62 Mn |
| Mar 31, 2026 | 133.32 Mn |
| Dec 31, 2025 | 130.49 Mn |
| Sep 30, 2025 | 132.86 Mn |
| Jun 30, 2025 | 131.38 Mn |
| Mar 31, 2025 | 137.42 Mn |
| Dec 31, 2024 | 121.91 Mn |
| Sep 30, 2024 | 131.94 Mn |
| Jun 30, 2024 | 102.49 Mn |
| Mar 31, 2024 | 111.90 Mn |
| Dec 31, 2023 | 100.84 Mn |
| Sep 30, 2023 | 90.31 Mn |
| Jun 30, 2023 | 94.55 Mn |
| Mar 31, 2023 | 93.36 Mn |
| Dec 31, 2022 | 80.03 Mn |
| Sep 30, 2022 | 78.99 Mn |
| Jun 30, 2022 | 85.40 Mn |
| Mar 31, 2022 | 105.34 Mn |
| Dec 31, 2021 | 120.46 Mn |
Integra Lifesciences Holdings Accumulated 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=accumulated-expenses&ticker=IART&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=IART&period=max&api_key=YOUR_API_KEY");
const data = await res.json();