Integer Holdings (ITGR) Operating Expenses (2010 - 2026)
Integer Holdings (ITGR) reported Operating Expenses of $78.41 million for Q2 2026, up 12.3% from $69.81 million a year earlier and up 0.9% from the prior quarter.
Powered by 
Analysis
Integer Holdings (ITGR) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, Integer Holdings' Operating Expenses came in at $294.68 million, up 13.8% year-over-year; for FY2025, it was $279.12 million, up 11.3% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $250.78 million in FY2024 (+1.7%), $246.57 million in FY2023 (+5.8%), $233.08 million in FY2022 (+15.8%) and $201.26 million in FY2021 (+21.9%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q1 2016.
- Year over year, Operating Expenses has now increased in each of the last six quarters, with growth averaging 8.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 168.4%); the low point was Q4 2024 (a decline of 9.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $77.73 million (Q1 2026), $68.82 million (Q4 2025) and $69.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Integer Holdings | 4.29 Bn | 4.19 Bn | 112.94 Mn | 78.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 78.41 Mn |
| Apr 3, 2026 | 77.73 Mn |
| Dec 31, 2025 | 68.82 Mn |
| Sep 26, 2025 | 69.72 Mn |
| Jun 27, 2025 | 69.81 Mn |
| Mar 28, 2025 | 70.77 Mn |
| Dec 31, 2024 | 59.76 Mn |
| Sep 27, 2024 | 58.56 Mn |
| Jun 28, 2024 | 62.88 Mn |
| Mar 29, 2024 | 69.57 Mn |
| Dec 31, 2023 | 66.03 Mn |
| Sep 29, 2023 | 56.21 Mn |
| Jun 30, 2023 | 64.23 Mn |
| Mar 31, 2023 | 62.51 Mn |
| Dec 31, 2022 | 56.46 Mn |
| Sep 30, 2022 | 57.46 Mn |
| Jul 1, 2022 | 60.19 Mn |
| Apr 1, 2022 | 58.98 Mn |
| Dec 31, 2021 | 53.20 Mn |
| Oct 1, 2021 | 48.78 Mn |
API Access
Integer 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=ITGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ITGR", "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=ITGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();