Integer Holdings (ITGR) Accumulated Expenses (2010 - 2026)
Integer Holdings (ITGR) reported Accumulated Expenses of $97.08 million for Q2 2026, up 8.2% from $89.74 million a year earlier and up 16.6% from the prior quarter.
Integer Holdings (ITGR) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Integer Holdings posted Accumulated Expenses of $109.81 million, up 1.4% from FY2024.
- Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $108.32 million in FY2024 (+19.5%), $90.64 million in FY2023 (+23.3%), $73.5 million in FY2022 (+29.1%) and $56.93 million in FY2021 (+0.2%).
- Five-year quarterly Accumulated Expenses spans a low of $55.76 million in Q1 2022 and a high of $109.81 million in Q4 2025.
- Year over year, Accumulated Expenses gained in seven of the last eight quarters, with growth averaging 9.0%.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2022 (growth of 38.5%); the low point was Q1 2026 (a decline of 2.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $83.23 million (Q1 2026), $109.81 million (Q4 2025) and $89.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Integer Holdings | 4.30 Bn | 4.19 Bn | 112.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 97.08 Mn |
| Apr 3, 2026 | 83.23 Mn |
| Dec 31, 2025 | 109.81 Mn |
| Sep 26, 2025 | 89.95 Mn |
| Jun 27, 2025 | 89.74 Mn |
| Mar 28, 2025 | 85.66 Mn |
| Dec 31, 2024 | 108.32 Mn |
| Sep 27, 2024 | 86.14 Mn |
| Jun 28, 2024 | 77.36 Mn |
| Mar 29, 2024 | 70.70 Mn |
| Dec 31, 2023 | 90.64 Mn |
| Sep 29, 2023 | 82.49 Mn |
| Jun 30, 2023 | 74.21 Mn |
| Mar 31, 2023 | 69.92 Mn |
| Dec 31, 2022 | 73.50 Mn |
| Sep 30, 2022 | 70.40 Mn |
| Jul 1, 2022 | 68.34 Mn |
| Apr 1, 2022 | 55.76 Mn |
| Dec 31, 2021 | 56.93 Mn |
| Oct 1, 2021 | 59.78 Mn |
Integer 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=ITGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ITGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();