Integer Holdings (ITGR) Non Operating Interest Expenses (2010 - 2026)
Integer Holdings (ITGR) reported Non Operating Interest Expenses of $10.14 million for Q2 2026, up 3.9% from $9.75 million a year earlier and up 4.1% from the prior quarter.
Powered by 
Analysis
Integer Holdings (ITGR) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, Integer Holdings' Non Operating Interest Expenses came in at $38.52 million, down 26.5% year-over-year; for FY2025, it was $43.21 million, down 23.4% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $56.37 million in FY2024 (+9.9%), $51.28 million in FY2023 (+37.6%), $37.27 million in FY2022 (+17.8%) and $31.63 million in FY2021 (-17.2%).
- The Q2 2026 figure ranks as the highest quarterly Non Operating Interest Expenses since Q1 2025.
- Year over year, Non Operating Interest Expenses gained in four of the last eight quarters, with an average decline of 10.8%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q1 2023 (growth of 189.1%); the low point was Q4 2021 (a decline of 40.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9.73 million (Q1 2026), $9.28 million (Q4 2025) and $9.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Integer Holdings | 4.30 Bn | 4.19 Bn | 112.94 Mn | 10.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 10.14 Mn |
| Apr 3, 2026 | 9.73 Mn |
| Dec 31, 2025 | 9.28 Mn |
| Sep 26, 2025 | 9.37 Mn |
| Jun 27, 2025 | 9.75 Mn |
| Mar 28, 2025 | 14.81 Mn |
| Dec 31, 2024 | 13.23 Mn |
| Sep 27, 2024 | 14.58 Mn |
| Jun 28, 2024 | 14.57 Mn |
| Mar 29, 2024 | 13.99 Mn |
| Dec 31, 2023 | 12.05 Mn |
| Sep 29, 2023 | 11.49 Mn |
| Jun 30, 2023 | 11.46 Mn |
| Mar 31, 2023 | 17.25 Mn |
| Dec 31, 2022 | 12.85 Mn |
| Sep 30, 2022 | 10.68 Mn |
| Jul 1, 2022 | 7.77 Mn |
| Apr 1, 2022 | 5.97 Mn |
| Dec 31, 2021 | 5.51 Mn |
| Oct 1, 2021 | 10.05 Mn |
API Access
Integer Holdings Non Operating Interest 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=non-operating-interest-expenses&ticker=ITGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ITGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();