Conmed (CNMD) Interest Expenses (2010 - 2026)
Conmed (CNMD) reported Interest Expenses of $7.88 million for Q2 2026, up 0.8% from $7.82 million a year earlier and up 11.7% from the prior quarter.
Conmed (CNMD) Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Conmed's Interest Expenses came in at $29.92 million, down 12.6% year-over-year; for FY2025, it came in at $31.09 million, down 16.7% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of -6.7% (FY2020 to FY2025).
- By year, Interest Expenses came in at $37.3 million in FY2024 (-6.2%), $39.78 million in FY2023 (+37.6%), $28.91 million in FY2022 (-18.5%) and $35.49 million in FY2021 (-19.4%).
- The Q2 2026 figure ranks as the highest quarterly Interest Expenses since Q1 2025.
- Year over year, Interest Expenses gained in 1 of the last eight quarters, with an average decline of 11.9%.
- The high point for year-over-year Interest Expenses in five years was Q1 2023 (growth of 105.2%); the low point was Q1 2022 (a decline of 51.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.06 million (Q1 2026), $7.37 million (Q4 2025) and $7.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | Conmed | 1.39 Bn | 1.23 Bn | 197.46 Mn | 7.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.88 Mn |
| Mar 31, 2026 | 7.06 Mn |
| Dec 31, 2025 | 7.37 Mn |
| Sep 30, 2025 | 7.61 Mn |
| Jun 30, 2025 | 7.82 Mn |
| Mar 31, 2025 | 8.29 Mn |
| Dec 31, 2024 | 8.86 Mn |
| Sep 30, 2024 | 9.25 Mn |
| Jun 30, 2024 | 9.59 Mn |
| Mar 31, 2024 | 9.59 Mn |
| Dec 31, 2023 | 9.50 Mn |
| Sep 30, 2023 | 10.02 Mn |
| Jun 30, 2023 | 10.00 Mn |
| Mar 31, 2023 | 10.26 Mn |
| Dec 31, 2022 | 9.44 Mn |
| Sep 30, 2022 | 8.54 Mn |
| Jun 30, 2022 | 5.93 Mn |
| Mar 31, 2022 | 5.00 Mn |
| Dec 31, 2021 | 7.57 Mn |
| Sep 30, 2021 | 8.15 Mn |
Conmed 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=interest-expenses&ticker=CNMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "CNMD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();