Conmed (CNMD) Operating Income (2010 - 2026)
Conmed's Operating Income was $36.41 million in Q2 2026, down 4.6% from $38.16 million a year earlier but up 43.2% from the prior quarter.
Conmed (CNMD) Operating Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Conmed's Operating Income was $110.32 million through Jun 30, 2026, down 36.0% year-over-year; for FY2025, it was $102.62 million, down 48.8% from FY2024.
- Operating Income shows a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- In earlier years, Operating Income was $200.33 million in FY2024 (+66.1%), $120.6 million in FY2023 (+72.2%), $70.05 million in FY2022 (-36.2%) and $109.72 million in FY2021 (+138.5%).
- Quarterly Operating Income has moved between -$1.1 million (Q4 2022) and $65.71 million (Q3 2024) over five years.
- Compared with a year earlier, Operating Income was higher in three of the last eight quarters, with an average decline of 1.2%.
- The best year-over-year quarter for Operating Income over five years was Q1 2024 (growth of 175.7%); the worst was Q3 2025 (a decline of 81.9%).
- Per Business Quant data, CNMD's Operating Income in the three quarters before Q2 2026 was $25.42 million (Q1 2026), $36.62 million (Q4 2025) and $11.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 513.20 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 663.00 Mn |
| 10 | Conmed | 1.39 Bn | 1.23 Bn | 197.46 Mn | 36.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.41 Mn |
| Mar 31, 2026 | 25.42 Mn |
| Dec 31, 2025 | 36.62 Mn |
| Sep 30, 2025 | 11.88 Mn |
| Jun 30, 2025 | 38.16 Mn |
| Mar 31, 2025 | 15.96 Mn |
| Dec 31, 2024 | 52.50 Mn |
| Sep 30, 2024 | 65.71 Mn |
| Jun 30, 2024 | 47.11 Mn |
| Mar 31, 2024 | 35.01 Mn |
| Dec 31, 2023 | 50.19 Mn |
| Sep 30, 2023 | 30.30 Mn |
| Jun 30, 2023 | 27.42 Mn |
| Mar 31, 2023 | 12.70 Mn |
| Dec 31, 2022 | -1.10 Mn |
| Sep 30, 2022 | 24.25 Mn |
| Jun 30, 2022 | 24.46 Mn |
| Mar 31, 2022 | 22.44 Mn |
| Dec 31, 2021 | 37.22 Mn |
| Sep 30, 2021 | 26.71 Mn |
Conmed Operating Income 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-income&ticker=CNMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();