Conmed (CNMD) EV to EBITDA (2011 - 2026)
Conmed's EV to EBITDA was 5.08 in Q2 2026, down 21.1% from 6.44 a year earlier and down 7.8% from the prior quarter.
Conmed (CNMD) EV to EBITDA (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Conmed's EV to EBITDA was 4.46 through Jun 30, 2026, down 26.1% year-over-year; for FY2025, it was 6.85, down 10.9% from FY2024.
- EV to EBITDA has now declined for five consecutive years.
- In earlier years, EV to EBITDA was 7.68 in FY2024 (-55.8%), 17.39 in FY2023 (-9.3%), 19.16 in FY2022 (-16.6%) and 22.99 in FY2021 (-15.2%).
- The Q2 2026 figure marks the lowest quarterly EV to EBITDA in data going back to Q2 2011.
- Compared with a year earlier, EV to EBITDA has declined for 11 straight quarters, with an average decline of 31.0% over the last eight quarters.
- The best year-over-year quarter for EV to EBITDA over five years was Q2 2023 (growth of 93.3%); the worst was Q2 2024 (a decline of 70.8%).
- Per Business Quant data, CNMD's EV to EBITDA in the three quarters before Q2 2026 was 5.51 (Q1 2026), 6.85 (Q4 2025) and 7.39 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Conmed | 1.40 Bn | 1.25 Bn | 197.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.08 |
| Mar 31, 2026 | 5.51 |
| Dec 31, 2025 | 6.85 |
| Sep 30, 2025 | 7.39 |
| Jun 30, 2025 | 6.44 |
| Mar 31, 2025 | 7.24 |
| Dec 31, 2024 | 7.68 |
| Sep 30, 2024 | 8.09 |
| Jun 30, 2024 | 9.00 |
| Mar 31, 2024 | 11.32 |
| Dec 31, 2023 | 17.39 |
| Sep 30, 2023 | 21.79 |
| Jun 30, 2023 | 30.82 |
| Mar 31, 2023 | 24.05 |
| Dec 31, 2022 | 19.16 |
| Sep 30, 2022 | 13.57 |
| Jun 30, 2022 | 15.94 |
| Mar 31, 2022 | 24.05 |
| Dec 31, 2021 | 22.99 |
| Sep 30, 2021 | 22.52 |
Conmed EV to EBITDA 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=ev-to-ebitda&ticker=CNMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();