Conmed (CNMD) EBIT (2010 - 2026)
Conmed's EBIT came in at $36.41 million for Q2 2026, down 4.6% from $38.16 million a year earlier but up 43.2% from the prior quarter.
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Analysis
Conmed (CNMD) EBIT (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Conmed reported EBIT of $110.32 million, down 36.0% year-over-year; for FY2025, it was $102.62 million, down 48.8% from FY2024.
- EBIT carries a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- Going back by year, EBIT 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%).
- The five-year range for quarterly EBIT is -$1.1 million (Q4 2022) to $65.71 million (Q3 2024).
- Year-over-year, EBIT increased in three of the last eight quarters, with an average decline of 1.2%.
- The fastest year-over-year change in EBIT over five years came in Q1 2024 (growth of 175.7%), and the weakest in Q3 2025 (a decline of 81.9%).
- Business Quant data shows CNMD's EBIT at $25.42 million (Q1 2026), $36.62 million (Q4 2025) and $11.88 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 513.20 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 663.00 Mn |
| 10 | Conmed | 1.40 Bn | 1.25 Bn | 197.46 Mn | 36.41 Mn |
Historic Data
Download Data
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 |
API Access
Conmed EBIT 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=ebit&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();