Conmed (CNMD) Cash & Equivalents (2010 - 2026)
Conmed (CNMD) reported Cash & Equivalents of $37.33 million for Q2 2026, up 10.0% from $33.94 million a year earlier and up 6.6% from the prior quarter.
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Analysis
Conmed (CNMD) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Conmed posted Cash & Equivalents of $40.82 million, up 66.9% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $24.46 million in FY2024 (+0.7%), $24.3 million in FY2023 (-16.1%), $28.94 million in FY2022 (+38.8%) and $20.85 million in FY2021 (-23.8%).
- Five-year quarterly Cash & Equivalents spans a low of $20.85 million in Q4 2021 and a high of $53.15 million in Q2 2022.
- Year over year, Cash & Equivalents gained in seven of the last eight quarters, with growth averaging 15.7%.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2025 (growth of 66.9%); the low point was Q2 2023 (a decline of 47.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $35.03 million (Q1 2026), $40.82 million (Q4 2025) and $38.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Conmed | 1.39 Bn | 1.23 Bn | 197.46 Mn | 37.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.33 Mn |
| Mar 31, 2026 | 35.03 Mn |
| Dec 31, 2025 | 40.82 Mn |
| Sep 30, 2025 | 38.93 Mn |
| Jun 30, 2025 | 33.94 Mn |
| Mar 31, 2025 | 35.49 Mn |
| Dec 31, 2024 | 24.46 Mn |
| Sep 30, 2024 | 38.47 Mn |
| Jun 30, 2024 | 28.87 Mn |
| Mar 31, 2024 | 33.86 Mn |
| Dec 31, 2023 | 24.30 Mn |
| Sep 30, 2023 | 30.50 Mn |
| Jun 30, 2023 | 27.85 Mn |
| Mar 31, 2023 | 26.49 Mn |
| Dec 31, 2022 | 28.94 Mn |
| Sep 30, 2022 | 33.35 Mn |
| Jun 30, 2022 | 53.15 Mn |
| Mar 31, 2022 | 24.86 Mn |
| Dec 31, 2021 | 20.85 Mn |
| Sep 30, 2021 | 31.51 Mn |
API Access
Conmed Cash & Equivalents 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=cash-and-equivalents&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();