Conmed (CNMD) Other Accumulated Expenses (2010 - 2026)
Conmed's Other Accumulated Expenses came in at $106.77 million for Q2 2026, down 14.7% from $125.12 million a year earlier and down 15.1% from the prior quarter.
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Analysis
Conmed (CNMD) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Conmed's Other Accumulated Expenses was $138.54 million, up 26.2% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $109.8 million in FY2024 (-27.6%), $151.73 million in FY2023 (+53.8%), $98.68 million in FY2022 (+50.2%) and $65.71 million in FY2021 (-3.8%).
- The Q2 2026 figure represents the lowest quarterly Other Accumulated Expenses since Q4 2022.
- Year-over-year, Other Accumulated Expenses increased in three of the last eight quarters, with an average decline of 3.4%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q3 2023 (growth of 104.3%), and the weakest in Q3 2024 (a decline of 29.3%).
- Business Quant data shows CNMD's Other Accumulated Expenses at $125.7 million (Q1 2026), $138.54 million (Q4 2025) and $130.74 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Conmed | 1.39 Bn | 1.23 Bn | 197.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.77 Mn |
| Mar 31, 2026 | 125.70 Mn |
| Dec 31, 2025 | 138.54 Mn |
| Sep 30, 2025 | 130.74 Mn |
| Jun 30, 2025 | 125.12 Mn |
| Mar 31, 2025 | 129.00 Mn |
| Dec 31, 2024 | 109.80 Mn |
| Sep 30, 2024 | 115.61 Mn |
| Jun 30, 2024 | 109.14 Mn |
| Mar 31, 2024 | 139.15 Mn |
| Dec 31, 2023 | 151.73 Mn |
| Sep 30, 2023 | 163.49 Mn |
| Jun 30, 2023 | 149.91 Mn |
| Mar 31, 2023 | 124.94 Mn |
| Dec 31, 2022 | 98.68 Mn |
| Sep 30, 2022 | 80.02 Mn |
| Jun 30, 2022 | 76.49 Mn |
| Mar 31, 2022 | 62.49 Mn |
| Dec 31, 2021 | 65.71 Mn |
| Sep 30, 2021 | 69.71 Mn |
API Access
Conmed Other Accumulated 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=other-accumulated-expenses&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();