Conmed (CNMD) Prepaid Assets (2010 - 2026)
Conmed (CNMD) posted Prepaid Assets of $38.39 million for Q2 2026, up 39.9% from $27.45 million a year earlier but down 5.9% from the prior quarter.
Analysis
Conmed (CNMD) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Conmed's Prepaid Assets came in at $28.67 million, down 7.8% from FY2024.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- In prior years, Conmed's Prepaid Assets was $31.1 million in FY2024 (+1.1%), $30.75 million in FY2023 (+7.4%), $28.62 million in FY2022 (+20.5%) and $23.75 million in FY2021 (+37.5%).
- Quarterly Prepaid Assets has run from a low of $17.89 million in Q3 2021 to a high of $40.79 million in Q1 2026 over five years.
- On a year-over-year basis, Prepaid Assets increased in four of the last eight quarters, with growth averaging 3.4%.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q3 2022, with growth of 116.8%; the weakest was Q1 2025, with a decline of 27.3%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $40.79 million (Q1 2026), $28.67 million (Q4 2025) and $33.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 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 | 38.39 Mn |
| Mar 31, 2026 | 40.79 Mn |
| Dec 31, 2025 | 28.67 Mn |
| Sep 30, 2025 | 33.93 Mn |
| Jun 30, 2025 | 27.45 Mn |
| Mar 31, 2025 | 27.70 Mn |
| Dec 31, 2024 | 31.10 Mn |
| Sep 30, 2024 | 28.75 Mn |
| Jun 30, 2024 | 33.39 Mn |
| Mar 31, 2024 | 38.11 Mn |
| Dec 31, 2023 | 30.75 Mn |
| Sep 30, 2023 | 39.13 Mn |
| Jun 30, 2023 | 31.11 Mn |
| Mar 31, 2023 | 35.04 Mn |
| Dec 31, 2022 | 28.62 Mn |
| Sep 30, 2022 | 38.79 Mn |
| Jun 30, 2022 | 32.20 Mn |
| Mar 31, 2022 | 26.46 Mn |
| Dec 31, 2021 | 23.75 Mn |
| Sep 30, 2021 | 17.89 Mn |
API Access
Conmed Prepaid Assets 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=prepaid-assets&ticker=CNMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();