Conmed (CNMD) Receivables - Net (2010 - 2026)
Conmed (CNMD) recorded Receivables - Net of $239.77 million in Q2 2026, up 2.4% from $234.15 million a year earlier and up 4.9% from the prior quarter.
Conmed (CNMD) Receivables - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, Conmed reported Receivables - Net of $247.83 million, up 4.2% from FY2024.
- Annual Receivables - Net has a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- Across earlier years, Receivables - Net came in at $237.73 million in FY2024 (-1.9%), $242.28 million in FY2023 (+26.6%), $191.35 million in FY2022 (+4.1%) and $183.88 million in FY2021 (+3.8%).
- Quarterly Receivables - Net has ranged from $165.43 million in Q3 2021 to $247.83 million in Q4 2025 over the past five years.
- On a year-over-year basis, Receivables - Net has increased for three consecutive quarters, with an average decline of 0.6% over the last eight quarters.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 26.6% in Q4 2023, against a decline of 8.4% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $228.66 million (Q1 2026), $247.83 million (Q4 2025) and $224.94 million (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 | 239.77 Mn |
| Mar 31, 2026 | 228.66 Mn |
| Dec 31, 2025 | 247.83 Mn |
| Sep 30, 2025 | 224.94 Mn |
| Jun 30, 2025 | 234.15 Mn |
| Mar 31, 2025 | 221.14 Mn |
| Dec 31, 2024 | 237.73 Mn |
| Sep 30, 2024 | 231.23 Mn |
| Jun 30, 2024 | 239.22 Mn |
| Mar 31, 2024 | 241.46 Mn |
| Dec 31, 2023 | 242.28 Mn |
| Sep 30, 2023 | 230.20 Mn |
| Jun 30, 2023 | 229.26 Mn |
| Mar 31, 2023 | 213.18 Mn |
| Dec 31, 2022 | 191.35 Mn |
| Sep 30, 2022 | 197.29 Mn |
| Jun 30, 2022 | 202.12 Mn |
| Mar 31, 2022 | 183.25 Mn |
| Dec 31, 2021 | 183.88 Mn |
| Sep 30, 2021 | 165.43 Mn |
Conmed Receivables - Net 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=receivables-net&ticker=CNMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();