Conmed (CNMD) Accounts Payables (2010 - 2026)
Conmed's Accounts Payables came in at $101.02 million for Q2 2026, unchanged from $101.05 million a year earlier and down 4.2% from the prior quarter.
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Analysis
Conmed (CNMD) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Conmed's Accounts Payables was $93.65 million, down 8.4% from FY2024.
- Accounts Payables carries a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- Going back by year, Accounts Payables was $102.25 million in FY2024 (+15.9%), $88.22 million in FY2023 (+20.2%), $73.39 million in FY2022 (+26.1%) and $58.2 million in FY2021 (+9.2%).
- The five-year range for quarterly Accounts Payables is $46.6 million (Q3 2021) to $107.09 million (Q3 2025).
- Year-over-year, Accounts Payables increased in four of the last eight quarters, with growth averaging 5.2%.
- The fastest year-over-year change in Accounts Payables over five years came in Q3 2022 (growth of 59.3%), and the weakest in Q3 2021 (a decline of 18.5%).
- Business Quant data shows CNMD's Accounts Payables at $105.42 million (Q1 2026), $93.65 million (Q4 2025) and $107.09 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Conmed | 1.39 Bn | 1.23 Bn | 197.46 Mn | 101.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.02 Mn |
| Mar 31, 2026 | 105.42 Mn |
| Dec 31, 2025 | 93.65 Mn |
| Sep 30, 2025 | 107.09 Mn |
| Jun 30, 2025 | 101.05 Mn |
| Mar 31, 2025 | 95.73 Mn |
| Dec 31, 2024 | 102.25 Mn |
| Sep 30, 2024 | 104.57 Mn |
| Jun 30, 2024 | 101.29 Mn |
| Mar 31, 2024 | 101.64 Mn |
| Dec 31, 2023 | 88.22 Mn |
| Sep 30, 2023 | 81.87 Mn |
| Jun 30, 2023 | 78.58 Mn |
| Mar 31, 2023 | 76.68 Mn |
| Dec 31, 2022 | 73.39 Mn |
| Sep 30, 2022 | 74.23 Mn |
| Jun 30, 2022 | 73.97 Mn |
| Mar 31, 2022 | 67.46 Mn |
| Dec 31, 2021 | 58.20 Mn |
| Sep 30, 2021 | 46.60 Mn |
API Access
Conmed Accounts Payables 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=accounts-payables&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();