Conmed (CNMD) Short-Term Debt repayments (2016 - 2026)
Conmed (CNMD) posted Short-Term Debt repayments of $247 million for Q2 2026, up 44.1% from $171.43 million a year earlier and up 59.4% from the prior quarter.
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Analysis
Conmed (CNMD) Short-Term Debt repayments (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Short-Term Debt repayments at Conmed was $760 million, up 9.8% year-over-year; for FY2025, it was $695.43 million, down 7.6% from FY2024.
- Annual Short-Term Debt repayments shows a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- In prior years, Conmed's Short-Term Debt repayments was $753 million in FY2024 (-0.9%), $760 million in FY2023 (+43.4%), $530 million in FY2022 (+34.6%) and $393.75 million in FY2021 (+85.7%).
- The Q2 2026 figure stands as the highest quarterly Short-Term Debt repayments since Q1 2019.
- On a year-over-year basis, Short-Term Debt repayments increased in three of the last eight quarters, with an average decline of 1.9%.
- The strongest year-over-year quarter for Short-Term Debt repayments in the past five years was Q2 2022, with growth of 139.3%; the weakest was Q2 2025, with a decline of 25.5%.
- According to Business Quant data, Short-Term Debt repayments for the three prior quarters was $155 million (Q1 2026), $187 million (Q4 2025) and $171 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 252.58 Bn | 231.61 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 177.91 Bn | 148.34 Bn | 7.27 Bn | - |
| 3 | Danaher | 163.81 Bn | 147.62 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 156.22 Bn | 135.64 Bn | 1.96 Bn | - |
| 5 | Medtronic | 122.73 Bn | 87.98 Bn | 6.34 Bn | - |
| 6 | Stryker | 118.55 Bn | 104.67 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 67.29 Bn | 62.06 Bn | 3.85 Bn | 13.00 Mn |
| 8 | Becton Dickinson | 54.69 Bn | 51.84 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.62 Bn | 35.63 Bn | 1.35 Bn | - |
| 10 | Conmed | 1.48 Bn | 1.33 Bn | 197.46 Mn | 247.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 247.00 Mn |
| Mar 31, 2026 | 155.00 Mn |
| Dec 31, 2025 | 187.00 Mn |
| Sep 30, 2025 | 171.00 Mn |
| Jun 30, 2025 | 171.43 Mn |
| Mar 31, 2025 | 166.00 Mn |
| Dec 31, 2024 | 186.00 Mn |
| Sep 30, 2024 | 169.00 Mn |
| Jun 30, 2024 | 230.00 Mn |
| Mar 31, 2024 | 168.00 Mn |
| Dec 31, 2023 | 200.00 Mn |
| Sep 30, 2023 | 213.00 Mn |
| Jun 30, 2023 | 183.00 Mn |
| Mar 31, 2023 | 164.00 Mn |
| Dec 31, 2022 | 126.00 Mn |
| Sep 30, 2022 | 92.00 Mn |
| Jun 30, 2022 | 213.00 Mn |
| Mar 31, 2022 | 99.00 Mn |
| Dec 31, 2021 | 121.00 Mn |
| Sep 30, 2021 | 111.75 Mn |
API Access
Conmed Short-Term Debt repayments 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=short-term-debt-repayments&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();