Conmed (CNMD) Non-Current Debt (2010 - 2026)
Conmed (CNMD) reported Non-Current Debt of $657.05 million for Q2 2026, down 25.4% from $881.11 million a year earlier and down 23.6% from the prior quarter.
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Analysis
Conmed (CNMD) Non-Current Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Conmed posted Non-Current Debt of $834.23 million, down 7.8% from FY2024.
- Non-Current Debt has declined for three consecutive years, though with a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- By year, Non-Current Debt came in at $905.07 million in FY2024 (-7.0%), $973.14 million in FY2023 (-1.2%), $985.08 million in FY2022 (+46.5%) and $672.41 million in FY2021 (-8.5%).
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Debt since Q4 2018.
- Year over year, Non-Current Debt has now declined in each of the last 13 quarters, with an average decline of 9.0% over the last eight quarters.
- The high point for year-over-year Non-Current Debt in five years was Q3 2022 (growth of 47.4%); the low point was Q2 2026 (a decline of 25.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $860.16 million (Q1 2026), $834.23 million (Q4 2025) and $853.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 13.51 Bn |
| 10 | Conmed | 1.40 Bn | 1.25 Bn | 197.46 Mn | 657.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 657.05 Mn |
| Mar 31, 2026 | 860.16 Mn |
| Dec 31, 2025 | 834.23 Mn |
| Sep 30, 2025 | 853.01 Mn |
| Jun 30, 2025 | 881.11 Mn |
| Mar 31, 2025 | 891.44 Mn |
| Dec 31, 2024 | 905.07 Mn |
| Sep 30, 2024 | 940.09 Mn |
| Jun 30, 2024 | 965.17 Mn |
| Mar 31, 2024 | 990.11 Mn |
| Dec 31, 2023 | 973.14 Mn |
| Sep 30, 2023 | 942.17 Mn |
| Jun 30, 2023 | 971.48 Mn |
| Mar 31, 2023 | 995.28 Mn |
| Dec 31, 2022 | 985.08 Mn |
| Sep 30, 2022 | 1.04 Bn |
| Jun 30, 2022 | 982.43 Mn |
| Mar 31, 2022 | 703.54 Mn |
| Dec 31, 2021 | 672.41 Mn |
| Sep 30, 2021 | 703.34 Mn |
API Access
Conmed Non-Current Debt 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=non-current-debt&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();