Conmed (CNMD) Other Non-Current Liabilities (2010 - 2026)
Conmed (CNMD) reported Other Non-Current Liabilities of $61.88 million for Q2 2026, down 22.5% from $79.82 million a year earlier and down 1.8% from the prior quarter.
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Analysis
Conmed (CNMD) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Conmed posted Other Non-Current Liabilities of $63.85 million, down 26.0% from FY2024.
- Other Non-Current Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- By year, Other Non-Current Liabilities came in at $86.29 million in FY2024 (-28.7%), $121.03 million in FY2023 (-40.6%), $203.69 million in FY2022 (+373.8%) and $42.99 million in FY2021 (-27.5%).
- The Q2 2026 figure ranks as the lowest quarterly Other Non-Current Liabilities since Q1 2022.
- Year over year, Other Non-Current Liabilities has now declined in each of the last 12 quarters, with an average decline of 26.1% over the last eight quarters.
- The high point for year-over-year Other Non-Current Liabilities in five years was Q4 2022 (growth of 373.8%); the low point was Q1 2024 (a decline of 41.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $63.02 million (Q1 2026), $63.85 million (Q4 2025) and $71.66 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 | 61.88 Mn |
| Mar 31, 2026 | 63.02 Mn |
| Dec 31, 2025 | 63.85 Mn |
| Sep 30, 2025 | 71.66 Mn |
| Jun 30, 2025 | 79.82 Mn |
| Mar 31, 2025 | 75.50 Mn |
| Dec 31, 2024 | 86.29 Mn |
| Sep 30, 2024 | 94.62 Mn |
| Jun 30, 2024 | 107.25 Mn |
| Mar 31, 2024 | 109.08 Mn |
| Dec 31, 2023 | 121.03 Mn |
| Sep 30, 2023 | 144.07 Mn |
| Jun 30, 2023 | 151.80 Mn |
| Mar 31, 2023 | 186.16 Mn |
| Dec 31, 2022 | 203.69 Mn |
| Sep 30, 2022 | 218.11 Mn |
| Jun 30, 2022 | 109.84 Mn |
| Mar 31, 2022 | 41.81 Mn |
| Dec 31, 2021 | 42.99 Mn |
| Sep 30, 2021 | 52.94 Mn |
API Access
Conmed Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();