Conmed (CNMD) Amortization of Deferred Charges (2019 - 2026)
Conmed (CNMD) recorded Amortization of Deferred Charges of $14.97 million in Q2 2026, up 6.1% from $14.11 million a year earlier and up 2.1% from the prior quarter.
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Analysis
Conmed (CNMD) Amortization of Deferred Charges (2019 - 2026) Analysis & Trends
On a TTM basis, Conmed's Amortization of Deferred Charges came in at $58.65 million as of Jun 30, 2026, up 5.3% year-over-year; for FY2025, it came in at $57.14 million, up 3.4% from FY2024.
- Annual Amortization of Deferred Charges has a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- Across earlier years, Amortization of Deferred Charges came in at $55.25 million in FY2024 (-0.8%), $55.67 million in FY2023 (+4.1%), $53.46 million in FY2022 (-1.4%) and $54.25 million in FY2021 (-0.6%).
- The Q2 2026 figure is the highest quarterly Amortization of Deferred Charges in data going back to Q1 2019.
- On a year-over-year basis, Amortization of Deferred Charges has increased for six consecutive quarters, with growth averaging 2.8% over the last eight quarters.
- Peak year-over-year performance for Amortization of Deferred Charges in the last five years was growth of 8.4% in Q1 2023, against a decline of 5.3% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $14.66 million (Q1 2026), $14.78 million (Q4 2025) and $14.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 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 | 14.97 Mn |
| Mar 31, 2026 | 14.66 Mn |
| Dec 31, 2025 | 14.78 Mn |
| Sep 30, 2025 | 14.23 Mn |
| Jun 30, 2025 | 14.11 Mn |
| Mar 31, 2025 | 14.02 Mn |
| Dec 31, 2024 | 13.81 Mn |
| Sep 30, 2024 | 13.78 Mn |
| Jun 30, 2024 | 13.67 Mn |
| Mar 31, 2024 | 13.99 Mn |
| Dec 31, 2023 | 13.95 Mn |
| Sep 30, 2023 | 13.95 Mn |
| Jun 30, 2023 | 13.90 Mn |
| Mar 31, 2023 | 13.88 Mn |
| Dec 31, 2022 | 13.71 Mn |
| Sep 30, 2022 | 13.69 Mn |
| Jun 30, 2022 | 13.27 Mn |
| Mar 31, 2022 | 12.80 Mn |
| Dec 31, 2021 | 13.50 Mn |
| Sep 30, 2021 | 13.43 Mn |
API Access
Conmed Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();