Conmed (CNMD) Tax Provisions (2010 - 2026)
Conmed (CNMD) reported Tax Provisions of $8.28 million for Q2 2026, down 2.6% from $8.5 million a year earlier but up 82.8% from the prior quarter.
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Analysis
Conmed (CNMD) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Conmed's Tax Provisions came in at $26.73 million, down 2.8% year-over-year; for FY2025, it came in at $24.06 million, down 21.4% from FY2024.
- By year, Tax Provisions came in at $30.61 million in FY2024 (+87.0%), $16.37 million in FY2023 (+68.4%), $9.72 million in FY2022 (-8.0%) and $10.56 million in FY2021.
- Five-year quarterly Tax Provisions spans a low of -$37.12 million in Q4 2022 and a high of $74.81 million in Q2 2022.
- Year over year, Tax Provisions gained in five of the last eight quarters, with growth averaging 19.9%.
- The high point for year-over-year Tax Provisions in five years was Q1 2024 (growth of 813.6%); the low point was Q2 2023 (a decline of 95.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.53 million (Q1 2026), $12.51 million (Q4 2025) and $1.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.81 Bn | 232.84 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 177.71 Bn | 148.14 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 164.57 Bn | 148.38 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 155.63 Bn | 135.05 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 122.77 Bn | 88.02 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 118.32 Bn | 104.44 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 67.03 Bn | 61.80 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Becton Dickinson | 54.58 Bn | 51.72 Bn | 2.32 Bn | 102.00 Mn |
| 9 | Edwards Lifesciences | 51.64 Bn | 35.65 Bn | 1.35 Bn | 278.40 Mn |
| 10 | Conmed | 1.47 Bn | 1.32 Bn | 197.46 Mn | 8.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.28 Mn |
| Mar 31, 2026 | 4.53 Mn |
| Dec 31, 2025 | 12.51 Mn |
| Sep 30, 2025 | 1.41 Mn |
| Jun 30, 2025 | 8.50 Mn |
| Mar 31, 2025 | 1.64 Mn |
| Dec 31, 2024 | 9.89 Mn |
| Sep 30, 2024 | 7.47 Mn |
| Jun 30, 2024 | 7.54 Mn |
| Mar 31, 2024 | 5.71 Mn |
| Dec 31, 2023 | 7.61 Mn |
| Sep 30, 2023 | 4.44 Mn |
| Jun 30, 2023 | 3.69 Mn |
| Mar 31, 2023 | 625,000.00 |
| Dec 31, 2022 | -37.12 Mn |
| Sep 30, 2022 | -30.44 Mn |
| Jun 30, 2022 | 74.81 Mn |
| Mar 31, 2022 | 2.47 Mn |
| Dec 31, 2021 | 5.20 Mn |
| Sep 30, 2021 | 2.49 Mn |
API Access
Conmed Tax Provisions 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=tax-provisions&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();