Conmed (CNMD) Retained Earnings (2010 - 2026)
Conmed (CNMD) reported Retained Earnings of $625.67 million for Q2 2026, up 8.7% from $575.36 million a year earlier and up 3.8% from the prior quarter.
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Analysis
Conmed (CNMD) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Conmed posted Retained Earnings of $588.77 million, up 5.1% from FY2024.
- Retained Earnings has increased for three consecutive years, with a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- By year, Retained Earnings came in at $560.28 million in FY2024 (+23.8%), $452.53 million in FY2023 (+9.7%), $412.63 million in FY2022 (-16.9%) and $496.61 million in FY2021 (+8.6%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year over year, Retained Earnings has now increased in each of the last 13 quarters, with growth averaging 14.4% over the last eight quarters.
- The high point for year-over-year Retained Earnings in five years was Q3 2024 (growth of 25.2%); the low point was Q2 2022 (a decline of 24.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $602.59 million (Q1 2026), $588.77 million (Q4 2025) and $572.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 62.19 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 49.79 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 48.23 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 6.84 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.82 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 7.82 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 14.86 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 17.51 Bn |
| 10 | Conmed | 1.40 Bn | 1.25 Bn | 197.46 Mn | 625.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 625.67 Mn |
| Mar 31, 2026 | 602.59 Mn |
| Dec 31, 2025 | 588.77 Mn |
| Sep 30, 2025 | 572.03 Mn |
| Jun 30, 2025 | 575.36 Mn |
| Mar 31, 2025 | 560.13 Mn |
| Dec 31, 2024 | 560.28 Mn |
| Sep 30, 2024 | 532.70 Mn |
| Jun 30, 2024 | 489.90 Mn |
| Mar 31, 2024 | 466.08 Mn |
| Dec 31, 2023 | 452.53 Mn |
| Sep 30, 2023 | 425.61 Mn |
| Jun 30, 2023 | 415.92 Mn |
| Mar 31, 2023 | 408.34 Mn |
| Dec 31, 2022 | 412.63 Mn |
| Sep 30, 2022 | 392.14 Mn |
| Jun 30, 2022 | 352.09 Mn |
| Mar 31, 2022 | 526.47 Mn |
| Dec 31, 2021 | 496.61 Mn |
| Sep 30, 2021 | 478.04 Mn |
API Access
Conmed Retained Earnings 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=retained-earnings&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();