Enovis (ENOV) Cost of Revenue (2010 - 2026)
Enovis (ENOV) posted Cost of Revenue of $223.53 million for Q2 2026, down 2.7% from $229.85 million a year earlier and down 0.1% from the prior quarter.
Enovis (ENOV) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Cost of Revenue at Enovis was $893.54 million, down 3.8% year-over-year; for FY2025, it came in at $902.79 million, down 2.6% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- In prior years, Enovis' Cost of Revenue was $926.87 million in FY2024 (+29.4%), $716.42 million in FY2023 (+3.3%), $693.72 million in FY2022 (+7.0%) and $648.51 million in FY2021 (+25.4%).
- Quarterly Cost of Revenue has run from a low of $162.05 million in Q3 2021 to a high of $253.46 million in Q4 2024 over five years.
- On a year-over-year basis, Cost of Revenue has declined in each of the last three quarters, with growth averaging 5.6% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2024, with growth of 33.0%; the weakest was Q1 2022, with a decline of 66.6%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $223.67 million (Q1 2026), $226.34 million (Q4 2025) and $220 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Enovis | 1.02 Bn | 911.11 Mn | 359.25 Mn | 223.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 223.53 Mn |
| Apr 3, 2026 | 223.67 Mn |
| Dec 31, 2025 | 226.34 Mn |
| Oct 3, 2025 | 220.00 Mn |
| Jul 4, 2025 | 229.85 Mn |
| Apr 4, 2025 | 226.61 Mn |
| Dec 31, 2024 | 253.46 Mn |
| Sep 27, 2024 | 218.76 Mn |
| Jun 28, 2024 | 236.28 Mn |
| Mar 29, 2024 | 218.37 Mn |
| Dec 31, 2023 | 190.63 Mn |
| Sep 29, 2023 | 174.56 Mn |
| Jun 30, 2023 | 180.14 Mn |
| Mar 31, 2023 | 171.09 Mn |
| Dec 31, 2022 | 176.96 Mn |
| Sep 30, 2022 | 167.99 Mn |
| Jul 1, 2022 | 179.21 Mn |
| Apr 1, 2022 | 169.56 Mn |
| Dec 31, 2021 | 191.13 Mn |
| Oct 1, 2021 | 162.05 Mn |
Enovis Cost of Revenue 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=cost-of-revenue&ticker=ENOV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "ENOV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=ENOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();