Enovis (ENOV) Operating Expenses (2010 - 2026)
Enovis (ENOV) reported Operating Expenses of $300.28 million for Q2 2026, up 0.6% from $298.49 million a year earlier but down 5.3% from the prior quarter.
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Analysis
Enovis (ENOV) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, Enovis' Operating Expenses came in at $1.22 billion, up 4.8% year-over-year; for FY2025, it was $1.2 billion, up 4.7% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.15 billion in FY2024 (+24.2%), $922.97 million in FY2023 (+8.5%), $850.97 million in FY2022 (+17.6%) and $723.55 million in FY2021 (+27.7%).
- Five-year quarterly Operating Expenses spans a low of $182.96 million in Q3 2021 and a high of $317.05 million in Q1 2026.
- Year over year, Operating Expenses has now increased in each of the last 17 quarters, with growth averaging 8.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2024 (growth of 28.1%); the low point was Q3 2021 (a decline of 35.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $317.05 million (Q1 2026), $305.1 million (Q4 2025) and $295.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Enovis | 1.06 Bn | 950.32 Mn | 359.25 Mn | 300.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 300.28 Mn |
| Apr 3, 2026 | 317.05 Mn |
| Dec 31, 2025 | 305.10 Mn |
| Oct 3, 2025 | 295.27 Mn |
| Jul 4, 2025 | 298.49 Mn |
| Apr 4, 2025 | 301.41 Mn |
| Dec 31, 2024 | 286.39 Mn |
| Sep 27, 2024 | 275.41 Mn |
| Jun 28, 2024 | 292.17 Mn |
| Mar 29, 2024 | 291.98 Mn |
| Dec 31, 2023 | 234.88 Mn |
| Sep 29, 2023 | 229.49 Mn |
| Jun 30, 2023 | 230.60 Mn |
| Mar 31, 2023 | 227.99 Mn |
| Dec 31, 2022 | 232.89 Mn |
| Sep 30, 2022 | 200.78 Mn |
| Jul 1, 2022 | 211.56 Mn |
| Apr 1, 2022 | 205.74 Mn |
| Dec 31, 2021 | 197.28 Mn |
| Oct 1, 2021 | 182.96 Mn |
API Access
Enovis Operating Expenses 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=operating-expenses&ticker=ENOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ENOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();