Enovis (ENOV) Accumulated Expenses (2010 - 2026)
Enovis (ENOV) recorded Accumulated Expenses of $380.19 million in Q2 2026, up 13.1% from $336.14 million a year earlier and up 5.6% from the prior quarter.
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Analysis
Enovis (ENOV) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Enovis reported Accumulated Expenses of $375.94 million, up 14.0% from FY2024.
- Annual Accumulated Expenses has increased for three straight years, though with a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $329.87 million in FY2024 (+39.1%), $237.13 million in FY2023 (+12.8%), $210.29 million in FY2022 (-6.7%) and $225.39 million in FY2021 (-50.4%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses since Q1 2022.
- On a year-over-year basis, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 15.5% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 88.8% in Q1 2024, against a decline of 59.6% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $360.04 million (Q1 2026), $375.94 million (Q4 2025) and $355.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Enovis | 1.04 Bn | 927.83 Mn | 359.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 380.19 Mn |
| Apr 3, 2026 | 360.04 Mn |
| Dec 31, 2025 | 375.94 Mn |
| Oct 3, 2025 | 355.24 Mn |
| Jul 4, 2025 | 336.14 Mn |
| Apr 4, 2025 | 269.25 Mn |
| Dec 31, 2024 | 329.87 Mn |
| Sep 27, 2024 | 352.16 Mn |
| Jun 28, 2024 | 343.15 Mn |
| Mar 29, 2024 | 373.28 Mn |
| Dec 31, 2023 | 237.13 Mn |
| Sep 29, 2023 | 230.22 Mn |
| Jun 30, 2023 | 206.49 Mn |
| Mar 31, 2023 | 197.75 Mn |
| Dec 31, 2022 | 210.29 Mn |
| Sep 30, 2022 | 225.02 Mn |
| Jul 1, 2022 | 204.21 Mn |
| Apr 1, 2022 | 490.05 Mn |
| Dec 31, 2021 | 225.39 Mn |
| Oct 1, 2021 | 488.63 Mn |
API Access
Enovis Accumulated 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=accumulated-expenses&ticker=ENOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ENOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();