ENvue Medical (FEED) Operating Expenses (2014 - 2026)
ENvue Medical (FEED) reported Operating Expenses of $5.21 million for Q2 2026, up 32.1% from $3.94 million a year earlier and up 42.5% from the prior quarter.
ENvue Medical (FEED) Operating Expenses (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, ENvue Medical's Operating Expenses came in at $25.74 million, up 188.7% year-over-year; for FY2025, it came in at $23.04 million, up 352.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 36.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $5.09 million in FY2024 (+2.4%), $4.97 million in FY2023 (-4.0%), $5.18 million in FY2022 (-19.7%) and $6.45 million in FY2021 (+30.8%).
- Five-year quarterly Operating Expenses spans a low of $1 million in Q3 2022 and a high of $14.44 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last eight quarters, with growth averaging 169.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2025 (growth of 773.8%); the low point was Q4 2022 (a decline of 49.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.66 million (Q1 2026), $14.44 million (Q4 2025) and $2.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.22 Bn | 227.25 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 178.33 Bn | 148.76 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.74 Bn | 143.54 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 158.45 Bn | 138.74 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 122.77 Bn | 88.02 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 118.25 Bn | 104.37 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 54.49 Bn | 51.64 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 51.67 Bn | 35.68 Bn | 1.35 Bn | 840.10 Mn |
| 10 | ENvue Medical | 128,276.00 | -14.39 Mn | -266,000.00 | 5.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.21 Mn |
| Mar 31, 2026 | 3.66 Mn |
| Dec 31, 2025 | 14.44 Mn |
| Sep 30, 2025 | 2.44 Mn |
| Jun 30, 2025 | 3.94 Mn |
| Mar 31, 2025 | 2.22 Mn |
| Dec 31, 2024 | 1.65 Mn |
| Sep 30, 2024 | 1.10 Mn |
| Jun 30, 2024 | 1.10 Mn |
| Mar 31, 2024 | 1.23 Mn |
| Dec 31, 2023 | 1.44 Mn |
| Sep 30, 2023 | 1.02 Mn |
| Jun 30, 2023 | 1.23 Mn |
| Mar 31, 2023 | 1.29 Mn |
| Dec 31, 2022 | 1.41 Mn |
| Sep 30, 2022 | 1.00 Mn |
| Jun 30, 2022 | 1.55 Mn |
| Mar 31, 2022 | 1.22 Mn |
| Dec 31, 2021 | 2.77 Mn |
| Sep 30, 2021 | 1.10 Mn |
ENvue Medical 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=FEED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FEED", "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=FEED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();