ENvue Medical (FEED) Change in Accured Expenses (2014 - 2026)
ENvue Medical's Change in Accured Expenses came in at $240,000 for Q2 2026, up 242.9% from $70,000 a year earlier but down 32.8% from the prior quarter.
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Analysis
ENvue Medical (FEED) Change in Accured Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, ENvue Medical reported Change in Accured Expenses of $966,000, up 14.0% year-over-year; for FY2025, it came in at $1.03 million, up 323.6% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 37.4% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $242,000 in FY2024, -$18,000 in FY2023, $78,000 in FY2022 and -$265,000 in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$157,000 (Q3 2022) to $586,000 (Q1 2025).
- Year-over-year, Change in Accured Expenses increased in four of the last five quarters, with growth averaging 243.8%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2025 (growth of 800.0%), and the weakest in Q4 2021 (a decline of 87.3%).
- Business Quant data shows FEED's Change in Accured Expenses at $357,000 (Q1 2026), $342,000 (Q4 2025) and $27,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | -249.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | - |
| 10 | ENvue Medical | 143,669.12 | -14.38 Mn | -266,000.00 | 240,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 240,000.00 |
| Mar 31, 2026 | 357,000.00 |
| Dec 31, 2025 | 342,000.00 |
| Sep 30, 2025 | 27,000.00 |
| Jun 30, 2025 | 70,000.00 |
| Mar 31, 2025 | 586,000.00 |
| Dec 31, 2024 | 188,000.00 |
| Sep 30, 2024 | 3,000.00 |
| Jun 30, 2024 | 30,000.00 |
| Mar 31, 2024 | 21,000.00 |
| Dec 31, 2023 | -79,000.00 |
| Sep 30, 2023 | -24,000.00 |
| Jun 30, 2023 | 44,000.00 |
| Mar 31, 2023 | 41,000.00 |
| Dec 31, 2022 | 155,000.00 |
| Sep 30, 2022 | -157,000.00 |
| Jun 30, 2022 | 56,000.00 |
| Mar 31, 2022 | 24,000.00 |
| Dec 31, 2021 | 29,000.00 |
| Sep 30, 2021 | 47,000.00 |
API Access
ENvue Medical Change in Accured 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=change-in-accured-expenses&ticker=FEED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=FEED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();