Envista Holdings (NVST) Change in Accured Expenses (2018 - 2026)
Envista Holdings' Change in Accured Expenses came in at $7.4 million for Q2 2026, down 83.1% from $43.7 million a year earlier.
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Analysis
Envista Holdings (NVST) Change in Accured Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 3, 2026, Envista Holdings reported Change in Accured Expenses of $39.1 million, down 68.0% year-over-year; for FY2025, it came in at $116 million, down 13.8% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 63.3% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $134.5 million in FY2024, -$12 million in FY2023, -$133 million in FY2022 and $34.3 million in FY2021 (+243.0%).
- The five-year range for quarterly Change in Accured Expenses is -$51.5 million (Q1 2022) to $53 million (Q4 2021).
- Year-over-year, Change in Accured Expenses increased in two of the last six quarters, with an average decline of 9.1%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q4 2021 (growth of 390.7%), and the weakest in Q2 2026 (a decline of 83.1%).
- Business Quant data shows NVST's Change in Accured Expenses at -$39.8 million (Q1 2026), $21 million (Q4 2025) and $50.5 million (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 | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Envista Holdings | 3.77 Bn | -786.32 Mn | 407.00 Mn | 7.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 7.40 Mn |
| Apr 3, 2026 | -39.80 Mn |
| Dec 31, 2025 | 21.00 Mn |
| Sep 26, 2025 | 50.50 Mn |
| Jun 27, 2025 | 43.70 Mn |
| Mar 28, 2025 | 800,000.00 |
| Dec 31, 2024 | 35.00 Mn |
| Sep 27, 2024 | 42.80 Mn |
| Jun 28, 2024 | 52.40 Mn |
| Mar 29, 2024 | 4.30 Mn |
| Dec 31, 2023 | 14.10 Mn |
| Sep 29, 2023 | 1.10 Mn |
| Jun 30, 2023 | 14.10 Mn |
| Mar 31, 2023 | -41.30 Mn |
| Dec 31, 2022 | -23.30 Mn |
| Sep 30, 2022 | -28.80 Mn |
| Jul 1, 2022 | -29.40 Mn |
| Apr 1, 2022 | -51.50 Mn |
| Dec 31, 2021 | 53.00 Mn |
| Oct 1, 2021 | 15.50 Mn |
API Access
Envista Holdings 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=NVST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "NVST", "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=NVST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();