Envista Holdings (NVST) Amortization of Deferred Charges (2019 - 2026)
Envista Holdings' Amortization of Deferred Charges came in at $17.4 million for Q2 2026, down 8.4% from $19 million a year earlier and down 7.4% from the prior quarter.
Envista Holdings (NVST) Amortization of Deferred Charges (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 3, 2026, Envista Holdings reported Amortization of Deferred Charges of $74.3 million, down 1.1% year-over-year; for FY2025, it was $75.9 million, down 7.8% from FY2024.
- Amortization of Deferred Charges has declined in each of the last three years, with a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- Going back by year, Amortization of Deferred Charges was $82.3 million in FY2024 (-17.4%), $99.6 million in FY2023 (-6.0%), $106 million in FY2022 (+28.0%) and $82.8 million in FY2021 (-8.2%).
- The Q2 2026 figure represents the lowest quarterly Amortization of Deferred Charges in data going back to Q3 2019.
- Year-over-year, Amortization of Deferred Charges increased in two of the last eight quarters, with an average decline of 9.9%.
- The fastest year-over-year change in Amortization of Deferred Charges over five years came in Q4 2022 (growth of 37.6%), and the weakest in Q3 2024 (a decline of 21.8%).
- Business Quant data shows NVST's Amortization of Deferred Charges at $18.8 million (Q1 2026), $19 million (Q4 2025) and $19.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Envista Holdings | 3.77 Bn | -786.32 Mn | 407.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 17.40 Mn |
| Apr 3, 2026 | 18.80 Mn |
| Dec 31, 2025 | 19.00 Mn |
| Sep 26, 2025 | 19.10 Mn |
| Jun 27, 2025 | 19.00 Mn |
| Mar 28, 2025 | 18.80 Mn |
| Dec 31, 2024 | 18.60 Mn |
| Sep 27, 2024 | 18.70 Mn |
| Jun 28, 2024 | 22.40 Mn |
| Mar 29, 2024 | 22.60 Mn |
| Dec 31, 2023 | 23.70 Mn |
| Sep 29, 2023 | 23.90 Mn |
| Jun 30, 2023 | 24.10 Mn |
| Mar 31, 2023 | 27.90 Mn |
| Dec 31, 2022 | 27.80 Mn |
| Sep 30, 2022 | 27.90 Mn |
| Jul 1, 2022 | 26.80 Mn |
| Apr 1, 2022 | 23.50 Mn |
| Dec 31, 2021 | 20.20 Mn |
| Oct 1, 2021 | 20.60 Mn |
Envista Holdings Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=NVST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=NVST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();