Envista Holdings (NVST) Depreciation and Depletion (2018 - 2026)
Envista Holdings (NVST) posted Depreciation and Depletion of $10.4 million for Q2 2026, down 3.7% from $10.8 million a year earlier and unchanged from the prior quarter.
Envista Holdings (NVST) Depreciation and Depletion (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Depreciation and Depletion at Envista Holdings was $41 million, up 3.5% year-over-year; for FY2025, it was $40.1 million, down 1.7% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- In prior years, Envista Holdings' Depreciation and Depletion was $40.8 million in FY2024 (+13.3%), $36 million in FY2023 (+13.2%), $31.8 million in FY2022 (-22.1%) and $40.8 million in FY2021 (-3.8%).
- Quarterly Depreciation and Depletion has run from a low of $7.8 million in Q3 2022 to a high of $11.6 million in Q2 2024 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in three of the last eight quarters, with growth averaging 2.9%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q2 2024, with growth of 23.4%; the weakest was Q4 2022, with a decline of 30.7%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $10.4 million (Q1 2026), $10.1 million (Q4 2025) and $10.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 122.00 Mn |
| 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 | Envista Holdings | 3.72 Bn | -832.90 Mn | 407.00 Mn | 10.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 10.40 Mn |
| Apr 3, 2026 | 10.40 Mn |
| Dec 31, 2025 | 10.10 Mn |
| Sep 26, 2025 | 10.10 Mn |
| Jun 27, 2025 | 10.80 Mn |
| Mar 28, 2025 | 9.10 Mn |
| Dec 31, 2024 | 9.20 Mn |
| Sep 27, 2024 | 10.50 Mn |
| Jun 28, 2024 | 11.60 Mn |
| Mar 29, 2024 | 9.50 Mn |
| Dec 31, 2023 | 9.20 Mn |
| Sep 29, 2023 | 8.90 Mn |
| Jun 30, 2023 | 9.40 Mn |
| Mar 31, 2023 | 8.50 Mn |
| Dec 31, 2022 | 7.90 Mn |
| Sep 30, 2022 | 7.80 Mn |
| Jul 1, 2022 | 8.30 Mn |
| Apr 1, 2022 | 7.80 Mn |
| Dec 31, 2021 | 11.40 Mn |
| Oct 1, 2021 | 9.50 Mn |
Envista Holdings Depreciation and Depletion 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=depreciation-and-depletion&ticker=NVST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=NVST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();