Envista Holdings (NVST) Property, Plant & Equipment (Net) (2018 - 2026)
Envista Holdings (NVST) recorded Property, Plant & Equipment (Net) of $300.7 million in Q3 2026, up 4.3% from $288.4 million a year earlier and up 1.7% from the prior quarter.
Envista Holdings (NVST) Property, Plant & Equipment (Net) (2018 - 2026) Analysis & Trends
At the end of FY2025, Envista Holdings reported Property, Plant & Equipment (Net) of $296.8 million, up 7.1% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $277 million in FY2024 (-10.5%), $309.6 million in FY2023 (+5.4%), $293.6 million in FY2022 (+11.2%) and $264.1 million in FY2021 (-3.8%).
- The Q3 2026 figure is the highest quarterly Property, Plant & Equipment (Net) since Q1 2024.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for four consecutive quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 13.6% in Q2 2023, against a decline of 13.1% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $295.7 million (Q2 2026), $298.7 million (Q1 2026) and $296.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 10.58 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 12.88 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.77 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 5.68 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 4.05 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 4.18 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 1.86 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 4.73 Bn |
| 10 | Envista Holdings | 4.12 Bn | -454.38 Mn | 400.60 Mn | 300.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 2, 2026 | 300.70 Mn |
| Jul 3, 2026 | 295.70 Mn |
| Apr 3, 2026 | 298.70 Mn |
| Dec 31, 2025 | 296.80 Mn |
| Sep 26, 2025 | 288.40 Mn |
| Jun 27, 2025 | 287.00 Mn |
| Mar 28, 2025 | 279.70 Mn |
| Dec 31, 2024 | 277.00 Mn |
| Sep 27, 2024 | 291.50 Mn |
| Jun 28, 2024 | 290.80 Mn |
| Mar 29, 2024 | 306.20 Mn |
| Dec 31, 2023 | 309.60 Mn |
| Sep 29, 2023 | 304.00 Mn |
| Jun 30, 2023 | 300.10 Mn |
| Mar 31, 2023 | 297.60 Mn |
| Dec 31, 2022 | 293.60 Mn |
| Sep 30, 2022 | 277.20 Mn |
| Jul 1, 2022 | 264.10 Mn |
| Apr 1, 2022 | 264.20 Mn |
| Dec 31, 2021 | 264.10 Mn |
Envista Holdings Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=NVST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=NVST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();