Envista Holdings (NVST) Inventory (2019 - 2026)
Envista Holdings (NVST) posted Inventory of $290.9 million for Q2 2026, up 3.2% from $281.9 million a year earlier but down 3.1% from the prior quarter.
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Analysis
Envista Holdings (NVST) Inventory (2019 - 2026) Analysis & Trends
At the end of FY2025, Envista Holdings' Inventory came in at $288.1 million, up 19.5% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In prior years, Envista Holdings' Inventory was $241 million in FY2024 (-6.9%), $258.8 million in FY2023 (-14.0%), $300.8 million in FY2022 (+14.0%) and $263.8 million in FY2021 (+22.1%).
- Quarterly Inventory has run from a low of $241 million in Q4 2024 to a high of $307.2 million in Q1 2023 over five years.
- On a year-over-year basis, Inventory has increased in each of the last five quarters, with growth averaging 5.0% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q4 2021, with growth of 22.1%; the weakest was Q4 2023, with a decline of 14.0%.
- According to Business Quant data, Inventory for the three prior quarters was $300.3 million (Q1 2026), $288.1 million (Q4 2025) and $290.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Envista Holdings | 3.77 Bn | -786.32 Mn | 407.00 Mn | 290.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 290.90 Mn |
| Apr 3, 2026 | 300.30 Mn |
| Dec 31, 2025 | 288.10 Mn |
| Sep 26, 2025 | 290.80 Mn |
| Jun 27, 2025 | 281.90 Mn |
| Mar 28, 2025 | 261.30 Mn |
| Dec 31, 2024 | 241.00 Mn |
| Sep 27, 2024 | 265.60 Mn |
| Jun 28, 2024 | 263.80 Mn |
| Mar 29, 2024 | 267.40 Mn |
| Dec 31, 2023 | 258.80 Mn |
| Sep 29, 2023 | 278.80 Mn |
| Jun 30, 2023 | 297.00 Mn |
| Mar 31, 2023 | 307.20 Mn |
| Dec 31, 2022 | 300.80 Mn |
| Sep 30, 2022 | 291.30 Mn |
| Jul 1, 2022 | 286.00 Mn |
| Apr 1, 2022 | 280.40 Mn |
| Dec 31, 2021 | 263.80 Mn |
| Oct 1, 2021 | 274.30 Mn |
API Access
Envista Holdings Inventory 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=inventory&ticker=NVST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=NVST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();