Envista Holdings (NVST) Cost of Revenue (2018 - 2026)
Envista Holdings (NVST) posted Cost of Revenue of $323.5 million for Q2 2026, up 3.6% from $312.2 million a year earlier and up 2.6% from the prior quarter.
Envista Holdings (NVST) Cost of Revenue (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Cost of Revenue at Envista Holdings was $1.28 billion, up 10.5% year-over-year; for FY2025, it came in at $1.23 billion, up 8.3% from FY2024.
- Annual Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- In prior years, Envista Holdings' Cost of Revenue was $1.14 billion in FY2024 (+1.1%), $1.13 billion in FY2023 (+2.9%), $1.09 billion in FY2022 (+1.1%) and $1.08 billion in FY2021 (+23.8%).
- Quarterly Cost of Revenue has run from a low of $251 million in Q3 2021 to a high of $340 million in Q4 2025 over five years.
- On a year-over-year basis, Cost of Revenue has increased in each of the last six quarters, with growth averaging 5.8% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2025, with growth of 21.3%; the weakest was Q4 2024, with a decline of 9.5%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $315.4 million (Q1 2026), $340 million (Q4 2025) and $299.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Envista Holdings | 3.77 Bn | -786.32 Mn | 407.00 Mn | 323.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 323.50 Mn |
| Apr 3, 2026 | 315.40 Mn |
| Dec 31, 2025 | 340.00 Mn |
| Sep 26, 2025 | 299.70 Mn |
| Jun 27, 2025 | 312.20 Mn |
| Mar 28, 2025 | 280.90 Mn |
| Dec 31, 2024 | 280.40 Mn |
| Sep 27, 2024 | 283.70 Mn |
| Jun 28, 2024 | 306.50 Mn |
| Mar 29, 2024 | 267.30 Mn |
| Dec 31, 2023 | 309.70 Mn |
| Sep 29, 2023 | 268.00 Mn |
| Jun 30, 2023 | 283.80 Mn |
| Mar 31, 2023 | 264.50 Mn |
| Dec 31, 2022 | 294.60 Mn |
| Sep 30, 2022 | 266.40 Mn |
| Jul 1, 2022 | 276.00 Mn |
| Apr 1, 2022 | 257.30 Mn |
| Dec 31, 2021 | 308.60 Mn |
| Oct 1, 2021 | 251.00 Mn |
Envista Holdings Cost of Revenue 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=cost-of-revenue&ticker=NVST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=NVST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();