Envista Holdings (NVST) Return on Sales [ROS] (2018 - 2026)
Envista Holdings (NVST) recorded Return on Sales [ROS] of 10.99% in Q2 2026, up 4.20 percentage points from 6.79% a year earlier and up 2.13 percentage points from the prior quarter.
Envista Holdings (NVST) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
On a TTM basis, Envista Holdings' Return on Sales [ROS] came in at 9.58% as of Jul 3, 2026, up 3.61 percentage points year-over-year; for FY2025, it came in at 7.95%, up 49.30 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +5.69 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -41.35% in FY2024 (-42.58 pp), 1.23% in FY2023 (-11.20 pp), 12.42% in FY2022 (+0.22 pp) and 12.20% in FY2021 (+9.95 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q3 2023.
- On a year-over-year basis, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +28.86 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 188.95 percentage points in Q2 2025, against a drop of 194.08 percentage points in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 8.86% (Q1 2026), 9.77% (Q4 2025) and 8.58% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Envista Holdings | 3.77 Bn | -786.32 Mn | 407.00 Mn | 10.99% |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 10.99% |
| Apr 3, 2026 | 8.86% |
| Dec 31, 2025 | 9.77% |
| Sep 26, 2025 | 8.58% |
| Jun 27, 2025 | 6.79% |
| Mar 28, 2025 | 6.32% |
| Dec 31, 2024 | 7.06% |
| Sep 27, 2024 | 3.48% |
| Jun 28, 2024 | -182.17% |
| Mar 29, 2024 | 7.71% |
| Dec 31, 2023 | -31.41% |
| Sep 29, 2023 | 13.19% |
| Jun 30, 2023 | 11.91% |
| Mar 31, 2023 | 11.50% |
| Dec 31, 2022 | 13.32% |
| Sep 30, 2022 | 11.80% |
| Jul 1, 2022 | 10.10% |
| Apr 1, 2022 | 14.49% |
| Dec 31, 2021 | 7.07% |
| Oct 1, 2021 | 13.45% |
Envista Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NVST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=NVST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();