Gentex (GNTX) Return on Sales [ROS] (2009 - 2026)
Gentex (GNTX) posted Return on Sales [ROS] of 21.70% for Q2 2026, up 3.68 percentage points from 18.02% a year earlier and up 3.39 percentage points from the prior quarter.
Gentex (GNTX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Gentex was 19.32%, up 0.58 percentage points year-over-year; for FY2025, it was 18.70%, down 1.17 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -4.97 percentage points (FY2020 to FY2025).
- In prior years, Gentex's Return on Sales [ROS] was 19.87% in FY2024 (-1.69 pp), 21.56% in FY2023 (+2.28 pp), 19.28% in FY2022 (-4.39 pp) and 23.67% in FY2021 (unchanged).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q1 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -1.06 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2026, with a gain of 3.68 percentage points; the weakest was Q4 2021, with a drop of 9.70 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 18.31% (Q1 2026), 18.64% (Q4 2025) and 18.67% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 1.41% |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 7.86% |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 31.22% |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 8.76% |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 3.04% |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 1.32% |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | -50.42% |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 12.19% |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 1.61% |
| 10 | Gentex | 4.65 Bn | 3.90 Bn | 241.00 Mn | 21.70% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.70% |
| Mar 31, 2026 | 18.31% |
| Dec 31, 2025 | 18.64% |
| Sep 30, 2025 | 18.67% |
| Jun 30, 2025 | 18.02% |
| Mar 31, 2025 | 19.59% |
| Dec 31, 2024 | 16.57% |
| Sep 30, 2024 | 20.66% |
| Jun 30, 2024 | 20.05% |
| Mar 31, 2024 | 21.91% |
| Dec 31, 2023 | 22.54% |
| Sep 30, 2023 | 21.26% |
| Jun 30, 2023 | 21.82% |
| Mar 31, 2023 | 20.56% |
| Dec 31, 2022 | 19.07% |
| Sep 30, 2022 | 17.58% |
| Jun 30, 2022 | 18.51% |
| Mar 31, 2022 | 22.06% |
| Dec 31, 2021 | 20.95% |
| Sep 30, 2021 | 22.06% |
Gentex 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=GNTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GNTX", "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=GNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();