Gentex (GNTX) Operating Expenses (2009 - 2026)
Gentex (GNTX) reported Operating Expenses of $99.66 million for Q2 2026, down 6.7% from $106.77 million a year earlier and down 5.1% from the prior quarter.
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Analysis
Gentex (GNTX) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Gentex's Operating Expenses came in at $411.88 million, up 17.6% year-over-year; for FY2025, it was $392.77 million, up 26.1% from FY2024.
- Operating Expenses has increased for 12 consecutive years, with a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $311.36 million in FY2024 (+16.7%), $266.9 million in FY2023 (+11.3%), $239.81 million in FY2022 (+14.2%) and $209.93 million in FY2021 (+2.0%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q1 2025.
- Year over year, Operating Expenses gained in seven of the last eight quarters, with growth averaging 20.9%.
- The high point for year-over-year Operating Expenses in five years was Q2 2025 (growth of 44.9%); the low point was Q2 2026 (a decline of 6.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $104.97 million (Q1 2026), $104.42 million (Q4 2025) and $102.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 78.18 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Gentex | 4.58 Bn | 3.83 Bn | 241.00 Mn | 99.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.66 Mn |
| Mar 31, 2026 | 104.97 Mn |
| Dec 31, 2025 | 104.42 Mn |
| Sep 30, 2025 | 102.84 Mn |
| Jun 30, 2025 | 106.77 Mn |
| Mar 31, 2025 | 78.75 Mn |
| Dec 31, 2024 | 86.46 Mn |
| Sep 30, 2024 | 78.34 Mn |
| Jun 30, 2024 | 73.68 Mn |
| Mar 31, 2024 | 72.89 Mn |
| Dec 31, 2023 | 70.59 Mn |
| Sep 30, 2023 | 69.02 Mn |
| Jun 30, 2023 | 65.79 Mn |
| Mar 31, 2023 | 61.49 Mn |
| Dec 31, 2022 | 59.72 Mn |
| Sep 30, 2022 | 60.41 Mn |
| Jun 30, 2022 | 62.58 Mn |
| Mar 31, 2022 | 57.11 Mn |
| Dec 31, 2021 | 55.95 Mn |
| Sep 30, 2021 | 52.74 Mn |
API Access
Gentex Operating Expenses 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=operating-expenses&ticker=GNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();