Gentex (GNTX) Cost of Revenue (2009 - 2026)
Gentex (GNTX) reported Cost of Revenue of $410.3 million for Q2 2026, down 5.1% from $432.57 million a year earlier and down 8.2% from the prior quarter.
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Analysis
Gentex (GNTX) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Gentex's Cost of Revenue came in at $1.71 billion, up 7.5% year-over-year; for FY2025, it came in at $1.67 billion, up 8.1% from FY2024.
- Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $1.54 billion in FY2024 (+0.4%), $1.54 billion in FY2023 (+17.4%), $1.31 billion in FY2022 (+17.8%) and $1.11 billion in FY2021 (+2.7%).
- The Q2 2026 figure ranks as the lowest quarterly Cost of Revenue since Q1 2025.
- Year over year, Cost of Revenue gained in five of the last eight quarters, with growth averaging 5.5%.
- The high point for year-over-year Cost of Revenue in five years was Q3 2022 (growth of 33.9%); the low point was Q4 2021 (a decline of 11.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $446.82 million (Q1 2026), $419.88 million (Q4 2025) and $430.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 23.49 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 63.91 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 1.07 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 29.57 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 40.70 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 42.22 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 1.48 Bn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 9.37 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 44.99 Bn |
| 10 | Gentex | 4.65 Bn | 3.90 Bn | 241.00 Mn | 410.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 410.30 Mn |
| Mar 31, 2026 | 446.82 Mn |
| Dec 31, 2025 | 419.88 Mn |
| Sep 30, 2025 | 430.07 Mn |
| Jun 30, 2025 | 432.57 Mn |
| Mar 31, 2025 | 385.04 Mn |
| Dec 31, 2024 | 365.41 Mn |
| Sep 30, 2024 | 404.46 Mn |
| Jun 30, 2024 | 384.36 Mn |
| Mar 31, 2024 | 387.99 Mn |
| Dec 31, 2023 | 385.76 Mn |
| Sep 30, 2023 | 384.41 Mn |
| Jun 30, 2023 | 390.39 Mn |
| Mar 31, 2023 | 376.02 Mn |
| Dec 31, 2022 | 339.81 Mn |
| Sep 30, 2022 | 346.44 Mn |
| Jun 30, 2022 | 315.06 Mn |
| Mar 31, 2022 | 307.84 Mn |
| Dec 31, 2021 | 275.93 Mn |
| Sep 30, 2021 | 258.70 Mn |
API Access
Gentex 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=GNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();