Gentex (GNTX) Buildings (2009 - 2025)
Gentex's Buildings was $591.49 million in Q4 2025, up 11.3% from $531.26 million a year earlier.
Powered by 
Analysis
Gentex (GNTX) Buildings (2009 - 2025) Analysis & Trends
From Q4 2009 onward, Gentex has reported Buildings for 17 quarters.
- Buildings has now increased for 16 consecutive years, with a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- In earlier years, Buildings was $531.26 million in FY2024 (+12.5%), $472.11 million in FY2023 (+25.3%), $376.93 million in FY2022 (+3.7%) and $363.65 million in FY2021 (+3.7%).
- The Q4 2025 figure marks the highest quarterly Buildings in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,239.99 Bn | 1,066.02 Bn | 4.75 Bn |
| 2 | Ferrari | 70.62 Bn | 63.11 Bn | 1.18 Bn |
| 3 | General Motors | 67.02 Bn | -37.59 Bn | 9.28 Bn |
| 4 | Ford Motor | 47.70 Bn | -94.79 Bn | 6.08 Bn |
| 5 | Honda Motor | 45.96 Bn | -103.85 Bn | 8.46 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn |
| 7 | Magna International | 18.06 Bn | 12.09 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 16.21 Bn | -7.10 Bn | 179.00 Mn |
| 9 | Stellantis | 12.30 Bn | -152.35 Bn | 5.55 Bn |
| 10 | Gentex | 4.45 Bn | 3.69 Bn | 241.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 591.49 Mn |
| Dec 31, 2024 | 531.26 Mn |
| Dec 31, 2023 | 472.11 Mn |
| Dec 31, 2022 | 376.93 Mn |
| Dec 31, 2021 | 363.65 Mn |
| Dec 31, 2020 | 350.57 Mn |
| Dec 31, 2019 | 344.23 Mn |
| Dec 31, 2018 | 340.91 Mn |
| Dec 31, 2017 | 317.60 Mn |
| Dec 31, 2016 | 294.70 Mn |
| Dec 31, 2015 | 232.67 Mn |
| Dec 31, 2014 | 231.16 Mn |
| Dec 31, 2013 | 223.19 Mn |
| Dec 31, 2012 | 198.16 Mn |
| Dec 31, 2011 | 130.29 Mn |
| Dec 31, 2010 | 120.58 Mn |
| Dec 31, 2009 | 112.28 Mn |
API Access
Gentex Buildings 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=buildings&ticker=GNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=GNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();