Gentex (GNTX) EBITDA (2009 - 2026)
Gentex's EBITDA was $167.11 million in Q2 2026, up 14.5% from $145.89 million a year earlier and up 11.9% from the prior quarter.
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Analysis
Gentex (GNTX) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gentex's EBITDA was $610.02 million through Jun 30, 2026, up 11.6% year-over-year; for FY2025, it came in at $577.98 million, up 4.2% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In earlier years, EBITDA was $554.44 million in FY2024 (-5.9%), $589.05 million in FY2023 (+26.3%), $466.57 million in FY2022 (-8.3%) and $508.89 million in FY2021 (+0.9%).
- The Q2 2026 figure marks the highest quarterly EBITDA since Q4 2020.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with growth averaging 2.7% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q2 2023 (growth of 36.9%); the worst was Q4 2021 (a decline of 40.7%).
- Per Business Quant data, GNTX's EBITDA in the three quarters before Q2 2026 was $149.32 million (Q1 2026), $145.33 million (Q4 2025) and $148.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 2.02 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 10.70 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 878.33 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | - |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 2.76 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 2.50 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | -599.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Gentex | 4.58 Bn | 3.83 Bn | 241.00 Mn | 167.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 167.11 Mn |
| Mar 31, 2026 | 149.32 Mn |
| Dec 31, 2025 | 145.33 Mn |
| Sep 30, 2025 | 148.26 Mn |
| Jun 30, 2025 | 145.89 Mn |
| Mar 31, 2025 | 138.50 Mn |
| Dec 31, 2024 | 113.60 Mn |
| Sep 30, 2024 | 148.67 Mn |
| Jun 30, 2024 | 138.87 Mn |
| Mar 31, 2024 | 153.30 Mn |
| Dec 31, 2023 | 155.09 Mn |
| Sep 30, 2023 | 144.58 Mn |
| Jun 30, 2023 | 152.09 Mn |
| Mar 31, 2023 | 137.29 Mn |
| Dec 31, 2022 | 117.40 Mn |
| Sep 30, 2022 | 110.03 Mn |
| Jun 30, 2022 | 111.13 Mn |
| Mar 31, 2022 | 128.02 Mn |
| Dec 31, 2021 | 111.97 Mn |
| Sep 30, 2021 | 111.77 Mn |
API Access
Gentex EBITDA 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=ebitda&ticker=GNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();