Gentex (GNTX) Accumulated Expenses (2009 - 2026)
Gentex (GNTX) recorded Accumulated Expenses of $153.14 million in Q2 2026, up 19.3% from $128.33 million a year earlier but down 6.7% from the prior quarter.
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Analysis
Gentex (GNTX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Gentex reported Accumulated Expenses of $134.76 million, up 59.7% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $84.38 million in FY2024 (-3.2%), $87.21 million in FY2023 (-11.7%), $98.81 million in FY2022 (+18.6%) and $83.31 million in FY2021 (-10.4%).
- Quarterly Accumulated Expenses has ranged from $83.31 million in Q4 2021 to $164.09 million in Q1 2026 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for five consecutive quarters, with growth averaging 23.9% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 59.7% in Q4 2025, against a decline of 24.2% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $164.09 million (Q1 2026), $134.76 million (Q4 2025) and $138.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Gentex | 4.58 Bn | 3.83 Bn | 241.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.14 Mn |
| Mar 31, 2026 | 164.09 Mn |
| Dec 31, 2025 | 134.76 Mn |
| Sep 30, 2025 | 138.28 Mn |
| Jun 30, 2025 | 128.33 Mn |
| Mar 31, 2025 | 103.73 Mn |
| Dec 31, 2024 | 84.38 Mn |
| Sep 30, 2024 | 100.56 Mn |
| Jun 30, 2024 | 98.73 Mn |
| Mar 31, 2024 | 112.67 Mn |
| Dec 31, 2023 | 87.21 Mn |
| Sep 30, 2023 | 103.05 Mn |
| Jun 30, 2023 | 107.61 Mn |
| Mar 31, 2023 | 130.11 Mn |
| Dec 31, 2022 | 98.81 Mn |
| Sep 30, 2022 | 93.73 Mn |
| Jun 30, 2022 | 99.55 Mn |
| Mar 31, 2022 | 98.34 Mn |
| Dec 31, 2021 | 83.31 Mn |
| Sep 30, 2021 | 91.91 Mn |
API Access
Gentex Accumulated 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=accumulated-expenses&ticker=GNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=GNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();