Gentex (GNTX) Selling, General & Administrative (2009 - 2026)
Gentex (GNTX) recorded Selling, General & Administrative of $50.04 million in Q2 2026, up 3.1% from $48.52 million a year earlier and up 0.5% from the prior quarter.
Gentex (GNTX) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Gentex's Selling, General & Administrative came in at $199.25 million as of Jun 30, 2026, up 43.3% year-over-year; for FY2025, it came in at $177.87 million, up 47.0% from FY2024.
- Annual Selling, General & Administrative has increased for 13 straight years, with a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $121.02 million in FY2024 (+7.5%), $112.54 million in FY2023 (+5.7%), $106.5 million in FY2022 (+15.6%) and $92.16 million in FY2021 (+2.5%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q2 2009.
- On a year-over-year basis, Selling, General & Administrative has increased for five consecutive quarters, with growth averaging 33.5% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 66.3% in Q1 2026, against a decline of 6.4% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $49.79 million (Q1 2026), $49.73 million (Q4 2025) and $49.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 1.98 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 8.63 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 218.61 Mn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | -3.60 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 2.20 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 2.68 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 549.00 Mn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 585.00 Mn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 2.89 Bn |
| 10 | Gentex | 4.65 Bn | 3.90 Bn | 241.00 Mn | 50.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.04 Mn |
| Mar 31, 2026 | 49.79 Mn |
| Dec 31, 2025 | 49.73 Mn |
| Sep 30, 2025 | 49.69 Mn |
| Jun 30, 2025 | 48.52 Mn |
| Mar 31, 2025 | 29.93 Mn |
| Dec 31, 2024 | 30.53 Mn |
| Sep 30, 2024 | 30.11 Mn |
| Jun 30, 2024 | 29.68 Mn |
| Mar 31, 2024 | 30.71 Mn |
| Dec 31, 2023 | 29.06 Mn |
| Sep 30, 2023 | 28.83 Mn |
| Jun 30, 2023 | 27.82 Mn |
| Mar 31, 2023 | 26.83 Mn |
| Dec 31, 2022 | 24.78 Mn |
| Sep 30, 2022 | 26.87 Mn |
| Jun 30, 2022 | 29.72 Mn |
| Mar 31, 2022 | 25.13 Mn |
| Dec 31, 2021 | 24.65 Mn |
| Sep 30, 2021 | 22.98 Mn |
Gentex Selling, General & Administrative 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=selling-general-and-administrative&ticker=GNTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();