Gentex (GNTX) Total Liabilities (2009 - 2026)
Gentex's Total Liabilities came in at $461.33 million for Q2 2026, up 20.4% from $383.18 million a year earlier but down 6.8% from the prior quarter.
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Analysis
Gentex (GNTX) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Gentex's Total Liabilities was $440.76 million, up 52.7% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $288.72 million in FY2024 (-3.4%), $298.92 million in FY2023 (+14.3%), $261.44 million in FY2022 (+35.2%) and $193.4 million in FY2021 (-17.3%).
- The five-year range for quarterly Total Liabilities is $193.4 million (Q4 2021) to $495.05 million (Q1 2026).
- Year-over-year, Total Liabilities has increased for five consecutive quarters, with growth averaging 23.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2026 (growth of 63.3%), and the weakest in Q3 2021 (a decline of 22.9%).
- Business Quant data shows GNTX's Total Liabilities at $495.05 million (Q1 2026), $440.76 million (Q4 2025) and $443.54 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 61.06 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 404.08 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 7.62 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 136.83 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 219.10 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 249.78 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 10.01 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 176.31 Bn |
| 10 | Gentex | 4.58 Bn | 3.83 Bn | 241.00 Mn | 461.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 461.33 Mn |
| Mar 31, 2026 | 495.05 Mn |
| Dec 31, 2025 | 440.76 Mn |
| Sep 30, 2025 | 443.54 Mn |
| Jun 30, 2025 | 383.18 Mn |
| Mar 31, 2025 | 303.13 Mn |
| Dec 31, 2024 | 288.72 Mn |
| Sep 30, 2024 | 317.67 Mn |
| Jun 30, 2024 | 337.99 Mn |
| Mar 31, 2024 | 336.85 Mn |
| Dec 31, 2023 | 298.92 Mn |
| Sep 30, 2023 | 289.87 Mn |
| Jun 30, 2023 | 291.16 Mn |
| Mar 31, 2023 | 310.09 Mn |
| Dec 31, 2022 | 261.44 Mn |
| Sep 30, 2022 | 277.28 Mn |
| Jun 30, 2022 | 297.88 Mn |
| Mar 31, 2022 | 251.41 Mn |
| Dec 31, 2021 | 193.40 Mn |
| Sep 30, 2021 | 228.80 Mn |
API Access
Gentex Total Liabilities 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=total-liabilities&ticker=GNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();