Gentex (GNTX) Total Non-Current Liabilities (2018 - 2026)
Gentex (GNTX) recorded Total Non-Current Liabilities of $408.86 million in Q2 2026, up 20.5% from $339.42 million a year earlier but down 8.8% from the prior quarter.
Gentex (GNTX) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Gentex reported Total Non-Current Liabilities of $391.55 million, up 55.0% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $252.69 million in FY2024 (-7.0%), $271.61 million in FY2023 (+8.4%), $250.55 million in FY2022 (+37.9%) and $181.66 million in FY2021 (-16.2%).
- Quarterly Total Non-Current Liabilities has ranged from $181.66 million in Q4 2021 to $448.54 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 22.4% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 68.2% in Q1 2026, against a decline of 25.4% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $448.54 million (Q1 2026), $391.55 million (Q4 2025) and $398.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,252.23 Bn | 1,078.26 Bn | 4.75 Bn | 47.48 Bn |
| 2 | Ferrari | 70.70 Bn | 63.19 Bn | 1.18 Bn | 5.53 Bn |
| 3 | General Motors | 67.17 Bn | -37.45 Bn | 9.28 Bn | 118.34 Bn |
| 4 | Ford Motor | 47.64 Bn | -94.85 Bn | 6.08 Bn | 219.21 Bn |
| 5 | Honda Motor | 45.88 Bn | -103.93 Bn | 8.46 Bn | 5.28 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 3.36 Bn |
| 7 | Magna International | 18.04 Bn | 12.06 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.29 Bn | -7.02 Bn | 179.00 Mn | 8.76 Bn |
| 9 | Stellantis | 12.12 Bn | -152.52 Bn | 5.55 Bn | 73.67 Bn |
| 10 | Gentex | 4.42 Bn | 3.67 Bn | 241.00 Mn | 408.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 408.86 Mn |
| Mar 31, 2026 | 448.54 Mn |
| Dec 31, 2025 | 391.55 Mn |
| Sep 30, 2025 | 398.44 Mn |
| Jun 30, 2025 | 339.42 Mn |
| Mar 31, 2025 | 266.63 Mn |
| Dec 31, 2024 | 252.69 Mn |
| Sep 30, 2024 | 283.16 Mn |
| Jun 30, 2024 | 304.73 Mn |
| Mar 31, 2024 | 304.41 Mn |
| Dec 31, 2023 | 271.61 Mn |
| Sep 30, 2023 | 274.41 Mn |
| Jun 30, 2023 | 276.06 Mn |
| Mar 31, 2023 | 297.03 Mn |
| Dec 31, 2022 | 250.55 Mn |
| Sep 30, 2022 | 265.16 Mn |
| Jun 30, 2022 | 286.17 Mn |
| Mar 31, 2022 | 239.22 Mn |
| Dec 31, 2021 | 181.66 Mn |
| Sep 30, 2021 | 210.12 Mn |
Gentex Total Non-Current 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-non-current-liabilities&ticker=GNTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=GNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();