Gentherm (THRM) Total Non-Current Liabilities (2011 - 2026)
Gentherm's Total Non-Current Liabilities came in at $745.61 million for Q2 2026, up 16.3% from $640.97 million a year earlier and up 8.7% from the prior quarter.
Gentherm (THRM) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Gentherm's Total Non-Current Liabilities was $645.16 million, up 7.3% from FY2024.
- Total Non-Current Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $601.43 million in FY2024 (+6.2%), $566.55 million in FY2023 (+4.4%), $542.45 million in FY2022 (+96.6%) and $275.96 million in FY2021 (-35.6%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q2 2011.
- Year-over-year, Total Non-Current Liabilities has increased for 11 consecutive quarters, with growth averaging 9.7% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2022 (growth of 106.7%), and the weakest in Q4 2021 (a decline of 35.6%).
- Business Quant data shows THRM's Total Non-Current Liabilities at $686.08 million (Q1 2026), $645.16 million (Q4 2025) and $642.88 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Gentherm | 1.02 Bn | 316.83 Mn | 96.43 Mn | 745.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 745.61 Mn |
| Mar 31, 2026 | 686.08 Mn |
| Dec 31, 2025 | 645.16 Mn |
| Sep 30, 2025 | 642.88 Mn |
| Jun 30, 2025 | 640.97 Mn |
| Mar 31, 2025 | 669.80 Mn |
| Dec 31, 2024 | 601.43 Mn |
| Sep 30, 2024 | 612.29 Mn |
| Jun 30, 2024 | 572.93 Mn |
| Mar 31, 2024 | 581.16 Mn |
| Dec 31, 2023 | 566.55 Mn |
| Sep 30, 2023 | 539.22 Mn |
| Jun 30, 2023 | 546.39 Mn |
| Mar 31, 2023 | 562.50 Mn |
| Dec 31, 2022 | 542.45 Mn |
| Sep 30, 2022 | 580.09 Mn |
| Jun 30, 2022 | 299.06 Mn |
| Mar 31, 2022 | 306.29 Mn |
| Dec 31, 2021 | 275.96 Mn |
| Sep 30, 2021 | 280.70 Mn |
Gentherm 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=THRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "THRM", "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=THRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();