Gentherm (THRM) Long-Term Debt Repayments (2015 - 2026)
Gentherm's Long-Term Debt Repayments came in at $36.04 million for Q2 2026, down 32.1% from $53.04 million a year earlier but up 2.9% from the prior quarter.
Gentherm (THRM) Long-Term Debt Repayments (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gentherm reported Long-Term Debt Repayments of $151.15 million, up 53.8% year-over-year; for FY2025, it came in at $143.15 million, up 102.7% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $70.62 million in FY2024 (-2.3%), $72.28 million in FY2023 (+444.6%), $13.27 million in FY2022 (-91.3%) and $153.24 million in FY2021 (+67.6%).
- The five-year range for quarterly Long-Term Debt Repayments is $564,000 (Q1 2023) to $53.04 million (Q2 2025).
- Year-over-year, Long-Term Debt Repayments increased in five of the last eight quarters, with growth averaging 74.6%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q1 2026 (growth of 249.1%), and the weakest in Q4 2021 (a decline of 66.7%).
- Business Quant data shows THRM's Long-Term Debt Repayments at $35.04 million (Q1 2026), $40.04 million (Q4 2025) and $40.04 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 322.39 Bn | 294.09 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 180.52 Bn | 175.11 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 169.65 Bn | 137.75 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 142.36 Bn | 139.55 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 113.17 Bn | 111.30 Bn | 2.25 Bn | 10.00 Mn |
| 6 | 3M | 90.23 Bn | 71.68 Bn | 2.78 Bn | 650.00 Mn |
| 7 | Emerson Electric | 87.50 Bn | 80.24 Bn | 2.66 Bn | 1.42 Bn |
| 8 | Illinois Tool Works | 78.92 Bn | 75.48 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 74.99 Bn | 65.61 Bn | 1.23 Bn | - |
| 10 | Gentherm | 797.51 Mn | 91.86 Mn | 96.43 Mn | 36.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.04 Mn |
| Mar 31, 2026 | 35.04 Mn |
| Dec 31, 2025 | 40.04 Mn |
| Sep 30, 2025 | 40.04 Mn |
| Jun 30, 2025 | 53.04 Mn |
| Mar 31, 2025 | 10.04 Mn |
| Dec 31, 2024 | 17.10 Mn |
| Sep 30, 2024 | 18.10 Mn |
| Jun 30, 2024 | 25.10 Mn |
| Mar 31, 2024 | 10.32 Mn |
| Dec 31, 2023 | 45.11 Mn |
| Sep 30, 2023 | 10.18 Mn |
| Jun 30, 2023 | 16.42 Mn |
| Mar 31, 2023 | 564,000.00 |
| Dec 31, 2022 | 1.71 Mn |
| Sep 30, 2022 | 10.31 Mn |
| Dec 31, 2021 | 1.25 Mn |
| Sep 30, 2021 | 8.26 Mn |
| Jun 30, 2021 | 13.73 Mn |
| Mar 31, 2021 | 130.00 Mn |
Gentherm Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=THRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=THRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();