Gentherm (THRM) Total Current Liabilities (2010 - 2026)
Gentherm (THRM) reported Total Current Liabilities of $426.28 million for Q2 2026, up 13.1% from $376.93 million a year earlier and up 1.9% from the prior quarter.
Gentherm (THRM) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Gentherm posted Total Current Liabilities of $404.31 million, up 18.8% from FY2024.
- Total Current Liabilities has increased for six consecutive years, with a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $340.29 million in FY2024 (+4.7%), $324.95 million in FY2023 (+13.8%), $285.63 million in FY2022 (+34.0%) and $213.09 million in FY2021 (+3.4%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to Q4 2010.
- Year over year, Total Current Liabilities has now increased in each of the last 11 quarters, with growth averaging 12.9% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2022 (growth of 48.7%); the low point was Q3 2023 (a decline of 2.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $418.43 million (Q1 2026), $404.31 million (Q4 2025) and $400.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Gentherm | 1.02 Bn | 316.83 Mn | 96.43 Mn | 426.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 426.28 Mn |
| Mar 31, 2026 | 418.43 Mn |
| Dec 31, 2025 | 404.31 Mn |
| Sep 30, 2025 | 400.33 Mn |
| Jun 30, 2025 | 376.93 Mn |
| Mar 31, 2025 | 353.23 Mn |
| Dec 31, 2024 | 340.29 Mn |
| Sep 30, 2024 | 365.45 Mn |
| Jun 30, 2024 | 326.12 Mn |
| Mar 31, 2024 | 333.10 Mn |
| Dec 31, 2023 | 324.95 Mn |
| Sep 30, 2023 | 312.30 Mn |
| Jun 30, 2023 | 307.62 Mn |
| Mar 31, 2023 | 306.87 Mn |
| Dec 31, 2022 | 285.63 Mn |
| Sep 30, 2022 | 320.22 Mn |
| Jun 30, 2022 | 239.22 Mn |
| Mar 31, 2022 | 243.70 Mn |
| Dec 31, 2021 | 213.09 Mn |
| Sep 30, 2021 | 215.35 Mn |
Gentherm Total 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-current-liabilities&ticker=THRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=THRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();