Gentherm (THRM) Total Liabilities (2009 - 2026)
Gentherm (THRM) recorded Total Liabilities of $840.98 million in Q3 2026, up 26.8% from $663.39 million a year earlier and up 9.2% from the prior quarter.
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Analysis
Gentherm (THRM) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Gentherm reported Total Liabilities of $676.11 million, up 7.2% from FY2024.
- Annual Total Liabilities has increased for four straight years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $630.61 million in FY2024 (+6.9%), $589.65 million in FY2023 (+4.0%), $567.03 million in FY2022 (+101.4%) and $281.54 million in FY2021 (-35.5%).
- The Q3 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Liabilities has increased for 12 consecutive quarters, with growth averaging 11.1% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 114.0% in Q3 2022, against a decline of 35.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $770.09 million (Q2 2026), $713.82 million (Q1 2026) and $676.11 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 21.06 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Gentherm | 914.57 Mn | 111.07 Mn | 94.30 Mn | 840.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 840.98 Mn |
| Jun 30, 2026 | 770.09 Mn |
| Mar 31, 2026 | 713.82 Mn |
| Dec 31, 2025 | 676.11 Mn |
| Sep 30, 2025 | 663.39 Mn |
| Jun 30, 2025 | 661.66 Mn |
| Mar 31, 2025 | 697.72 Mn |
| Dec 31, 2024 | 630.61 Mn |
| Sep 30, 2024 | 637.47 Mn |
| Jun 30, 2024 | 600.25 Mn |
| Mar 31, 2024 | 605.65 Mn |
| Dec 31, 2023 | 589.65 Mn |
| Sep 30, 2023 | 565.55 Mn |
| Jun 30, 2023 | 573.49 Mn |
| Mar 31, 2023 | 588.43 Mn |
| Dec 31, 2022 | 567.03 Mn |
| Sep 30, 2022 | 617.24 Mn |
| Jun 30, 2022 | 303.85 Mn |
| Mar 31, 2022 | 311.33 Mn |
| Dec 31, 2021 | 281.54 Mn |
API Access
Gentherm 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=THRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=THRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();