Gentherm (THRM) Operating Expenses (2010 - 2026)
Gentherm (THRM) posted Operating Expenses of $85.74 million for Q2 2026, up 30.4% from $65.75 million a year earlier but down 0.2% from the prior quarter.
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Analysis
Gentherm (THRM) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Gentherm was $316 million, up 21.5% year-over-year; for FY2025, it came in at $279.48 million, up 7.7% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- In prior years, Gentherm's Operating Expenses was $259.42 million in FY2024 (-5.4%), $274.19 million in FY2023 (+21.7%), $225.34 million in FY2022 (+19.5%) and $188.63 million in FY2021 (+5.4%).
- Quarterly Operating Expenses has run from a low of $45.48 million in Q4 2021 to a high of $85.94 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 10.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2023, with growth of 62.0%; the weakest was Q2 2024, with a decline of 23.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $85.94 million (Q1 2026), $73.03 million (Q4 2025) and $71.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 5.03 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 490.50 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | - |
| 10 | Gentherm | 869.85 Mn | 164.19 Mn | 96.43 Mn | 85.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.74 Mn |
| Mar 31, 2026 | 85.94 Mn |
| Dec 31, 2025 | 73.03 Mn |
| Sep 30, 2025 | 71.29 Mn |
| Jun 30, 2025 | 65.75 Mn |
| Mar 31, 2025 | 69.40 Mn |
| Dec 31, 2024 | 62.46 Mn |
| Sep 30, 2024 | 62.54 Mn |
| Jun 30, 2024 | 63.71 Mn |
| Mar 31, 2024 | 70.70 Mn |
| Dec 31, 2023 | 64.59 Mn |
| Sep 30, 2023 | 62.47 Mn |
| Jun 30, 2023 | 83.67 Mn |
| Mar 31, 2023 | 63.46 Mn |
| Dec 31, 2022 | 66.25 Mn |
| Sep 30, 2022 | 57.53 Mn |
| Jun 30, 2022 | 51.64 Mn |
| Mar 31, 2022 | 49.92 Mn |
| Dec 31, 2021 | 45.48 Mn |
| Sep 30, 2021 | 48.68 Mn |
API Access
Gentherm Operating Expenses 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=operating-expenses&ticker=THRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=THRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();