Gentherm (THRM) Cost of Revenue (2010 - 2026)
Gentherm (THRM) posted Cost of Revenue of $319.74 million for Q2 2026, up 12.1% from $285.33 million a year earlier and up 7.8% from the prior quarter.
Gentherm (THRM) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Gentherm was $1.2 billion, up 9.5% year-over-year; for FY2025, it was $1.14 billion, up 4.3% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- In prior years, Gentherm's Cost of Revenue was $1.09 billion in FY2024 (-2.5%), $1.12 billion in FY2023 (+20.0%), $931.01 million in FY2022 (+25.4%) and $742.52 million in FY2021 (+15.1%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue in data going back to Q2 2010.
- On a year-over-year basis, Cost of Revenue has increased in each of the last five quarters, with growth averaging 4.7% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2022, with growth of 51.2%; the weakest was Q4 2021, with a decline of 7.8%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $296.48 million (Q1 2026), $291.99 million (Q4 2025) and $291.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Gentherm | 961.07 Mn | 255.42 Mn | 96.43 Mn | 319.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 319.74 Mn |
| Mar 31, 2026 | 296.48 Mn |
| Dec 31, 2025 | 291.99 Mn |
| Sep 30, 2025 | 291.72 Mn |
| Jun 30, 2025 | 285.33 Mn |
| Mar 31, 2025 | 267.39 Mn |
| Dec 31, 2024 | 266.81 Mn |
| Sep 30, 2024 | 276.64 Mn |
| Jun 30, 2024 | 278.98 Mn |
| Mar 31, 2024 | 267.26 Mn |
| Dec 31, 2023 | 270.64 Mn |
| Sep 30, 2023 | 279.99 Mn |
| Jun 30, 2023 | 284.34 Mn |
| Mar 31, 2023 | 282.50 Mn |
| Dec 31, 2022 | 273.51 Mn |
| Sep 30, 2022 | 252.61 Mn |
| Jun 30, 2022 | 201.34 Mn |
| Mar 31, 2022 | 203.54 Mn |
| Dec 31, 2021 | 180.86 Mn |
| Sep 30, 2021 | 174.00 Mn |
Gentherm Cost of Revenue 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=cost-of-revenue&ticker=THRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=THRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();