Gentherm (THRM) EBITDA (2009 - 2026)
Gentherm (THRM) reported EBITDA of $29.82 million for Q3 2026, down 19.9% from $37.25 million a year earlier but up 18.3% from the prior quarter.
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Analysis
Gentherm (THRM) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Gentherm's EBITDA came in at $112.21 million, down 20.4% year-over-year; for FY2025, it came in at $136.08 million, down 14.9% from FY2024.
- EBITDA has a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- By year, EBITDA came in at $159.99 million in FY2024 (+24.6%), $128.39 million in FY2023 (+38.5%), $92.7 million in FY2022 (-39.7%) and $153.79 million in FY2021 (+18.0%).
- Five-year quarterly EBITDA spans a low of $16.8 million in Q2 2022 and a high of $45.9 million in Q2 2024.
- Year over year, EBITDA has now declined in each of the last eight quarters, with an average decline of 17.6% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q2 2024 (growth of 172.2%); the low point was Q2 2022 (a decline of 59.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $25.21 million (Q2 2026), $25.51 million (Q1 2026) and $31.67 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 4.83 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 3.37 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 2.05 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.48 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 1.89 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.72 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 1.28 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 1.09 Bn |
| 10 | Gentherm | 914.57 Mn | 111.07 Mn | 94.30 Mn | 29.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 29.82 Mn |
| Jun 30, 2026 | 25.21 Mn |
| Mar 31, 2026 | 25.51 Mn |
| Dec 31, 2025 | 31.67 Mn |
| Sep 30, 2025 | 37.25 Mn |
| Jun 30, 2025 | 37.17 Mn |
| Mar 31, 2025 | 29.99 Mn |
| Dec 31, 2024 | 36.53 Mn |
| Sep 30, 2024 | 45.69 Mn |
| Jun 30, 2024 | 45.90 Mn |
| Mar 31, 2024 | 31.87 Mn |
| Dec 31, 2023 | 44.12 Mn |
| Sep 30, 2023 | 36.20 Mn |
| Jun 30, 2023 | 16.87 Mn |
| Mar 31, 2023 | 31.26 Mn |
| Dec 31, 2022 | 17.48 Mn |
| Sep 30, 2022 | 34.66 Mn |
| Jun 30, 2022 | 16.80 Mn |
| Mar 31, 2022 | 23.77 Mn |
| Dec 31, 2021 | 31.23 Mn |
API Access
Gentherm EBITDA 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=ebitda&ticker=THRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=THRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();