Gentherm (THRM) Asset Writedowns and Impairment (2018 - 2026)
Gentherm's Asset Writedowns and Impairment was $1.66 million in Q3 2026, down 17.8% from $2.02 million a year earlier but up 40.3% from the prior quarter.
Gentherm (THRM) Asset Writedowns and Impairment (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gentherm's Asset Writedowns and Impairment was $5.67 million through Sep 30, 2026, down 49.3% year-over-year; for FY2025, it was $6.82 million, up 5.9% from FY2024.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of 31.0% (FY2020 to FY2025).
- In earlier years, Asset Writedowns and Impairment was $6.44 million in FY2024 (-67.0%), $19.51 million in FY2023 (+22.5%), $15.92 million in FY2022 (+537.2%) and $2.5 million in FY2021 (+41.3%).
- Quarterly Asset Writedowns and Impairment has moved between -$291,000 (Q3 2024) and $17.81 million (Q2 2023) over five years.
- Compared with a year earlier, Asset Writedowns and Impairment has declined for four straight quarters, with growth averaging 83.9% over the last six quarters.
- The best year-over-year quarter for Asset Writedowns and Impairment over five years was Q1 2025 (growth of 382.1%); the worst was Q2 2024 (a decline of 97.2%).
- Per Business Quant data, THRM's Asset Writedowns and Impairment in the three quarters before Q3 2026 was $1.18 million (Q2 2026), $1.24 million (Q1 2026) and $1.58 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn |
| 10 | Gentherm | 914.57 Mn | 111.07 Mn | 94.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.66 Mn |
| Jun 30, 2026 | 1.18 Mn |
| Mar 31, 2026 | 1.24 Mn |
| Dec 31, 2025 | 1.58 Mn |
| Sep 30, 2025 | 2.02 Mn |
| Jun 30, 2025 | 1.79 Mn |
| Mar 31, 2025 | 1.43 Mn |
| Dec 31, 2024 | 5.94 Mn |
| Sep 30, 2024 | -291,000.00 |
| Jun 30, 2024 | 497,000.00 |
| Mar 31, 2024 | 296,000.00 |
| Jun 30, 2023 | 17.81 Mn |
| Mar 31, 2023 | 1.70 Mn |
| Dec 31, 2022 | 11.63 Mn |
| Sep 30, 2022 | 2.49 Mn |
| Jun 30, 2022 | 1.06 Mn |
| Mar 31, 2022 | 747,000.00 |
| Sep 30, 2019 | 837,000.00 |
| Jun 30, 2019 | 9.89 Mn |
| Mar 31, 2019 | 10.48 Mn |
Gentherm Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=THRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=THRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();