Gentherm (THRM) Non-Current Assets (2009 - 2026)
Gentherm's Non-Current Assets came in at $634.82 million for Q3 2026, up 6.6% from $595.44 million a year earlier and up 3.5% from the prior quarter.
Analysis
Gentherm (THRM) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Gentherm's Non-Current Assets was $619.48 million, up 9.9% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $563.54 million in FY2024 (+3.1%), $546.81 million in FY2023 (-1.6%), $555.43 million in FY2022 (+50.3%) and $369.5 million in FY2021 (-2.6%).
- The Q3 2026 figure represents the highest quarterly Non-Current Assets in data going back to Q4 2010.
- Year-over-year, Non-Current Assets has increased for ten consecutive quarters, with growth averaging 5.8% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2023 (growth of 52.8%), and the weakest in Q2 2022 (a decline of 5.5%).
- Business Quant data shows THRM's Non-Current Assets at $613.19 million (Q2 2026), $604.09 million (Q1 2026) and $619.48 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 49.01 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 27.54 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 41.42 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 33.23 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 22.81 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 32.30 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 9.90 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 6.05 Bn |
| 10 | Gentherm | 914.57 Mn | 111.07 Mn | 94.30 Mn | 634.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 634.82 Mn |
| Jun 30, 2026 | 613.19 Mn |
| Mar 31, 2026 | 604.09 Mn |
| Dec 31, 2025 | 619.48 Mn |
| Sep 30, 2025 | 595.44 Mn |
| Jun 30, 2025 | 602.59 Mn |
| Mar 31, 2025 | 580.20 Mn |
| Dec 31, 2024 | 563.54 Mn |
| Sep 30, 2024 | 561.23 Mn |
| Jun 30, 2024 | 550.87 Mn |
| Mar 31, 2024 | 552.28 Mn |
| Dec 31, 2023 | 546.81 Mn |
| Sep 30, 2023 | 524.97 Mn |
| Jun 30, 2023 | 534.50 Mn |
| Mar 31, 2023 | 557.25 Mn |
| Dec 31, 2022 | 555.43 Mn |
| Sep 30, 2022 | 535.36 Mn |
| Jun 30, 2022 | 354.32 Mn |
| Mar 31, 2022 | 364.64 Mn |
| Dec 31, 2021 | 369.50 Mn |
API Access
Gentherm Non-Current Assets 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=non-current-assets&ticker=THRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=THRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();