Gentherm (THRM) Return on Sales [ROS] (2010 - 2026)
Gentherm's Return on Sales [ROS] came in at 2.57% for Q2 2026, down 3.83 percentage points from 6.40% a year earlier and down 0.30 percentage points from the prior quarter.
Gentherm (THRM) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gentherm reported Return on Sales [ROS] of 4.03%, down 2.65 percentage points year-over-year; for FY2025, it came in at 5.52%, down 1.83 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -4.25 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 7.35% in FY2024 (+2.08 pp), 5.27% in FY2023 (+1.26 pp), 4.01% in FY2022 (-6.98 pp) and 10.99% in FY2021 (+1.22 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q2 2023.
- Year-over-year, Return on Sales [ROS] has declined for seven consecutive quarters, with an average year-over-year change of -1.59 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2024 (a gain of 7.62 percentage points), and the weakest in Q2 2022 (a drop of 8.94 percentage points).
- Business Quant data shows THRM's Return on Sales [ROS] at 2.87% (Q1 2026), 4.64% (Q4 2025) and 6.17% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 26.67% |
| 10 | Gentherm | 1.03 Bn | 326.96 Mn | 96.43 Mn | 2.57% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.57% |
| Mar 31, 2026 | 2.87% |
| Dec 31, 2025 | 4.64% |
| Sep 30, 2025 | 6.17% |
| Jun 30, 2025 | 6.40% |
| Mar 31, 2025 | 4.82% |
| Dec 31, 2024 | 6.70% |
| Sep 30, 2024 | 8.70% |
| Jun 30, 2024 | 8.78% |
| Mar 31, 2024 | 5.07% |
| Dec 31, 2023 | 8.64% |
| Sep 30, 2023 | 6.48% |
| Jun 30, 2023 | 1.16% |
| Mar 31, 2023 | 4.86% |
| Dec 31, 2022 | 1.04% |
| Sep 30, 2022 | 6.85% |
| Jun 30, 2022 | 2.97% |
| Mar 31, 2022 | 5.30% |
| Dec 31, 2021 | 8.81% |
| Sep 30, 2021 | 8.51% |
Gentherm Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=THRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=THRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();