Gentherm (THRM) Return on Sales [ROS] (2009 - 2026)
Gentherm's Return on Sales [ROS] came in at 3.55% for Q3 2026, down 2.62 percentage points from 6.17% a year earlier but up 0.98 percentage points from the prior quarter.
Gentherm (THRM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Gentherm reported Return on Sales [ROS] of 3.39%, down 2.64 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 five-year range for quarterly Return on Sales [ROS] is 1.04% (Q4 2022) to 8.81% (Q4 2021).
- Year-over-year, Return on Sales [ROS] has declined for eight consecutive quarters, with an average year-over-year change of -2.20 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 2.57% (Q2 2026), 2.87% (Q1 2026) and 4.64% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 25.88% |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 22.81% |
| 10 | Gentherm | 914.57 Mn | 111.07 Mn | 94.30 Mn | 3.55% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.55% |
| 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% |
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();