Terex (TEX) Return on Sales [ROS] (2009 - 2026)
Terex's Return on Sales [ROS] was 8.36% in Q2 2026, down 0.32 percentage points from 8.68% a year earlier but up 13.08 percentage points from the prior quarter.
Powered by 
Analysis
Terex (TEX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Terex's Return on Sales [ROS] was 5.72% through Jun 30, 2026, down 1.49 percentage points year-over-year; for FY2025, it came in at 8.76%, down 1.50 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +6.54 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 10.26% in FY2024 (-2.10 pp), 12.36% in FY2023 (+2.86 pp), 9.51% in FY2022 (+1.07 pp) and 8.44% in FY2021 (+6.22 pp).
- Quarterly Return on Sales [ROS] has moved between -4.73% (Q1 2026) and 14.96% (Q2 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last eight quarters, with an average year-over-year change of -3.02 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2025 (a gain of 6.12 percentage points); the worst was Q1 2026 (a drop of 10.34 percentage points).
- Per Business Quant data, TEX's Return on Sales [ROS] in the three quarters before Q2 2026 was -4.73% (Q1 2026), 10.39% (Q4 2025) and 10.09% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 315.73 Bn | 287.43 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 182.70 Bn | 177.41 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 174.18 Bn | 182.94 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 142.17 Bn | 139.40 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 110.97 Bn | 109.10 Bn | 2.25 Bn | 23.86% |
| 6 | Emerson Electric | 90.14 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 7 | 3M | 89.64 Bn | 72.05 Bn | 2.78 Bn | 23.66% |
| 8 | Illinois Tool Works | 78.53 Bn | 75.09 Bn | 1.90 Bn | 26.67% |
| 9 | Vertiv Holdings | 74.79 Bn | 65.41 Bn | 1.23 Bn | 19.48% |
| 10 | Terex | 5.86 Bn | 3.78 Bn | 444.00 Mn | 8.36% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.36% |
| Mar 31, 2026 | -4.73% |
| Dec 31, 2025 | 10.39% |
| Sep 30, 2025 | 10.09% |
| Jun 30, 2025 | 8.68% |
| Mar 31, 2025 | 5.61% |
| Dec 31, 2024 | 4.27% |
| Sep 30, 2024 | 10.07% |
| Jun 30, 2024 | 13.97% |
| Mar 31, 2024 | 12.23% |
| Dec 31, 2023 | 9.48% |
| Sep 30, 2023 | 12.64% |
| Jun 30, 2023 | 14.96% |
| Mar 31, 2023 | 11.95% |
| Dec 31, 2022 | 9.92% |
| Sep 30, 2022 | 10.78% |
| Jun 30, 2022 | 9.65% |
| Mar 31, 2022 | 7.43% |
| Dec 31, 2021 | 7.05% |
| Sep 30, 2021 | 7.47% |
API Access
Terex 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=TEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TEX", "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=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();