Simpson Manufacturing (SSD) Return on Sales [ROS] (2009 - 2026)
Simpson Manufacturing's Return on Sales [ROS] was 24.40% in Q2 2026, up 2.21 percentage points from 22.19% a year earlier and up 4.81 percentage points from the prior quarter.
Simpson Manufacturing (SSD) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Simpson Manufacturing's Return on Sales [ROS] was 19.79% through Jun 30, 2026, up 0.17 percentage points year-over-year; for FY2025, it was 19.64%, up 0.37 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -0.27 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 19.26% in FY2024 (-2.20 pp), 21.46% in FY2023 (-0.23 pp), 21.69% in FY2022 (-1.68 pp) and 23.38% in FY2021 (+3.48 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q2 2023.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of -0.19 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2021 (a gain of 9.76 percentage points); the worst was Q4 2022 (a drop of 6.09 percentage points).
- Per Business Quant data, SSD's Return on Sales [ROS] in the three quarters before Q2 2026 was 19.60% (Q1 2026), 13.58% (Q4 2025) and 20.36% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.08 Bn | 95.82 Bn | 2.26 Bn | 19.27% |
| 2 | Johnson Controls International | 91.92 Bn | 89.68 Bn | 2.47 Bn | 14.92% |
| 3 | Comfort Systems Usa | 59.34 Bn | 54.59 Bn | 844.23 Mn | 17.09% |
| 4 | Carrier Global | 45.52 Bn | 40.15 Bn | 1.94 Bn | 12.99% |
| 5 | Otis Worldwide | 24.55 Bn | 21.15 Bn | 1.14 Bn | 14.90% |
| 6 | James Hardie Industries | 14.62 Bn | 13.36 Bn | 548.70 Mn | 14.76% |
| 7 | Masco | 13.47 Bn | 11.57 Bn | 868.00 Mn | 23.59% |
| 8 | Allegion | 13.13 Bn | 11.84 Bn | 517.50 Mn | 22.12% |
| 9 | Carlisle Companies | 12.95 Bn | 9.29 Bn | 568.40 Mn | 22.45% |
| 10 | Simpson Manufacturing | 7.08 Bn | 5.61 Bn | 318.19 Mn | 24.40% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.40% |
| Mar 31, 2026 | 19.60% |
| Dec 31, 2025 | 13.58% |
| Sep 30, 2025 | 20.36% |
| Jun 30, 2025 | 22.19% |
| Mar 31, 2025 | 19.00% |
| Dec 31, 2024 | 15.01% |
| Sep 30, 2024 | 21.49% |
| Jun 30, 2024 | 22.37% |
| Mar 31, 2024 | 18.46% |
| Dec 31, 2023 | 14.36% |
| Sep 30, 2023 | 24.30% |
| Jun 30, 2023 | 24.55% |
| Mar 31, 2023 | 22.41% |
| Dec 31, 2022 | 17.10% |
| Sep 30, 2022 | 22.50% |
| Jun 30, 2022 | 23.41% |
| Mar 31, 2022 | 26.40% |
| Dec 31, 2021 | 23.19% |
| Sep 30, 2021 | 25.36% |
Simpson Manufacturing 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=SSD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SSD", "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=SSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();