Smith Midland (SMID) Return on Sales [ROS] (2011 - 2026)
Smith Midland (SMID) reported Return on Sales [ROS] of 8.50% for Q2 2026, down 12.58 percentage points from 21.07% a year earlier but up 0.49 percentage points from the prior quarter.
Powered by 
Analysis
Smith Midland (SMID) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Smith Midland's Return on Sales [ROS] came in at 12.07%, down 5.10 percentage points year-over-year; for FY2025, it was 18.19%, up 5.58 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +9.62 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 12.61% in FY2024 (+10.73 pp), 1.88% in FY2023 (+0.17 pp), 1.70% in FY2022 (-10.48 pp) and 12.18% in FY2021 (+3.61 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -6.67% in Q2 2023 and a high of 21.07% in Q2 2025.
- Year over year, Return on Sales [ROS] gained in five of the last seven quarters, with an average year-over-year change of +0.78 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2025 (a gain of 10.32 percentage points); the low point was Q1 2022 (a drop of 26.64 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 8.01% (Q1 2026), 14.00% (Q4 2025) and 17.97% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 19.27% |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 14.92% |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 17.09% |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 12.99% |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 14.90% |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 14.76% |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 23.59% |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 22.12% |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 22.45% |
| 10 | Smith Midland | 117.76 Mn | 68.62 Mn | 5.42 Mn | 8.50% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.50% |
| Mar 31, 2026 | 8.01% |
| Dec 31, 2025 | 14.00% |
| Sep 30, 2025 | 17.97% |
| Jun 30, 2025 | 21.07% |
| Mar 31, 2025 | 19.33% |
| Dec 31, 2024 | 10.08% |
| Sep 30, 2024 | 16.32% |
| Mar 31, 2024 | 9.01% |
| Dec 31, 2023 | 3.31% |
| Sep 30, 2023 | 9.60% |
| Jun 30, 2023 | -6.67% |
| Mar 31, 2023 | 0.42% |
| Dec 31, 2022 | -0.51% |
| Sep 30, 2022 | 0.03% |
| Jun 30, 2022 | 8.27% |
| Mar 31, 2022 | -1.66% |
| Dec 31, 2021 | -1.79% |
| Sep 30, 2021 | 9.68% |
| Jun 30, 2021 | 10.38% |
API Access
Smith Midland 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=SMID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SMID", "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=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();