Smith Midland (SMID) Return on Capital Employed [ROCE] (2009 - 2026)
Smith Midland (SMID) posted Return on Capital Employed [ROCE] of 13.83% for Q2 2026, down 27.99 percentage points from 41.82% a year earlier and down 5.70 percentage points from the prior quarter.
Smith Midland (SMID) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Smith Midland's Return on Capital Employed [ROCE] came in at 26.75%, up 6.82 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for three consecutive years, with a five-year change of +16.13 percentage points (FY2020 to FY2025).
- In prior years, Smith Midland's Return on Capital Employed [ROCE] was 19.93% in FY2024 (+17.26 pp), 2.67% in FY2023 (+0.67 pp), 2.01% in FY2022 (-15.13 pp) and 17.14% in FY2021 (+6.52 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] since Q1 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in three of the last five quarters, with an average year-over-year change of +1.37 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2025, with a gain of 15.85 percentage points; the weakest was Q2 2026, with a drop of 27.99 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 19.53% (Q1 2026), 23.52% (Q4 2025) and 63.19% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 25.76% |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | - |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | -4.09% |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 30.59% |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 73.03% |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 6.26% |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 36.93% |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 20.57% |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 19.33% |
| 10 | Smith Midland | 114.15 Mn | 65.01 Mn | 5.42 Mn | 13.83% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.83% |
| Mar 31, 2026 | 19.53% |
| Dec 31, 2025 | 23.52% |
| Sep 30, 2025 | 63.19% |
| Jun 30, 2025 | 41.82% |
| Mar 31, 2025 | 18.69% |
| Dec 31, 2024 | 13.82% |
| Sep 30, 2024 | 11.19% |
| Jun 30, 2024 | 7.17% |
| Mar 31, 2024 | 5.63% |
| Dec 31, 2023 | 2.57% |
| Sep 30, 2023 | 1.14% |
| Jun 30, 2023 | -2.31% |
| Mar 31, 2023 | 2.56% |
| Dec 31, 2022 | 1.98% |
| Sep 30, 2022 | 1.71% |
| Jun 30, 2022 | 4.54% |
| Mar 31, 2022 | 5.44% |
| Dec 31, 2021 | 15.29% |
| Sep 30, 2021 | 18.33% |
Smith Midland Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=SMID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();