Smith Midland (SMID) EBITDA Margin (2009 - 2026)
Smith Midland's EBITDA Margin was 12.93% in Q2 2026, down 10.56 percentage points from 23.48% a year earlier but up 0.51 percentage points from the prior quarter.
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Analysis
Smith Midland (SMID) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Smith Midland's EBITDA Margin was 16.06% through Jun 30, 2026, down 5.46 percentage points year-over-year; for FY2025, it was 21.28%, up 5.27 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +7.21 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 16.00% in FY2024 (+10.10 pp), 5.90% in FY2023 (-1.55 pp), 7.45% in FY2022 (-10.00 pp) and 17.45% in FY2021 (+3.38 pp).
- Quarterly EBITDA Margin has moved between -2.71% (Q2 2023) and 24.78% (Q3 2024) over five years.
- Compared with a year earlier, EBITDA Margin was higher in four of the last seven quarters, with an average year-over-year change of +1.07 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was Q3 2024 (a gain of 11.22 percentage points); the worst was Q1 2022 (a drop of 24.15 percentage points).
- Per Business Quant data, SMID's EBITDA Margin in the three quarters before Q2 2026 was 12.42% (Q1 2026), 18.20% (Q4 2025) and 20.82% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 21.42% |
| 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 | -31.12% |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 17.85% |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 16.89% |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 29.82% |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | - |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 27.35% |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 23.37% |
| 10 | Smith Midland | 114.15 Mn | 65.01 Mn | 5.42 Mn | 12.93% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.93% |
| Mar 31, 2026 | 12.42% |
| Dec 31, 2025 | 18.20% |
| Sep 30, 2025 | 20.82% |
| Jun 30, 2025 | 23.48% |
| Mar 31, 2025 | 22.28% |
| Dec 31, 2024 | 13.69% |
| Sep 30, 2024 | 24.78% |
| Mar 31, 2024 | 12.83% |
| Dec 31, 2023 | 6.99% |
| Sep 30, 2023 | 13.55% |
| Jun 30, 2023 | -2.71% |
| Mar 31, 2023 | 5.05% |
| Dec 31, 2022 | 4.69% |
| Sep 30, 2022 | 6.11% |
| Jun 30, 2022 | 13.53% |
| Mar 31, 2022 | 5.08% |
| Dec 31, 2021 | 5.15% |
| Sep 30, 2021 | 14.70% |
| Jun 30, 2021 | 15.84% |
API Access
Smith Midland EBITDA Margin 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=ebitda-margin&ticker=SMID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();