Smith Midland (SMID) EBITDA (2011 - 2026)
Smith Midland (SMID) posted EBITDA of $3.02 million for Q2 2026, down 50.9% from $6.15 million a year earlier but up 12.7% from the prior quarter.
Powered by 
Analysis
Smith Midland (SMID) EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Smith Midland was $14.37 million, down 26.6% year-over-year; for FY2025, it came in at $19.88 million, up 58.3% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 26.4% (FY2020 to FY2025).
- In prior years, Smith Midland's EBITDA was $12.56 million in FY2024 (+257.2%), $3.52 million in FY2023 (-5.8%), $3.74 million in FY2022 (-57.7%) and $8.84 million in FY2021 (+43.2%).
- Quarterly EBITDA has run from a low of -$399,000 in Q2 2023 to a high of $6.15 million in Q2 2025 over five years.
- On a year-over-year basis, EBITDA increased in four of the last seven quarters, with growth averaging 53.8%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2024, with growth of 231.8%; the weakest was Q1 2022, with a decline of 88.1%.
- According to Business Quant data, EBITDA for the three prior quarters was $2.68 million (Q1 2026), $4.21 million (Q4 2025) and $4.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 601.28 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 1.14 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 290.40 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 401.20 Mn |
| 10 | Smith Midland | 127.95 Mn | 78.81 Mn | 5.42 Mn | 3.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.02 Mn |
| Mar 31, 2026 | 2.68 Mn |
| Dec 31, 2025 | 4.21 Mn |
| Sep 30, 2025 | 4.47 Mn |
| Jun 30, 2025 | 6.15 Mn |
| Mar 31, 2025 | 5.06 Mn |
| Dec 31, 2024 | 2.54 Mn |
| Sep 30, 2024 | 5.84 Mn |
| Mar 31, 2024 | 2.15 Mn |
| Dec 31, 2023 | 1.15 Mn |
| Sep 30, 2023 | 2.12 Mn |
| Jun 30, 2023 | -399,000.00 |
| Mar 31, 2023 | 648,000.00 |
| Dec 31, 2022 | 680,000.00 |
| Sep 30, 2022 | 731,000.00 |
| Jun 30, 2022 | 1.79 Mn |
| Mar 31, 2022 | 530,000.00 |
| Dec 31, 2021 | 516,000.00 |
| Sep 30, 2021 | 1.93 Mn |
| Jun 30, 2021 | 1.95 Mn |
API Access
Smith Midland EBITDA 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&ticker=SMID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();