Smith Midland (SMID) EBITDA (2009 - 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.
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Analysis
Smith Midland (SMID) EBITDA (2009 - 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 | 92.12 Bn | 86.76 Bn | 2.38 Bn | 1.45 Bn |
| 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 | -1.95 Bn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 672.34 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 661.00 Mn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 425.90 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | - |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 320.70 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 342.00 Mn |
| 10 | Smith Midland | 114.15 Mn | 65.01 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();