Smith Midland (SMID) EV to EBITDA (2011 - 2026)
Smith Midland's (SMID) EV to EBITDA came in at 9.97 for Q2 2026, up 14.2% from 8.73 a year earlier and up 9.4% from the prior quarter.
Smith Midland (SMID) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Smith Midland was 7.29, down 1.8% year-over-year; for FY2025, it was 9.10, down 49.9% from FY2024.
- In prior years, Smith Midland's EV to EBITDA was 18.17 in FY2024 (-68.1%), 57.01 in FY2023 (+110.8%), 27.05 in FY2022 (+2.9%) and 26.28 in FY2021 (+314.1%).
- Quarterly EV to EBITDA has run from a low of 5.52 in Q3 2021 to a high of 71.63 in Q2 2023 over five years.
- On a year-over-year basis, EV to EBITDA increased in 1 of the last seven quarters, with an average decline of 39.7%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was Q3 2022, with growth of 554.7%; the weakest was Q1 2025, with a decline of 79.3%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 9.11 (Q1 2026), 9.10 (Q4 2025) and 10.01 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 104.14 Bn | 98.86 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 91.59 Bn | 89.32 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.30 Bn | 44.56 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.68 Bn | 40.99 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.65 Bn | 24.06 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.30 Bn | 14.37 Bn | 548.70 Mn |
| 7 | Masco | 14.84 Bn | 12.70 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.70 Bn | 10.04 Bn | 568.40 Mn |
| 9 | Allegion | 13.58 Bn | 12.29 Bn | 517.50 Mn |
| 10 | Smith Midland | 112.88 Mn | 63.74 Mn | 5.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.97 |
| Mar 31, 2026 | 9.11 |
| Dec 31, 2025 | 9.10 |
| Sep 30, 2025 | 10.01 |
| Jun 30, 2025 | 8.73 |
| Mar 31, 2025 | 10.00 |
| Dec 31, 2024 | 19.55 |
| Sep 30, 2024 | 14.93 |
| Mar 31, 2024 | 48.35 |
| Dec 31, 2023 | 57.03 |
| Sep 30, 2023 | 30.85 |
| Jun 30, 2023 | 71.63 |
| Mar 31, 2023 | 24.58 |
| Dec 31, 2022 | 27.06 |
| Sep 30, 2022 | 36.17 |
| Jun 30, 2022 | 12.76 |
| Mar 31, 2022 | 15.85 |
| Dec 31, 2021 | 26.28 |
| Sep 30, 2021 | 5.52 |
| Jun 30, 2021 | 9.98 |
Smith Midland EV to 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=ev-to-ebitda&ticker=SMID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();