Smith Midland Corp (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 Corp (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
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 Corp 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();