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