Smith Midland (SMID) Enterprise Value (2010 - 2026)
Smith Midland's Enterprise Value came in at $143.24 million for Q2 2026, down 16.2% from $170.92 million a year earlier and down 10.1% from the prior quarter.
Powered by 
Analysis
Smith Midland (SMID) Enterprise Value (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Smith Midland reported Enterprise Value of $104.76 million, down 27.9% year-over-year; for FY2025, it came in at $180.96 million, down 20.7% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of 35.8% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $228.29 million in FY2024 (+13.9%), $200.52 million in FY2023 (+98.5%), $101.03 million in FY2022 (-56.5%) and $232.3 million in FY2021 (+493.1%).
- The Q2 2026 figure represents the lowest quarterly Enterprise Value since Q3 2023.
- Year-over-year, Enterprise Value increased in four of the last eight quarters, with growth averaging 3.3%.
- The fastest year-over-year change in Enterprise Value over five years came in Q4 2021 (growth of 493.1%), and the weakest in Q4 2022 (a decline of 56.5%).
- Business Quant data shows SMID's Enterprise Value at $159.4 million (Q1 2026), $180.96 million (Q4 2025) and $182.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 103.79 Bn | 98.51 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 91.69 Bn | 89.42 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.71 Bn | 44.97 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.47 Bn | 40.78 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.57 Bn | 23.99 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.29 Bn | 14.36 Bn | 548.70 Mn |
| 7 | Masco | 14.80 Bn | 12.66 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.67 Bn | 10.02 Bn | 568.40 Mn |
| 9 | Allegion | 13.43 Bn | 12.14 Bn | 517.50 Mn |
| 10 | Smith Midland | 112.46 Mn | 63.31 Mn | 5.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 143.24 Mn |
| Mar 31, 2026 | 159.40 Mn |
| Dec 31, 2025 | 180.96 Mn |
| Sep 30, 2025 | 182.36 Mn |
| Jun 30, 2025 | 170.92 Mn |
| Mar 31, 2025 | 155.81 Mn |
| Dec 31, 2024 | 228.29 Mn |
| Sep 30, 2024 | 168.11 Mn |
| Jun 30, 2024 | 139.60 Mn |
| Mar 31, 2024 | 242.60 Mn |
| Dec 31, 2023 | 200.52 Mn |
| Sep 30, 2023 | 94.09 Mn |
| Jun 30, 2023 | 118.90 Mn |
| Mar 31, 2023 | 94.67 Mn |
| Dec 31, 2022 | 101.03 Mn |
| Sep 30, 2022 | 129.11 Mn |
| Jun 30, 2022 | 60.80 Mn |
| Mar 31, 2022 | 78.01 Mn |
| Dec 31, 2021 | 232.30 Mn |
| Sep 30, 2021 | 55.92 Mn |
API Access
Smith Midland Enterprise Value 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=enterprise-value&ticker=SMID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SMID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();