Smith-Midland Corporation (SMID) Fair Value & Analysis
Basic Materials · US · Market cap $154M
Fair value as of: Jun 24, 2026
Analysis
Smith-Midland Corporation (SMID) currently trades at $30.18, while our model-based Fair Value estimate is $22.02 — implying the stock looks roughly 27.0% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Smith-Midland Corporation invents, develops, manufactures, markets, leases, licenses, sells, and installs various precast concrete products and systems. The company offers SlenderWall lightweight construction panel, a lightweight exterior cladding used for the exterior walls of buildings; Sierra Wall that provides sound and sight barrier for use alongside highways around residential, industrial, and commercial properties; J-J Hooks highway safety barriers, which are used on roadways to separate lanes of traffic in construction work zone or traffic control purposes; and Easi-Set precast building and Easi-Span expandable precast buildings for use in housing communications operations, traffic control systems, and mechanical and electrical stations. It also provides Easi-Set utility vaults used to house equipment, such as cable, telephone, or traffic signal equipment, and for underground storage, as well as manufactures custom-built utility vaults for special needs; SoftSound soundwall …
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.