Construction Partners, Inc (ROAD) Fair Value & Analysis
Industrials · US · Market cap $6.4B
Analysis
Construction Partners, Inc (ROAD) currently trades at $123.05, while our model-based Fair Value estimate is $44.54 — implying the stock looks roughly 63.8% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Construction Partners, Inc., a civil infrastructure company, constructs and maintains roadways in Alabama, Florida, Georgia, North Carolina, Oklahoma, South Carolina, Tennessee, and Texas. The company provides various products and services to public and private infrastructure projects, such as highways, roads, bridges, airports, and commercial and residential developments. It also engages in manufacturing and distributing hot mix asphalt (HMA) for internal use and sales to third parties in connection with construction projects; and paving activities, including the construction of roadway base layers and application of asphalt pavement. In addition, the company is involved in site development, including the installation of utility and drainage systems; mining aggregates, such as sand, gravel, and construction stones that are used as raw materials in the production of HMA; and distributing liquid asphalt cement for internal use and sales to third parties in connection with HMA product…
Open the full interactive analysis →
Similar stocks
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.