Astec Industries, Inc (ASTE) Fair Value & Analysis
Industrials · US · Market cap $1.2B
Analysis
Astec Industries, Inc (ASTE) currently trades at $56.68, while our model-based Fair Value estimate is $20.85 — implying the stock looks roughly 63.2% 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
Astec Industries, Inc. designs, engineers, manufactures, markets, and services equipment and components used primarily in road building and related construction activities worldwide. The company operates in two segments, Infrastructure Solutions and Materials Solutions. The Infrastructure Solutions segment offers asphalt plants, cold central plant recycles systems, and soil remediation plants; concrete batch plants, liquid asphalt terminals, and thermal fluid heaters; asphalt pavers, material transfer vehicles, and milling machines; and industrial automation controls and telematics platforms, as well as engineering and environmental permitting, various plants components, polymer plants, heat recovery units, industrial and asphalt burners and systems, wood chippers and grinders, and blower trucks and trailers,. The Materials Solutions segment offers jaw, cone, heavy-duty, and mining-application crushers; horizontal and vertical shaft impactors; incline, multi-frequency and high frequ…
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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.