Art's-Way Manufacturing Co (ARTW) Fair Value & Analysis
Industrials · US · Market cap $13.5M
Fair value as of: Jun 24, 2026
Analysis
Art's-Way Manufacturing Co (ARTW) currently trades at $2.58, while our model-based Fair Value estimate is $2.23 — implying the stock looks roughly 13.6% 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: medium).
About the company
Art's-Way Manufacturing Co., Inc. manufactures and sells agricultural equipment, and specialized modular science and agricultural buildings in the United States and internationally. It operates through two segments, Agricultural Products and Modular Buildings. The Agricultural Products segment offers various specialized farm machinery, including portable and stationary animal feed processing equipment and related attachments; forage equipment, such as forage boxes, bale processors, running gears, and dump boxes; manure spreaders; sugar beet harvesting equipment; dirt work equipment; and after-market service parts. Its Modular Buildings segment produces, sells, and leases swine buildings, complex containment research laboratories, and research facilities for academic research institutions, government research and diagnostic centers, public health institutions, and private research and pharmaceutical companies. This segment also designs, manufactures, delivers, installs, and rents bui…
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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.