A. Schulman, Inc (SLMNP) Fair Value & Analysis
Basic Materials · US · Market cap $25.2B
Analysis
A. Schulman, Inc (SLMNP) currently trades at $860.00, while our model-based Fair Value estimate is $203.64 — implying the stock looks roughly 76.3% overvalued today. We read business quality at 89/100 (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: medium).
About the company
A. Schulman, Inc. manufactures and supplies plastic compounds and resins. It offers custom performance colors, including standard and customized colors, organic and inorganic pigments, high chroma colors in translucent or opaque formats, and special effects. The company also provides engineered composites, such as bulk molding compounds, sheet molding compounds, and thick molding compounds, as well as engineered structural composite solutions for original equipment manufacturers and custom molders. In addition, it offers concentrates to enhance the performance, appearance, and processing of plastics for intended applications; additive solutions; and application solutions that minimize the use of plastics or incorporate the use of recycled plastics or renewable-based polymers, as well as provides films for agriculture, packaging, and personal care and hygiene applications. Further, the company offers polymer solutions, which provide structural integrity; multi-component blends that i…
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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.