Ashland Inc (ASH) Fair Value & Analysis
Basic Materials · US · Market cap $2.6B
Fair value as of: Jun 25, 2026
Analysis
Ashland Inc (ASH) currently trades at $63.44, while our model-based Fair Value estimate is $17.91 — implying the stock looks roughly 71.8% 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: low).
About the company
Ashland Inc. provides additives and specialty ingredients in the North and Latin America, Europe, Asia Pacific, and internationally. It operates through Life Sciences, Personal Care, Specialty Additives, and Intermediates segments. The Life Sciences segment offers pharmaceutical solutions, including controlled release polymers, disintegrants, tablet coatings, thickeners, solubilizers, and tablet binders; and nutrition solutions, such as thickeners, stabilizers, emulsifiers, and additives; agricultural chemicals; diagnostic films; and fine chemicals. Its Personal Care segment provides a range of natural, nature-derived, biodegradable, and performance ingredients; solutions for toothpastes, mouth washes and rinses, denture cleaning, and care for teeth; and household supplies nature-derived rheology ingredients, biodegradable surface wetting agents, performance encapsulates, and specialty polymers. The Specialty Additives segment offers rheology modifiers, foam control agents, surfacta…
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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.