Valhi, Inc (VHI) Fair Value & Analysis
Basic Materials · US · Market cap $381M
Fair value as of: Jun 25, 2026
Analysis
Valhi, Inc (VHI) currently trades at $13.47, while our model-based Fair Value estimate is $13.83 — implying the stock looks roughly 2.7% undervalued today. We read business quality at 80/100 (high quality), in the Basic Materials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Valhi, Inc. engages in the chemicals, component products, and real estate management and development businesses in Europe, North America, the Asia Pacific, and internationally. The Chemicals segment produces and markets titanium dioxide pigments (TiO2), which are white inorganic pigments used in various applications by paint, plastics, paper, fibers and ceramics, decorative laminate, and paper manufacturers. This segment also provides TiO2 under the KRONOS name through agents and distributors. The Component Products segment manufactures mechanical and electrical cabinet locks, and other locking mechanisms for use in mailboxes, ignition systems, file cabinets, desk drawers, tool storage cabinets, medical cabinetry security, integrated inventory and access control secured narcotics boxes, electronic circuit panels, storage compartments, gas station security, and vending and cash containment machine applications. This segment also provides stainless steel exhaust components, gauges, th…
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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.