Cabot Corporation (CBT) Fair Value & Analysis
Basic Materials · US · Market cap $4.3B
Analysis
Cabot Corporation (CBT) currently trades at $87.49, while our model-based Fair Value estimate is $100.26 — implying the stock looks roughly 14.6% undervalued today. We read business quality at 89/100 (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: medium) — always confirm before acting.
About the company
Cabot Corporation operates as a specialty chemicals and performance materials company. It operates through two segments, Reinforcement Materials and Performance Chemicals. The company offers reinforcing carbons that are used in tires as a rubber reinforcing agent and performance additive, as well as in industrial products, such as hoses, belts, extruded profiles, and molded goods; and engineered elastomer composites solutions. It also provides specialty carbons for use in inks, coatings, plastics, adhesives, toners, batteries, and displays; conductive additives and fumed alumina used in lead acid and lithium-ion batteries for electric vehicles; fumed silica used in adhesives, sealants, cosmetics, batteries, inks, toners, silicone elastomers, coatings, polishing slurries, and pharmaceuticals; and fumed alumina for use in various products, including inkjet media, lighting, coatings, cosmetics, and polishing slurries. In addition, it offers aerogel, a hydrophobic, silica-based particle…
Open the full interactive analysis →
Similar stocks
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.