Ingevity Corporation (NGVT) Fair Value & Analysis
Basic Materials · US · Market cap $2.3B
Analysis
Ingevity Corporation (NGVT) currently trades at $72.66, while our model-based Fair Value estimate is $59.87 — implying the stock looks roughly 17.6% 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: high).
About the company
Ingevity Corporation manufactures and sells activated carbon products, derivative specialty chemicals, and engineered polymers in North America, the Asia Pacific, Europe, the Middle East, Africa, and South America. It operates through three segments: Performance Materials, Performance Chemicals, and Advanced Polymer Technologies. The Performance Materials segment engineers, manufactures, and sells hardwood-based and chemically activated carbon products for use in gasoline vapor emission control systems in cars, trucks, motorcycles, and boats. This segment also produces other activated carbon products for food, water, beverage, and chemical purification applications. The Performance Chemicals segment consists of road technologies and industrial specialties. This segment's products are used in pavement construction, pavement preservation, pavement reconstruction and recycling, road markings, agrochemical dispersants, lubricants, certain adhesives, rubber, and other industrial uses. 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.