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Innospec Inc (IOSP) Fair Value & Analysis

Basic Materials · US · Market cap $2.0B

Price$81.84
Fair Value$73.37
Upside-10.3%
Quality95/100
Evidence: High Range $50.20 – $105.78

Analysis

Innospec Inc (IOSP) currently trades at $81.84, while our model-based Fair Value estimate is $73.37 — implying the stock looks roughly 10.3% 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

Innospec Inc. develops, manufactures, blends, markets, and supplies specialty chemicals in the Americas, Europe, the Middle East, Africa, and the Asia-Pacific. The company operates through three segments: Performance Chemicals, Fuel Specialties, and Oilfield Services. It offers specialty chemical products used as additives in diesel, jet, marine, fuel oil, and other fuels used in the operation of commercial trucking, marine and aviation engines, power station generators, heating oil, and other industrial machinery applications. It also provides technology-based solutions for customers' processes or products in personal care, home care, agrochemical, construction, mining, and other industrial markets. In addition, the company develops and markets chemical solutions for drilling, completion, production, drag reducing agents, and oil and gas applications. It serves large multinational companies, manufacturers of personal and home care products and global mining, agriculture and buildin…

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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.