Hawkins, Inc (HWKN) Fair Value & Analysis
Basic Materials · US · Market cap $3.2B
Analysis
Hawkins, Inc (HWKN) currently trades at $163.38, while our model-based Fair Value estimate is $66.43 — implying the stock looks roughly 59.3% overvalued today. We read business quality at 97/100 (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
Hawkins, Inc. operates as a water treatment and specialty ingredients company in the United States. The company operates through three segments: Water Treatment, Food and Health Sciences, and Industrial Solutions. The Water Treatment segment provides chemicals, filtration media and systems, equipment, services and solutions for potable water, municipal and industrial wastewater, industrial process water, non-residential swimming pool water, and agricultural water. This segment also sells and services equipment, including tanks, valves, and pumps. The Food and Health Sciences segment provide ingredient distribution, processing, and formulation solutions, such as base chemistry, acid-based reactions, minerals, vitamins and amino acids, excipients, botanicals and herbs, sweeteners and enzymes, fertilizers, and food-grade and pharmaceutical salts and ingredients to nutrition, food, pharmaceutical, and agricultural markets. The Industrial Solutions segment offers industrial chemicals, pr…
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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.