Lakeland Industries, Inc (LAKE) Fair Value & Analysis
Consumer Cyclical · US · Market cap $99.5M
Fair value as of: Jun 25, 2026
Analysis
Lakeland Industries, Inc (LAKE) currently trades at $10.97, while our model-based Fair Value estimate is $1.17 — implying the stock looks roughly 89.3% overvalued today. We read business quality at 97/100 (high quality), in the Consumer Cyclical 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: low).
About the company
Lakeland Industries, Inc., together with its subsidiaries, manufactures and sells industrial protective clothing and accessories for the industrial and first responder markets. It offers firefighter protective apparel and accessories; high-end chemical protective suits to provide protection from highly concentrated, toxic and/or lethal chemicals, and biological toxins; and limited use/disposable protective clothing, such as coveralls, laboratory coats, shirts, pants, hoods, aprons, sleeves, arm guards, caps, and smocks. The company provides durable woven garments; high performance FR/AR apparel; and services for the inspection, cleaning, decontamination, maintenance, and repair of firefighting protective apparel. The company sells its products to a network of safety and industrial supply distributors through in-house sales teams, customer service group, and independent sales representatives. It serves end users, such as integrated oil, chemical/petrochemical, automobile, steel, glas…
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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.