Warrix Sport Public Company (WARRIX) Fair Value & Analysis
Consumer Cyclical · TH · Market cap 825M THB
Fair value as of: Jun 24, 2026
Analysis
Warrix Sport Public Company (WARRIX) currently trades at 1.37 THB, while our model-based Fair Value estimate is 1.22 THB — implying the stock looks roughly 10.9% overvalued today. We read business quality at 92/100 (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: high).
About the company
Warrix Sport Public Company Limited manufactures and sells uniform, clothing, and sport equipment for men, women, and children in Thailand and internationally. It operates in three segments: Credit Selling, Online Selling, and Others. The company offers school/university shirt and foot club shirts; shirts, pants, shoes, socks, bags, and hats; training and gym, football, futsal, run, golf, and basketball attire; backpack, sandals, warm-up suit, tight dress, and pajamas; and accessories and equipment, such as arm sleeves, ball, cap, mask, souvenirs, scarf, shin guards, sprays, and wristband. It also provides tanks, shorts, leggings, visors, jackets, sweaters, sleepwear, and skirts; balls, armbands, yoga blocks, masks, and face shields; training cables and support bra; and running shoes under the Asics and On brands. In addition, the company offers polo shirt, t-shirt, sports jersey, jackets and hoodies, compression suit, shorts, trousers, sweatpants, and underwear; and bakery, bird fa…
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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.