Bonia Corporation (9288) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 177M MYR
Fair value as of: Jun 24, 2026
Analysis
Bonia Corporation (9288) currently trades at 0.8800 MYR, while our model-based Fair Value estimate is 1.54 MYR — implying the stock looks roughly 75.0% undervalued today. We read business quality at 87/100 (high quality), in the Consumer Cyclical sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Bonia Corporation Berhad, an investment holding company, engages in the designing, manufacturing, promoting, advertising, and marketing of fashionable apparel, footwear, accessories, and leather goods in Malaysia, Singapore, Indonesia, and internationally. It operates through Retailing; Manufacturing; and Investment and Property Development segments. The company offers bags, wallets, accessories, and watches; eyewear; beauty products; and ready to wear products, such as coats and jackets, cardigans and sweatshirts, dresses and skirts, pants and shorts, shirts and tops, sportswear, blazers and jackets, pants, T-shirts, shirts for men and women. It also manufactures and markets fashionable leather goods through retail stores, as well as online platforms; and other marketplaces, such as Zalora, Shopee and Lazada; as well as social commerce such as BONIA and BRAUN BUFFEL TikTok Shop. In addition, the company involved in the investment, development, and rental of commercial properties; p…
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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.