Mao Bao Inc (1732) Fair Value & Analysis
Consumer Defensive · TW · Market cap 1.1B TWD
Fair value as of: Jun 24, 2026
Analysis
Mao Bao Inc (1732) currently trades at 26.20 TWD, while our model-based Fair Value estimate is 17.42 TWD — implying the stock looks roughly 33.5% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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
Mao Bao Inc. manufactures and sells household and personal care products in Taiwan. The company offers laundry cleaning products, such as detergent, ball, cold water wash, fabric softener, laundry sanitizer; tableware cleaning products, including dishwashing liquid, kitchen cleaner powder; kitchen cleaning products comprising kitchen cleaner, all-purpose cleaner; bathroom cleaning products, such as cleaner, water scale and soap scale cleaner; and floor and surface cleaning products. It also provides washing machine, rice cooker, electric kettle descaling powder, oven airfryer cleansers, cockroach killer gel. In addition, the company offers personal cleaning products, such as anti-mosquito protection, antibacterial cleaning, and body cleansing products. Further, it also provides air fresheners; bathroom cleaning products; and personal cleaning products, such as shampoo, conditioner, body wash and lotion, antibacterial hand wash and hand gel, hand cream, and natural mosquito repellent…
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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.