Singer Thailand Public Company (SINGER) Fair Value & Analysis
Financial Services · TH · Market cap 7.1B THB
Fair value as of: Jun 24, 2026
Analysis
Singer Thailand Public Company (SINGER) currently trades at 9.55 THB, while our model-based Fair Value estimate is 4.94 THB — implying the stock looks roughly 48.3% overvalued today. We read business quality at 81/100 (high quality), in the Financial Services 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: medium).
About the company
Singer Thailand Public Company Limited, together with its subsidiaries, distributes household electrical and commercial appliances in Thailand. The company operates through three segments: Trade Sales; Hire Purchase and Loans; and Service and Others. It offers household electrical appliances, such as sewing machines, kitchen appliances, vacuums cleaners and air purifiers, refrigerator, gas stove, washing machine, television, audio, fans, shower heaters, air conditioners, small appliances, and hair styling tools. The company also provides commercial appliances comprising beverage coolers, food freezer, wine cellar, automatic coffee machine, security camera, snowy, soft serve ice cream machine, drinking water vending machine, top-up vending machine, coin- operated washing machine, and other commercial products; water pumps; and mobile phones. In addition, the company engages in the life and non-life insurance brokerage business; trade sale and hire purchase of home appliances, electro…
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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.