San Neng Group (6671) Fair Value & Analysis
Consumer Defensive · TW · Market cap 1.6B TWD
Fair value as of: Jun 24, 2026
Analysis
San Neng Group (6671) currently trades at 25.00 TWD, while our model-based Fair Value estimate is 39.00 TWD — implying the stock looks roughly 56.0% undervalued today. We read business quality at 94/100 (high quality), in the Consumer Defensive 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: high) — always confirm before acting.
About the company
San Neng Group Holdings Co., LTD., through its subsidiaries, engages in the manufacture, processing, and sale of baking equipment and peripheral products in Taiwan, Mainland China, Japan, and internationally. The company offers baking trays, cake molds, chocolate fork, display tray, plastic basket, cake stand, knife, loaf pan, thermometer, stainless steel measuring, rings, multi links, plastic extruded bag, sieve, spray bottle, brush thin, cutter, measuring cups and spoon, egg separator, bread mold, egg fryer ring, scissors, brush plastic handle, spatula, pastry bag, cooling rack, backing mat, fiberglass sheet, pastry tips, pie and pizza pan, alloy trolley, cake demold paper, baking paper, hamburger and square pan, biscuit sheet, and whisk. It also provides eggbeaters, eggbeaters, flower spouts, squeeze bags, trolleys, imprinting impressions, price clips, as well as flours, pre-mixed powders, fillings, oils, food colorings, and other baking-related food materials. In addition, it pr…
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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.