Sirtec International Co (5356) Fair Value & Analysis
Technology · TW · Market cap 2.9B TWD
Fair value as of: Jun 24, 2026
Analysis
Sirtec International Co (5356) currently trades at 27.50 TWD, while our model-based Fair Value estimate is 27.95 TWD — implying the stock looks roughly 1.6% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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
Sirtec International Co.,Ltd., together with its subsidiaries, designs, manufactures, and sells electronic product assemblies, and plastic injection and molding products in Taiwan and China. The company offers communication products, including GPS receivers, broadband routers, and VO IPhones; computer peripheral products, such as laser toner cartridges, POS machines, and platform NAS; consumer products comprising LED TVs, HHDs, and Bluetooth; optoelectronic products, such as TFT-LCD drive cards, and LED light bars and lightings; automotive electronic products comprising head up displays, car video recorders, GPS models, and tire pressure detectors; and OEM products consisting of FPC processing, dispensers, blood glucose meters, and smart meters. It also provides plastics products comprising cartridges, barcode scanners, car audio driver panels, modems, electronic assembly products, game controllers, health care and medical equipment, and electronic piano panels. Further, it is invol…
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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.