FIYTA Precision Technology Co (000026) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 8.3B CNY
Analysis
FIYTA Precision Technology Co (000026) currently trades at ¥21.81, while our model-based Fair Value estimate is ¥6.27 — implying the stock looks roughly 71.3% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
FIYTA Precision Technology Co., Ltd., together with its subsidiaries, engages in the research, design, development, manufacture, sale, retail, and servicing of watches under the FIYTA, MOONYANG, JONAS & VERUS, Emile Chouriet, Beijing, and Jeep brands in China. The company is involved in the design and manufacture of high-precision clocks, watch spares, and accessories; the production, machining, and technical development of precision spares and accessories for optical communication, laser, electronics, medical devices, and other industries; and the provision of customized product machining services. It also offers smartwatches and technical services. In addition, the company engages in the manufacture of timing instruments and wearable intelligent devices; jewelry wholesale and retail; non-residential real estate leasing; professional design services; and the sale of household electrical appliances and satellite mobile communication terminals. The company was formerly known as FIYTA…
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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.