SUFA Technology Industry Co (000777) Fair Value & Analysis
Industrials · CN · Market cap 6.9B CNY
Fair value as of: Jun 25, 2026
Analysis
SUFA Technology Industry Co (000777) currently trades at ¥19.12, while our model-based Fair Value estimate is ¥7.53 — implying the stock looks roughly 60.6% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
SUFA Technology Industry Co., Ltd., CNNC engages in the research and development, production, sales, and service of industrial valves in China and internationally. The company offers gate, stop, check, ball, butterfly, and regulating valves under the H and SUFA brands. It also provides petrochemical, power station and conventional island, utility, nuclear grade, LNG ultra-low temperature, and coal chemical valves, as well as mechanical accessories. In addition, the company involved in production, processing, works, and sales of sale forgings and flange pipe fittings; sales of metal, materials, construction, building materials, hardware, and electricals; inspection and testing; general items; measurement services; technical development services; technical consultation, exchange, transfer, and promotion; and research and technology development of breath test reagents and testing instruments. SUFA Technology Industry Co., Ltd., CNNC was founded in 1952 and is headquartered in Suzhou, C…
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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.