Hangzhou Seck Intelligent Technology Co (300897) Fair Value & Analysis
Technology · CN · Market cap 3.2B CNY
Analysis
Hangzhou Seck Intelligent Technology Co (300897) currently trades at ¥15.30, while our model-based Fair Value estimate is ¥2.93 — implying the stock looks roughly 80.8% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
Hangzhou Seck Intelligent Technology Co., Ltd. offers smart water solutions in China. The company offers prepaid water meters; dry-type and volumetric mechanical water meters; pulse-type smart water meters comprising pulse valve-controlled smart water meters and pulse smart remote water meters; non-magnetic smart water meters consisting of non-magnetic valve-controlled smart water meters and split-type non-magnetic communication modules; optical smart water meters, such as photovoltaic, camera, and camera non-magnetic smart water meters; ultrasonic smart water meters, including small caliber, large caliber, and valve-controlled ultrasonic smart water meters; and large meter monitors. It also provides smart water pipe network intelligent products; intelligent software integration products, including water intelligent metering cloud platforms, leakage control systems, water supply intelligent hydraulic models, smart water plant platforms, and smart water home management systems; smart…
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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.