Hangzhou Innover Technology Co (002767) Fair Value & Analysis
Technology · CN · Market cap 2.7B CNY
Fair value as of: Jun 25, 2026
Analysis
Hangzhou Innover Technology Co (002767) currently trades at ¥17.34, while our model-based Fair Value estimate is ¥5.39 — implying the stock looks roughly 68.9% overvalued today. We read business quality at 94/100 (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 Innover Technology Co., Ltd. engages in the research, development, production, and sale of urban gas equipment and smart gas solutions in China and internationally. The company offers smart gas meter control devices, including IC card, wireless remote transmission, and industrial and commercial smart gas meters; and smart gas terminal products, such as ultrasonic and diaphragm gas meters, as well as ultrasonic, turbine, and root flow meters. It also provides safety monitoring terminal products comprising laser-based remote sensing drone, multi-dimensional data acquisition device, gas pipeline leak detector, home combustible gas alarm, handheld laser methane remote sensing and telemetry instruments, intelligent cathodic protection test pile, explosion-proof wireless pressure monitoring instrument, intelligent valve well monitoring instrument, and scanning laser methane detector, as well as industrial, commercial, and civil AI gas safety valves. The company was incorporated i…
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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.