Suntront Technology Co (300259) Fair Value & Analysis
Industrials · CN · Market cap 7.1B CNY
Analysis
Suntront Technology Co (300259) currently trades at ¥5.37, while our model-based Fair Value estimate is ¥2.58 — implying the stock looks roughly 52.0% overvalued today. We read business quality at 94/100 (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
Suntront Technology Co., Ltd. develops, manufactures, and sells smart meters in China. The company offers smart water, gas, heat, energy meter, and system; and remote devices and other products. It also provides prepayment, automatic meter reading, and technique-related solutions, as well as smart management software with various functions, such as file creation, account opening, daily business dealing, sales and multi-inquiry, report summary, read/write card, input/collect data, bill printing, and blacklist checking, etc. In addition, the company offers electromagnetic, NB-IoT volumetric, ultrasonic prepaid IC card, LoRa remote reading ultrasonic, M-Bus remote meter-reading, horizontal rotary liquid-sealed, volumetric, smart electromagnetic flowmeters; prepaid IC card large-caliber ultrasonic; 4G large-caliber ultrasonic water meters; ultrasonic, NB-IoT smart, wireless remote, M-Bus remote meter-reading, prepaid IC card, diaphragm, prepaid IC card large-caliber, and GPRS remote met…
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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.