Shenzhen Yanmade Technology Inc (688312) Fair Value & Analysis
Industrials · CN · Market cap 12.0B CNY
Analysis
Shenzhen Yanmade Technology Inc (688312) currently trades at ¥95.99, while our model-based Fair Value estimate is ¥18.79 — implying the stock looks roughly 80.4% 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
Shenzhen Yanmade Technology Inc., together with its subsidiaries, engages in the research, design, development, production, and sale of automated and intelligent testing equipment in China and internationally. The company offers FPC automated testing equipment comprising dual-layer, general-purpose multi-process, and small-scale automated testing equipment, as well as dual-station and six-station turntables, and single-station bending fixtures; MEMS sensor testing equipment consisting of linear and single-station MEMS sensor testing and calibration equipment, temperature and humidity sensor testing and calibration equipment, IMU laboratory testing equipment, and IMU test and calibration equipment; and automotive electronics/IC substrate testing equipment, such as FPCA/CCS and roll-to-roll FPC flying probe testers, and IC carrier board testing machines. It also provides RF testing equipment, including RF multi-process line automation equipment, RF single-process automatic loading and…
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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.