NCS Testing Technology Co (300797) Fair Value & Analysis
Industrials · CN · Market cap 5.5B CNY
Analysis
NCS Testing Technology Co (300797) currently trades at ¥14.61, while our model-based Fair Value estimate is ¥8.54 — implying the stock looks roughly 41.5% 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
NCS Testing Technology Co., Ltd. provides third-party testing services in China. It offers integrated testing services, such as chemical analysis, mechanical testing, nondestructive testing, corrosion test, welding qualification, failure analysis, sample processing, and environmental reliability testing. The company also provides instruments and equipment, including direct reading spectrometer, scanning electron microscopy, carbon and sulfur analyzer, oxygen, nitrogen and hydrogen analyzer, ICP spectrometer, ICP-MS, X-ray fluorescence spectrometer, cigarette material tester, material testing machine, nondestructive testing equipment, non-destructive pipe flaw detection equipment, non-destructive bar flaw detection equipment, and other non-destructive flaw detection equipment. In addition, it offers standard substances/samples, consumables and spare parts, and customization services; proficiency testing services; metrology and calibration services; corrosion protection services; cert…
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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.