United Testing Inspection And Certification Technology Co (301115) Fair Value & Analysis
Industrials · CN · Market cap 6.2B CNY
Analysis
United Testing Inspection And Certification Technology Co (301115) currently trades at ¥31.42, while our model-based Fair Value estimate is ¥7.81 — implying the stock looks roughly 75.1% overvalued today. We read business quality at 87/100 (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: medium).
About the company
United Testing Inspection And Certification Technology Co., Ltd. provides inspection, testing, and certification services in China and internationally. It operates in four segments: Inspection and Testing Services, Special Engineering Professional Services, New Engineering Materials Sales, and City Security. The company offers testing and identification, including engineering quality inspection and professional non-destructive, transportation, and environmental testing; specialized construction, such as specialized construction projects, foundation engineering, and building maintenance; and green building materials comprising concrete admixtures, building energy-saving insulation systems, materials for high-speed rail, dry-mixed mortars, and functional materials, as well as environmentally friendly wear-resistant flooring systems, rigid self-waterproofing systems, and GMT anti-abrasion mortars. It also provides consulting and design, which include geotechnical engineering design 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.