Xianheng International Science&Technology Co (605056) Fair Value & Analysis
Industrials · CN · Market cap 7.4B CNY
Analysis
Xianheng International Science&Technology Co (605056) currently trades at ¥17.65, while our model-based Fair Value estimate is ¥14.00 — implying the stock looks roughly 20.7% 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
Xianheng International Science&Technology Co., Ltd. engages in the research and development, procurement, production, sale, and marketing of Maintenance, Repair, and Operation (MRO) products. The company offers technical services, such as power equipment status detection, non-destructive testing, fire detection and operation and maintenance, drone intelligent inspection, underground pipe network detection, measurement and calibration testing, special skills training, practical training programs and emergency drills. It operates Xianheng International Mall, an online e-commerce platform; and Safe City, an offline support platform building emergency scenarios for governments, industries, urban safety, and families. Further, the company provides power detection, metrology calibration, safety training, and underground cavity detection, and maintenance services. It offers products and services for large-scale group enterprises and government departments in the fields of energy, transport…
Open the full interactive analysis →
Similar stocks
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.