GRG Banking Equipment Co (002152) Fair Value & Analysis
Industrials · CN · Market cap 25.2B CNY
Analysis
GRG Banking Equipment Co (002152) currently trades at ¥10.18, while our model-based Fair Value estimate is ¥9.75 — implying the stock looks roughly 4.2% overvalued today. We read business quality at 80/100 (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
GRG Banking Equipment Co., Ltd. provides artificial intelligence solutions for financial self-service industry in China and internationally. the company operates through two segments: FinTech and Smart City. It provides intelligent self-service equipment; and AI-driven visual big data, smart building technologies, and advanced transportation systems. It offers automatic teller machines, and recyclers; and digital branch; content management; cash sorting machines, terminal operation, and security; multifunctional smart branch; community smart branch; and branch on wheels, a mobile bank. The company also provides smart transactions, such as smart teller machine, branch cash recyclers, and card processing, portable smart teller machine, smart management, smart counter, and digital banking. Further, it provides intelligent deposit machines, retail cash-to-card ATM/CRS, retail cash management solution, and e-payment solutions. In addition, the company provides banknote processing, coin p…
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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.