Jiangsu Suzhou Rural Commercial Bank Co (603323) Fair Value & Analysis
Financial Services · CN · Market cap 9.9B CNY
Analysis
Jiangsu Suzhou Rural Commercial Bank Co (603323) currently trades at ¥4.15, while our model-based Fair Value estimate is ¥8.30 — implying the stock looks roughly 100.0% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Jiangsu Suzhou Rural Commercial Bank Co., Ltd provides various banking products and services in China. The company offers savings and demand, fixed deposit and withdrawal, lump-sum, flexible, call, and agreement deposits, as well as certificates of deposits; personal consumer, business, mortgage, and other loans; and financial and intermediate services. It also provides corporate finance, such as corporate wealth management, self-operated wealth management; specialty loans; and settlement and SME financing services, as well as debit, credit, and citizen cards. In addition, the company offers international trade finance and settlement, letter of credit, and foreign currency savings and exchange services. Further, it provides digital RMB, personal and corporate online banking, mobile banking, Wechat, and SMS banking services, as well as customer service center and aggregated payment services. The company was formerly known as Jiangsu Wujiang Rural Commercial Bank Co., Ltd. and changed…
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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.