Zhongyuan Bank Co (ZNNGY) Fair Value & Analysis
Financial Services · US · Market cap $2.3B
Analysis
Zhongyuan Bank Co (ZNNGY) currently trades at $3.11, while our model-based Fair Value estimate is $6.22 — 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
Zhongyuan Bank Co., Ltd. provides various banking products and services in the Asia Pacific, North America, and internationally. The company operates through Corporate Banking, Retail Banking, and Financial Markets Business segments. The Corporate Banking segment provides corporate loans and advances, trade financing and deposit taking, agency, consulting and advisory, remittance and settlement, and guarantee services to corporations, government agencies, and financial institutions. The Retail Banking segment offers a range of financial products and services, including personal loans, deposits, bank cards, personal wealth management, and remittance services to retail customers. The Financial Markets Business segment provides inter-bank money market transaction, repurchase transactions, investment, liquidity position management, and debt issuance services, as well as trades in debt securities. The company was founded in 2014 and is headquartered in Zhengzhou, China.
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.