MetroCity Bankshares, Inc (MCBS) Fair Value & Analysis
Financial Services · US · Market cap $952M
Analysis
MetroCity Bankshares, Inc (MCBS) currently trades at $35.17, while our model-based Fair Value estimate is $31.16 — implying the stock looks roughly 11.4% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services 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
MetroCity Bankshares, Inc. operates as the bank holding company for Metro City Bank that provides banking products and services in the United States. The company offers customary banking services, such as consumer and commercial checking, savings, and money market accounts, as well as certificates of deposit. It also provides commercial and consumer loans, including single family residential loans; construction and development, and owner and non-owner occupied commercial real estate loans; and commercial and industrial, residential mortgage, small business administration loans, and consumer and other loans, as well as letters of credit and investment securities. In addition, the company offers online banking services, which include access to account balances, online transfers, online bill payment, and electronic delivery of customer statements; mobile banking solutions, such as remote check deposit with mobile bill pay; and automated teller machines and banking by telephone, mail an…
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.