MBT Bancshares, Inc (MBKL) Fair Value & Analysis
Financial Services · US · Market cap $55.4M
Fair value as of: Jun 26, 2026
Analysis
MBT Bancshares, Inc (MBKL) currently trades at $27.10, while our model-based Fair Value estimate is $43.21 — implying the stock looks roughly 59.4% 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
MBT Bancshares, Inc. operates as a bank holding company for the Metairie Bank and Trust Company that provides various banking products and services in the United States. The company offers checking, savings, individual retirement, NOW, and money market accounts; non-interest-bearing demand and interest-bearing demand deposits; certificates of deposit; debit and credit cards; and online banking services. It also provides home and mortgage, personal, auto, recreational, business term, commercial real estate, and commercial construction loans; and business and personal lines of credit, and letters of credit, as well as paycheck protection programs (PPP). In addition, the company offers account analysis, ACH, automatic funds transfer, coin counting, collection, foreign currency exchange, merchant, money order, municipal bond coupon redemption, online bill pay, overdraft privilege and protection, remote capture deposit, sweep investment, and wire transfer services; and combined statement…
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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.