Logansport Financial Corp (LOGN) Fair Value & Analysis
Financial Services · US · Market cap $19.8M
Fair value as of: Jun 26, 2026
Analysis
Logansport Financial Corp (LOGN) currently trades at $32.15, while our model-based Fair Value estimate is $26.51 — implying the stock looks roughly 17.5% overvalued today. We read business quality at 92/100 (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: medium).
About the company
Logansport Financial Corp. operates as the holding company for Logansport Savings Bank that provides various banking products and services to individuals and businesses in Cass County, Indiana. The company's personal banking products and services include checking accounts, rite accounts, NOW accounts, savings accounts, health savings accounts, certificates of deposit, and individual retirement accounts; mortgage, home equity lines of credit, home improvement, construction, commercial buildings, farm, consumer, education, and car loans, as well as loans for single family and multi-family dwellings; and overdraft, and internet and mobile banking services. It also provides business and commercial checking accounts, commercial savings accounts/certificates of deposit, money market accounts and certificates, commercial sweep accounts, ACH debit/credit capabilities, electric federal tax payment systems, remote banking and merchant card services, wires, coin services, night deposit bags, a…
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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.