Home Loan Financial Corporation (HLFN) Fair Value & Analysis
Financial Services · US · Market cap $63.4M
Fair value as of: Jun 26, 2026
Analysis
Home Loan Financial Corporation (HLFN) currently trades at $43.43, while our model-based Fair Value estimate is $66.57 — implying the stock looks roughly 53.3% 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
Home Loan Financial Corporation, a unitary thrift holding company, provides various banking products and services in the United States. The company's primary deposit products include checking, savings, and term certificate accounts; and lending products comprise residential mortgage, nonresidential mortgage, residential construction and land, commercial, and consumer loans. It also provides consumer credits, such as home improvement loans, education loans, loans secured by savings accounts, motor vehicle loans, unsecured loans, and credit cards. In addition, the company sells life insurance, annuity, long-term care insurance, and investment products. Home Loan Financial Corporation was incorporated in 1997 and is based in Coshocton, Ohio.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Home Loan Financial Corporation (HLFN) undervalued?
What is the fair value of HLFN?
What is the quality score of HLFN?
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.