Hachijuni Nagano Bank, Ltd (HACBF) Fair Value & Analysis
Financial Services · US · Market cap $2.8B
Analysis
Hachijuni Nagano Bank, Ltd (HACBF) currently trades at $6.13, while our model-based Fair Value estimate is $11.41 — implying the stock looks roughly 86.2% undervalued today. We read business quality at 97/100 (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: medium) — always confirm before acting.
About the company
Hachijuni Nagano Bank, Ltd. provides various banking products and services to individuals, corporations, and sole proprietors. It offers foreign currency, structured, time, property, public, payment, savings, and fixed deposits; housing, car, education card, card, medical, overdraft, business, founding support, and Hachini free loans; public and private placement bonds; and life, medical, education, and fire insurance products. The company also provides credit and debit cards; pension plans; and investment trust, inheritance, internet and mobile banking, pension consultation, foreign currency reserve, payment collection, expense settlement, and management and business support services, as well as information on civil trust. It also engages in financial products brokerage business. The company was formerly known as The Hachijuni Bank, Ltd. and changed its name to Hachijuni Nagano Bank, Ltd. in Jan 2026. The company was founded in 1877 and is headquartered in Nagano, Japan.
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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.