Bankinter, S.A (BKIMF) Fair Value & Analysis
Financial Services · US · Market cap $13.5B
Analysis
Bankinter, S.A (BKIMF) currently trades at $16.70, while our model-based Fair Value estimate is $17.93 — implying the stock looks roughly 7.4% 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
Bankinter, S.A. provides various banking products and services to individuals, corporates, and small- and medium-sized enterprises in Spain, Luxembourg, Portugal, and Ireland. The company operates through Commercial Banking, Corporate Banking, BKCF Spain, BK Portugal, BK Ireland, and Other Businesses segments. It offers smart digital, payroll, pension, business, non-salary, currency, youth, current, and management accounts; debit and credit cards; cash management cash pooling; guarantees; mortgages and loan products; financing; and investment banking and wealth management services. The company also provides investment funds, retirement, broker, alternative investment, deposit, and treasury bills; SEPA direct debit, VAT and invoice advance, commercial discount, factoring, cheque deposits, and POS; and cheque and promissory notes, confirming, payroll, and tax and social security; treasury management and documentary business; and VAT advance, multi-currency and open-term credit account…
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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.