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Kearny Financial Corp (KRNY) Fair Value & Analysis

Financial Services · US · Market cap $533M

Price$8.89
Fair Value$5.39
Upside-39.4%
Quality95/100
Evidence: High Range $4.04 – $6.73

Analysis

Kearny Financial Corp (KRNY) currently trades at $8.89, while our model-based Fair Value estimate is $5.39 — implying the stock looks roughly 39.4% overvalued today. We read business quality at 95/100 (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: high).

About the company

Kearny Financial Corp. operates as the holding company for Kearny Bank that provides various banking products and services in the United States. The company offers various deposit products, including interest-bearing and non-interest-bearing checking accounts, money market deposit accounts, savings accounts, and certificates of deposit accounts. It also provides various loans, such as multi-family and nonresidential real estate mortgage loans, commercial term loans and lines of credit, one- to four-family residential mortgage loans, and home equity loans and lines of credit; loans to individuals, builders, or developers for the construction of multi-family residential buildings or commercial real estate, or for the construction or renovation of one- to four-family residences; overdraft lines of credit; and personal loans, as well as engages in the investment activities. The company was founded in 1884 and is headquartered in Fairfield, New Jersey.

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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.