H&R Block, Inc (HRB) Fair Value & Analysis
Consumer Cyclical · US · Market cap $4.9B
Analysis
H&R Block, Inc (HRB) currently trades at $36.33, while our model-based Fair Value estimate is $78.83 — implying the stock looks roughly 117.0% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
H&R Block, Inc., through its subsidiaries, provides assisted and do-it-yourself (DIY) tax return preparation services in the United States, Canada, and Australia. The company also provides Refund Transfers, that enable clients to receive their tax refunds by their chosen method of disbursement; Peace of Mind extended service plans, that represents clients when audited and assumes the cost; H&R Block Emerald Prepaid Mastercard and Spruce, which are debit cards that can be used for everyday purchases and ATM withdrawals; H&R Block Emerald Advance term loans; Tax Identity Shield that provides clients assistance in helping protect their tax identity and access to services to help restore their tax identity; refund advance loans; and H&R Block Instant Refund. In addition, it offers small business financial solutions to manage finances, including payment processing, payroll, and bookkeeping services. The company its solutions through in-person; a system of retail offices operated directly…
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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.