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J.W. Mays, Inc (MAYS) Fair Value & Analysis

Real Estate · US · Market cap $89.9M

Price$40.00
Fair Value$5.49
Upside-86.3%
Quality95/100
Evidence: Medium Range $1.10 – $10.03

Fair value as of: Jun 26, 2026

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Analysis

J.W. Mays, Inc (MAYS) currently trades at $40.00, while our model-based Fair Value estimate is $5.49 — implying the stock looks roughly 86.3% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate 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: medium).

About the company

J.W. Mays, Inc. engages in the owning, operation, and leasing of commercial real estate properties in the United States. Its properties are located in Brooklyn, Jamaica, Fishkill, Levittown, and Massapequa, New York; and Circleville, Ohio. J.W. Mays, Inc. was founded in 1924 and is based in Brooklyn, New York.

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Frequently asked questions

Is J.W. Mays, Inc (MAYS) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $5.49 versus a price of $40.00 — about −86% (overvalued). Model-based estimate, not financial advice.
What is the fair value of MAYS?
Our 21-model fair value for J.W. Mays, Inc is $5.49 (as of Jun 26, 2026), built from audited fundamentals. The current price is $40.00.
What is the quality score of MAYS?
J.W. Mays, Inc has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.