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Millrose Properties, Inc (MRP) Fair Value & Analysis

Real Estate · US · Market cap $4.7B

Price$28.99
Fair Value$41.87
Upside+44.4%
Quality91/100
Evidence: High Range $28.39 – $52.34

Analysis

Millrose Properties, Inc (MRP) currently trades at $28.99, while our model-based Fair Value estimate is $41.87 — implying the stock looks roughly 44.4% undervalued today. We read business quality at 91/100 (high quality), in the Real Estate 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

Millrose Properties, Inc. is the premier homesite option platform for residential homebuilders. The company specializes in the acquisition and horizontal development of land to provide a predictable, just-in-time supply of finished homesites " the scarcest and mission-critical resource in the homebuilding industry. Unlike traditional land bankers, Millrose utilizes a proprietary technology platform that provides real-time feedback and data analytics to drive acquisition decisions. Every transaction in the Millrose portfolio undergoes rigorous independent due diligence to ensure attractive yields and long-term viability. By enabling an asset-light model, Millrose provides its diverse roster of homebuilder partners with the strategic flexibility to maintain production volumes and optimize balance sheet efficiency across all market environments. Millrose Properties, Inc.is based in Miami, United States.

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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.