Marcus & Millichap, Inc (MMI) Fair Value & Analysis
Real Estate · US · Market cap $1.1B
Fair value as of: Jun 25, 2026
Analysis
Marcus & Millichap, Inc (MMI) currently trades at $29.66, while our model-based Fair Value estimate is $22.42 — implying the stock looks roughly 24.4% 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
Marcus & Millichap, Inc., an investment brokerage company, provides commercial real estate investment sales, financing services, research and advisory services in the United States and Canada. The company offers research on various property types comprising multifamily, retail, office, industrial, single-tenant net lease, seniors housing, self-storage, hospitality, medical office, and manufactured housing, as well as capital markets/financing. It also operates as a financial intermediary that provides commercial real estate capital markets solutions, including senior debt, mezzanine debt, joint venture, preferred equity, and securitization services, as well as loan sales and due diligence services to commercial real estate owners, developers, and investors. In addition, the company offers a way to buy and sell commercial property as a complement to its traditional property marketing channels. Further, it provides advisory and consulting services, which include opinions of value, ope…
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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.