BXP, Inc (BXP) Fair Value & Analysis
Real Estate · US · Market cap $11.2B
Fair value as of: Jun 25, 2026
Analysis
BXP, Inc (BXP) currently trades at $64.14, while our model-based Fair Value estimate is $53.27 — implying the stock looks roughly 16.9% overvalued today. We read business quality at 81/100 (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
BXP, Inc. (BXP) is the largest publicly traded developer, owner, and manager of premier workplaces in the United States. Also, concentrated in six dynamic gateway markets - Boston, Los Angeles, New York, San Francisco, Seattle, and Washington, DC. BXP has delivered places that power progress for our clients and communities for more than 55 years. BXP is a fully integrated real estate company, organized as a real estate investment trust (REIT). As of March 31, 2026, including properties owned by joint ventures, BXP's portfolio totals 50.4 million square feet and 164 properties, including six properties under construction/redevelopment. BXP's portfolio consists of 143 office properties, 14 retail properties, six residential properties (including three residential properties under construction) and one hotel. BXP is well known for its in-house building management expertise and responsiveness to clients' needs. BXP holds a superior track record of developing premium Central Business Dis…
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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.