BrightSpire Capital, Inc (BRSP) Fair Value & Analysis
Real Estate · US · Market cap $713M
Analysis
BrightSpire Capital, Inc (BRSP) currently trades at $5.53, while our model-based Fair Value estimate is $3.59 — implying the stock looks roughly 35.1% 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: high).
About the company
BrightSpire Capital, Inc. operates as a commercial real estate (CRE) credit real estate investment trust in the United States and Norway. It operates through Senior and Mezzanine Loans and Preferred Equity; Net Leased and Other Real Estate; and Corporate and Other segments. The company focuses on originating, acquiring, financing, and managing a diversified portfolio of CRE debt investments consisting of senior mortgage loans, mezzanine loans, preferred equity investments, net leased real estate and other real estate properties, and CRE debt securities. It also engages in money market activities; and invests in private equity funds. The company has elected to be taxed as a real estate investment trust. As a result, it would not be subject to federal corporate income taxes if it distributes at least 90% of its taxable income to its stockholders. The company was formerly known as Colony Credit Real Estate, Inc. and changed its name to BrightSpire Capital, Inc. in June 2021. BrightSpir…
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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.