Ladder Capital Corp (LADR) Fair Value & Analysis
Real Estate · US · Market cap $1.3B
Fair value as of: Jun 25, 2026
Analysis
Ladder Capital Corp (LADR) currently trades at $10.23, while our model-based Fair Value estimate is $7.68 — implying the stock looks roughly 24.9% 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
Ladder Capital Corp operates as an internally-managed real estate investment trust in the United States. It operates through three segments: Loans, Securities, and Real Estate. The Loans segment originates and acquires balance sheet loans that provide interim financing to borrowers seeking short-term capital for the acquisition or transition of commercial real estate; originates conduit loans, which are first mortgage loans on commercial real estate properties for sale in commercial mortgage-backed securities securitizations; and invests in note purchase financings, subordinated debt, mezzanine debt, and other structured finance products related to commercial real estate. Its Securities segment invests in CMBS, U.S. Agency securities, corporate bonds, equity securities, and U.S. Treasury securities that are not classified as cash and cash equivalents. The Real Estate segment engages in net leased properties, other diversified real estate, and investments in unconsolidated ventures. …
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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.