Orchid Island Capital, Inc (ORC) Fair Value & Analysis
Real Estate · US · Market cap $1.3B
Analysis
Orchid Island Capital, Inc (ORC) currently trades at $6.77, while our model-based Fair Value estimate is $9.57 — implying the stock looks roughly 41.4% undervalued today. We read business quality at 95/100 (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
Orchid Island Capital, Inc., a specialty finance company, invests in residential mortgage-backed securities (RMBS) in the United States. The company's RMBS is backed by single-family residential mortgage loans, referred to as Agency RMBS. Its portfolio comprises traditional pass-through Agency RMBS, such as mortgage pass through certificates and collateralized mortgage obligations; and structured Agency RMBS, including interest only securities, inverse interest only securities, and principal only securities. The company has elected to be taxed as a real estate investment trust (REIT) for the United States federal income tax purposes. As a result, it would not be subject to corporate income tax on that portion of its net income that is distributed to stockholders, if it annually distributes dividends equal to at least 90% of its REIT taxable income to its shareholders. Orchid Island Capital, Inc. was incorporated in 2010 and is headquartered in Vero Beach, Florida.
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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.