Angel Oak Mortgage REIT, Inc (AOMR) Fair Value & Analysis
Real Estate · US · Market cap $213M
Fair value as of: Jun 26, 2026
Analysis
Angel Oak Mortgage REIT, Inc (AOMR) currently trades at $8.73, while our model-based Fair Value estimate is $13.32 — implying the stock looks roughly 52.6% 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
Angel Oak Mortgage REIT, Inc., a real estate finance company, focuses on acquiring and investing in first lien nonqualified mortgage loans and other mortgage-related assets in the United States mortgage market. It offers investment securities; residential mortgage loans; and commercial mortgage loans. The company also offers futures contracts; non-agency residential mortgage backed securities; non-recourse securitization obligations; collateralized by residential mortgage loans; commercial bridge loans; mezzanine loans; construction loans; B-Notes; home equity lines of credit (HELOCs); and other related instruments. The company qualifies as a real estate investment trust for federal income tax purposes. It generally 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 Angel Oak Mortgage, Inc. and changed its name to Angel Oak Mortgage REIT, Inc. in March 2023. Angel Oak Mort…
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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.