MFA Financial, Inc (MFA) Fair Value & Analysis
Real Estate · US · Market cap $973M
Fair value as of: Jun 25, 2026
Analysis
MFA Financial, Inc (MFA) currently trades at $9.61, while our model-based Fair Value estimate is $14.93 — implying the stock looks roughly 55.4% 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
MFA Financial, Inc., together with its subsidiaries, operates as a real estate investment trust in the United States. It operates through two segments: Mortgage-Related Assets and Lima One. The Mortgage-Related Assets segment primarily invests in and manages a diversified portfolio of residential whole loans, including nonqualified mortgage loans, business purpose loans such as single-family rental loans, single-family and multifamily transitional loans, legacy re-performing and non-performing loans, and agency-eligible investor loans. This segment also invests in residential mortgage-backed securities, including agency MBS, non-agency MBS, and credit risk transfer securities. The Lima One segment includes a stand-alone mortgage origination and servicing business; and originates and services business purpose loans for real estate investors, and related mortgage banking activities. The company offers residential whole loans, including purchased credit deteriorated and non-performing …
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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.