MBIA Inc (MBI) Fair Value & Analysis
Financial Services · US · Market cap $310M
Fair value as of: Jun 23, 2026
Analysis
MBIA Inc (MBI) currently trades at $6.00, while our model-based Fair Value estimate is $3.93 — implying the stock looks roughly 34.5% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services 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: medium).
About the company
MBIA Inc., together with its subsidiaries, provides financial guarantee insurance services to public finance markets in the United States. It operates through United States (U.S.) Public Finance Insurance, Corporate, and International and Structured Finance Insurance segments. The company issues financial guarantees for municipal bonds, including tax-exempt and taxable indebtedness of the U.S. political subdivisions, as well as utilities, airports, health care institutions, higher educational facilities, housing authorities, and other similar agencies and obligations issued by private entities. It also insures non-U.S. public finance and global structured finance, including asset-backed obligations; sovereign-related and sub-sovereign bonds, utilities, and privately issued bonds used for the financing for toll roads, bridges, public transportation facilities, and other types of infrastructure projects; and structured finance and asset-backed obligations comprising residential and co…
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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.