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Figure Technology Solutions, Inc (FIGR) Fair Value & Analysis

Financial Services · US · Market cap $7.1B

Price$27.98
Fair Value$12.46
Upside-55.5%
Quality87/100
Evidence: Medium Range $9.35 – $15.58

Analysis

Figure Technology Solutions, Inc (FIGR) currently trades at $27.98, while our model-based Fair Value estimate is $12.46 — implying the stock looks roughly 55.5% overvalued today. We read business quality at 87/100 (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

Figure Technology Solutions, Inc., a financial technology company, provides blockchain-based products and solutions in the United States. The company offers a suite of blockchain-based solutions for its marketplaces, including lending, trading, and investing activities in areas, such as consumer credit and digital assets. It also provides technology-enabled loan origination system and pairs this system with a distribution marketplace; Figure Connect that provides access to a deep and broad pool of capital markets partners; and develops an exchange for digital assets and credit, which offers interest-bearing stablecoin deposits. The company was formerly known as FT Intermediate, Inc. and changed its name to Figure Technology Solutions, Inc. in August 2025. Figure Technology Solutions, Inc. was founded in 2018 and is based in Reno, Nevada.

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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.