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Freedom Acquisition I Corp (FACT) Fair Value & Analysis

Financials · US · Market cap $260M

Price$10.65
Fair Value$7.16
Upside-32.8%
Quality95/100
Evidence: Low Range $5.37 – $8.95

Fair value as of: Jun 26, 2026

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Analysis

Freedom Acquisition I Corp (FACT) currently trades at $10.65, while our model-based Fair Value estimate is $7.16 — implying the stock looks roughly 32.8% overvalued today. We read business quality at 95/100 (high quality), in the Financials 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: low).

About the company

Freedom Acquisition I Corp. does not have significant operations. The company focuses on effecting a merger, share exchange, asset acquisition, share purchase, reorganization, or related business combination with one or more businesses. Freedom Acquisition I Corp. was incorporated in 2020 and is based in New York, New York.

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Frequently asked questions

Is Freedom Acquisition I Corp (FACT) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $7.16 versus a price of $10.65 — about −33% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FACT?
Our 21-model fair value for Freedom Acquisition I Corp is $7.16 (as of Jun 26, 2026), built from audited fundamentals. The current price is $10.65.
What is the quality score of FACT?
Freedom Acquisition I Corp has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.