Siebert Financial Corp (SIEB) Fair Value & Analysis
Financial Services · US · Market cap $75.3M
Fair value as of: Jun 26, 2026
Analysis
Siebert Financial Corp (SIEB) currently trades at $1.95, while our model-based Fair Value estimate is $2.13 — implying the stock looks roughly 9.2% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services 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
Siebert Financial Corp., together with its subsidiaries, engages in the provision of brokerage and financial advisory services in the United States. It offers self-directed trading, market making and fixed income investment, stock borrow/stock loan, equity compensation plans, and wealth management/financial advisory; Investment banking / capital markets; and advanced trading services; corporate services; independent retail execution services; and retail customer services. The company also offers self-directed retirement accounts, as well as lends customers a portion of the market value of marginable securities held in the customer's account. In addition, the company provides data technology platform that offers various services, such as email and messaging, market data systems and third-party trading systems, business productivity tools, and customer relationship management systems. Further, it offers a robo-advisory technology that provides clients with an automated wealth manageme…
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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.