Paysign, Inc (PAYS) Fair Value & Analysis
Technology · US · Market cap $414M
Fair value as of: Jun 24, 2026
Analysis
Paysign, Inc (PAYS) currently trades at $7.44, while our model-based Fair Value estimate is $2.60 — implying the stock looks roughly 65.1% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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: high).
About the company
Paysign, Inc. provides prepaid card programs, patient affordability offerings, digital banking, life science software technology solutions, and integrated payment processing services for businesses, consumers, and government institutions in the United States. The company offers solutions for corporate rewards, prepaid gift cards, general-purpose reloadable debit cards, employee incentives, consumer rebates, donor compensation, clinical trials, healthcare reimbursement payments and pharmaceutical payment assistance, and demand deposit accounts accessible with a debit card and software solutions. It also operates a customer service center; and offers a communication suite, including mobile app, two-way SMS, text alerts, and cardholder web portal. It markets its prepaid card solutions under the Paysign brand name. The company serves companies and municipalities that require payment solutions for rewards, rebates, payment assistance, and other payments to their customers, employees, age…
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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.