Repay Holdings (RPAY) Fair Value & Analysis
Technology · US · Market cap $346M
Fair value as of: Jun 25, 2026
Analysis
Repay Holdings (RPAY) currently trades at $3.26, while our model-based Fair Value estimate is $10.25 — implying the stock looks roughly 214.4% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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: medium) — always confirm before acting.
About the company
Repay Holdings Corporation, a payments technology company, provides integrated payment processing solutions that enables consumers and businesses to make payments using electronic payment methods in the United States. It operates through two segments: Consumer Payments and Business Payments. The company offers payment acceptance solutions, such as debit and credit card processing, automated clearing house (ACH) processing, e-cash, and digital wallet services; virtual credit card processing, enhanced ACH processing, instant funding, clearing and settlement, and communication solutions; and proprietary payment channels that include Web-based, mobile application, text-to-pay, interactive voice response, and point of sale services. It serves customers primarily operating in the personal loans, automotive loans, receivables management, and business-to-business verticals through direct sales representatives and software integration partners. Repay Holdings Corporation was founded in 2006 …
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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.