Red Violet, Inc (RDVT) Fair Value & Analysis
Technology · US · Market cap $777M
Analysis
Red Violet, Inc (RDVT) currently trades at $55.72, while our model-based Fair Value estimate is $19.58 — implying the stock looks roughly 64.9% 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
Red Violet, Inc., an analytics and information solutions company, specializes in proprietary technologies and applying analytical capabilities to deliver identity intelligence in the United States. It offers idiCORE, an investigative solution used to address various organizational challenges, which include due diligence, risk mitigation, identity authentication, fraud detection and prevention, customer acquisition, and regulatory compliance; and FOREWARN, an app-based solution that provides instant knowledge before face-to-face engagement with a consumer, as well as helps professionals to identify and mitigate risk. The company serves financial services, insurance, healthcare, retail, telecommunication companies, law enforcement and government agencies, collections, law, corporate security, and investigative firms. It markets its products and services through value-added distributors, resellers, and strategic partners; and trade shows and seminars, advertising, public relations, dis…
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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.