Atlanticus Holdings (ATLC) Fair Value & Analysis
Financial Services · US · Market cap $1.4B
Analysis
Atlanticus Holdings (ATLC) currently trades at $104.54, while our model-based Fair Value estimate is $54.06 — implying the stock looks roughly 48.3% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services 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
Atlanticus Holdings Corporation, a financial technology company, provides products and services to lenders in the United States. The company operates in two segments, Credit as a Service (CaaS) and Auto Finance. Its CaaS segment offers private label credit products associated with the healthcare space under the Curae brand, as well as consumer electronics, furniture, elective medical procedures, and home-improvement under the Fortiva brand and its retail partners' brands; and general-purpose credit cards under the Aspire, Imagine, Mercury, and Fortiva brand names. The company's private label and general-purpose credit cards originated from its bank partners through various channels, including retail and healthcare point-of-sale locations, direct mail solicitation, and digital marketing and partnerships with third parties. This segment also offers loan servicing, such as risk management and customer service outsourcing for third parties, as well as engages in other product testing an…
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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.