CareCloud, Inc (CCLD) Fair Value & Analysis
Healthcare · US · Market cap $92.6M
Fair value as of: Jun 25, 2026
Analysis
CareCloud, Inc (CCLD) currently trades at $2.19, while our model-based Fair Value estimate is $4.57 — implying the stock looks roughly 108.7% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare 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
CareCloud, Inc., a healthcare information technology company, provides technology-enabled business solutions, Software-as-a-Service offerings, and related business services to healthcare providers and hospitals primarily in the United States. It operates through Healthcare IT and Medical Practice Management segments. The company's proprietary software and business services includes technology-enabled business solutions; cloud-based software; digital health services; healthcare IT professional services and staffing; MAP App; and medical practice management services. It also offers revenue cycle management services, healthcare claims clearinghouse, and medical coding and credentialing services; electronic health records, practice management software and related capabilities, patient experience management solutions, business intelligence and healthcare analytics platforms, and customized applications, interfaces, and various other technology solutions, as well as artificial intelligenc…
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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.