Veradigm Inc (MDRX) Fair Value & Analysis
Healthcare · US · Market cap $517M
Analysis
Veradigm Inc (MDRX) currently trades at $5.00, while our model-based Fair Value estimate is $13.49 — implying the stock looks roughly 169.8% undervalued today. We read business quality at 92/100 (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: medium) — always confirm before acting.
About the company
Veradigm Inc., a healthcare technology company, provides information technology solutions to healthcare providers, payers, and biopharma markets in the United States and internationally. The company offers solutions to healthcare providers, comprising practice management software, AI patient scheduling software, and electronic statements and payments, and payerpath clearinghouse; revenue cycle services and coding services; electronic health records solutions, which include eprescribe with EPCS, EHR software, veradigm EHR, and practice fusion EHR; and patient engagement platform. It also provides solutions to network partners, which comprise API connectivity solutions, such as veradigm connect, veradigm app expo, and diagnostic ordering and resulting network; life sciences, health plans and payers, and providers; and veradigm eprescribe enterprise. In addition, the company offers risk adjustment solutions, such as health equity analytics, risk adjustment analytics, risk mitigator, co…
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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.