Elevance Health, Inc (E1LV34) Fair Value & Analysis
Healthcare · BR · Market cap R$458B
Analysis
Elevance Health, Inc (E1LV34) currently trades at R$421.98, while our model-based Fair Value estimate is R$85.06 — implying the stock looks roughly 79.8% overvalued today. We read business quality at 91/100 (high quality), in the Healthcare 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
Elevance Health, Inc., together with its subsidiaries, operates as a health benefits company in the United States. The company operates in four segments: Health Benefits, CarelonRx, Carelon Services, and Corporate & Other. It offers a variety of health plans and services to individual, employer group risk-based and fee-based, BlueCard, Medicare, Medicaid, and FEP members; health products; a broad array of fee-based administrative managed care services; and specialty and other insurance products and services, such as stop loss, dental, vision, and supplemental health insurance benefits. The company also operates in the pharmacy services business; and markets and offers pharmacy services, including home delivery and specialty pharmacies, claims adjudication, formulary management, pharmacy networks, rebate administration, a prescription drug database, and member services, as well as infusion services and injectable therapies through ambulatory infusion centers. In addition, it provides…
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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.