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The 3 Best Nasdaq-100 Stocks to Buy Now -- They Could Soar 50% to 60%, According to Wall Street

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Artificial IntelligenceTechnology & InnovationCompany FundamentalsAnalyst EstimatesFintechEmerging MarketsTransportation & LogisticsInvestor Sentiment & Positioning

Median Wall Street targets imply meaningful upside: Nvidia (NVDA) is ~15% below its high with a $265 median target implying ~50% upside from $176; analysts forecast adjusted EPS growth of ~53% annually over the next two years and NVDA trades near ~37x adjusted earnings. MercadoLibre (MELI) is cited down ~37% from its high with a $2,600 median target implying ~60% upside from $1,630; Street estimates ~37% annual earnings growth through 2027 and the company is investing in logistics and credit to defend marketplace, ad, and fintech moats (valuation ~41x). Microsoft (MSFT) is ~31% below its high with a $600 median target implying ~57% upside from $383; consensus expects ~15% annual adjusted EPS growth through June 2027, a ~24x multiple, and management is monetizing AI across Microsoft 365 and Azure (including OpenAI API exclusivity).

Analysis

Nvidia’s strength is increasingly a systems-and-ecosystem moat, not just a component advantage; that implies the real value capture will accrue to firms that control orchestration (software, interconnects, systems integration) and to cloud operators who amortize TCO across scale. A short-term inventory flush or a bespoke-silicon win at a hyperscaler would dent headline growth, but the longer-term dynamics favor whoever can drive utilization and lower total cost per inference — think higher marginal value for networking, power/cooling, and systems software vendors. MercadoLibre’s heavy logistics and credit investment is a classic density play: once delivery network fixed costs scale above a local threshold, incremental unit economics move from loss-leading to margin-accretive. The key sensitivities are parcel density per route, loan loss rates through macro cycles, and FX-denominated funding costs; those three variables will decide whether recent capex is a durable moat or a multi-quarter drag on returns. Microsoft’s AI monetization is a product-bundling and renewal-defense story — embedding models into enterprise workflows raises ARPU and increases switching frictions more than raw cloud share numbers indicate. But model hosting costs and potential regulatory/contractual limits on OpenAI exclusivity are two asymmetrical downside risks that could compress incremental margins even as revenues continue to grow.