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A refreshed Micron Technology thesis using latest official May 2026 data, Q2 FY2026 results, HBM4 production, AI server memory demand, data-center mix, U.S. manufacturing updates, capex, balance-sheet strength, and cycle risk.
MercadoLibre's Q1 2026 TPV was about 4.6x marketplace GMV, showing that Mercado Pago is more than a checkout layer. Amazon has the larger global machine, but official filings do not show a comparable disclosed Latin America fintech flywheel.
Amazon reported 2025 revenue of $716.9 billion and Q1 2026 revenue of $181.5 billion. The thesis depends on AWS growth, advertising scale, retail margin, fulfillment efficiency and AI capital intensity.
Affirm is scaling GMV and has moved into GAAP operating profitability, but the stock thesis still depends on credit discipline, funding access, partner concentration, regulation and whether Card, wallets and international expansion preserve unit economics.
Aeva has the kind of customer list lidar startups chase: Daimler Truck, a Top 10 European OEM, NVIDIA, Forterra, Nikon and smart-infrastructure deployments. The catch is that revenue is still $6.3 million a quarter, broad-based deliveries are not expected in 2026, and the bridge is funded by cash, convertible debt and an equity-linked facility.
ADI is not a pure AI stock. It is a cash-rich analog semiconductor leader where industrial recovery, automotive resilience, and data-center infrastructure orders are now arriving at the same time.
Axcelis has a focused ion-implant franchise, a sizable installed-base service layer, strong cash and investment liquidity, and Veeco optionality. The hard part is that power and mature-node digestion have pulled revenue down, backlog is lower, export controls matter, and the next leg needs memory strength to become orders instead of just commentary.
A Coverage Bootstrap ASML company evaluation covering the business model, EUV and DUV products, customers, moat, financial quality, export-control risk, valuation setup, and watchlist triggers.
A Micron five-year double thesis focused on HBM demand, DRAM/NAND cycle discipline, capital intensity, and whether AI memory improves through-cycle economics.