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I Predicted Microsoft Would Hit an All-Time High in 2025, but the Stock Is Down 22% From That Record. Can Microsoft Recover in 2026?

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I Predicted Microsoft Would Hit an All-Time High in 2025, but the Stock Is Down 22% From That Record. Can Microsoft Recover in 2026?

Microsoft reported a blowout quarter with revenue up 17%, operating income up 21%, adjusted diluted EPS up 24%, and its cloud generating over $50 billion in revenue, but the stock fell ~10.5% after Q2 fiscal 2026 results as investors fretted about a sharp capex ramp. The company spent $37.5 billion in the quarter on capex—two-thirds on short-lived assets such as GPUs/CPUs—bringing fiscal 2025 capex to $64.6 billion (vs. $44.5B in 2024 and $28.1B in 2023) as it scales AI infrastructure and its Maia 200 chip, added 1 GW of data-center capacity, and tied ~45% of $625 billion remaining performance obligations to OpenAI. Management argues demand outpaces supply and that AI investments can be dialed back if needed, but margins and realization of the OpenAI backlog will determine near-term financial conversion; the stock currently trades at about 29.1x forward earnings.

Analysis

Market structure: Hyperscalers (MSFT, NVDA, AMD) and GPU/CPU suppliers are near-term winners as Microsoft’s $37.5B quarter of capex forces sustained GPU demand and pricing power for Nvidia/AMD; conversely enterprise software vendors with high exposure to model migration (Oracle) are immediate losers as customers rewrite apps. The shift increases vertical integration power for hyperscalers (MSFT building Maia 200) which can compress third‑party margins over 2–5 years even as short-term supplier rents stay elevated. Risk assessment: Key tail risks are OpenAI failing to raise capital (material: 45% of MSFT RPO exposure), Maia underperforming Nvidia on TCO, or regulatory action on vertical bundling; any of these could trigger >20% moves. Immediate volatility will be earnings-driven (days/weeks), medium-term (3–12 months) depends on OpenAI funding and RPO conversion, and long-term (2–5 years) hinges on Maia adoption and margin recovery. Hidden dependency: MSFT’s commercial backlog is concentrated (counterparty risk) and capex scale reduces financial flexibility if revenue conversion lags. Trade implications: Favor semiconductor/infrastructure suppliers (NVDA, AMD) and cautiously accumulate MSFT for 12–36 month exposure while hedging near-term execution risk. Tactical pair: long NVDA vs short ORCL for 3–6 months to capture GPU tightness vs OpenAI concentration risk. Use options to manage timing: buy 3–9 month NVDA calls (25–35 delta) and implement MSFT collars (buy 9–12 month LEAPS, sell 6–9 month calls) to lock upside while limiting drawdown. Contrarian angles: The market may be over‑penalizing MSFT for capex because Microsoft can flex capex and Maia could reduce long‑run unit costs — a regime shift similar to hyperscaler capex cycles in 2010–2015 that boosted long‑term revenue/market share. Mispricing opportunity: ORCL appears overstated on downside given diversified cloud stack, but remains a tactical short if OpenAI funding misses. Watch catalysts (OpenAI fundraise within 90 days, Nvidia earnings, MSFT FYQ3 guidance) as binary re‑rating events.