3 High-Growth Stocks Down 25% to Buy Before the 2026 Tech Rebound

Microsoft is trading more than 30% below its all-time high, and the author highlights Microsoft, Meta Platforms and Broadcom as rebound buys after each has fallen ~25%+. Meta plans very large capex of $115B–$135B this year while reporting Q4 revenue growth of 24% YoY; the stock trades near 19x forward earnings. Broadcom's AI semiconductor division generated $8.4B in Q1 FY2026 (annualized ≈ $34B) and CEO Hock Tan projects custom AI chips could reach $100B in revenue by end-2027.

Analysis

Broadcom's move into bespoke accelerator silicon is not just a product win — it forces hyperscalers into multi-year locking decisions (architecture + software + supply). That lock-in creates second-order winners: foundry capacity suppliers, long-lead component vendors, and systems integrators who can bundle hardware+services; conversely it raises switching costs that accentuate the downside for any vendor that misses a design cycle.

For Microsoft and Meta the key bifurcation is adoption cadence versus optionality premium. Enterprise buyers can delay migrations even as vendors push integrated AI stacks; slower corporate procurement cycles would compress near-term multiples without changing long-run addressable markets, so calendar risk (6–18 months) matters more than permanent market-share loss. Regulatory and antitrust scrutiny is another asymmetric kicker — forced unbundling or restrictions on preferential procurement could re-open competition corridors faster than market consensus expects.

From a liquidity and positioning angle, the current sentiment window is a market-clearing event that creates favorable entry points but also concentrates risk into a short list of catalysts (earnings, hyperscaler RFPs, regulatory filings). Tactical option structures that cap downside while leaving upside convexity capture both the uncertain timing and binary nature of design-win newsflow; outright equity exposure should be scaled to event risk and rebalanced post-catalyst execution (3–12 months).

Key Decisions for Investors

• Long AVGO (size 3–5% NAV) with 9–12 month horizon funded by buying 9–12M 10% OTM call spreads (buy calls 10% OTM / sell calls 30–40% OTM) to cap cost; target 30–60% upside if custom-silicon RFPs convert, stop-loss if trade falls 18% from entry or if company guidance misses sequential gross-margin inflection.
• Pair trade: Long AVGO / Short NVDA (notional 1:0.6) for 6–12 months to express share shift in hyperscaler spend; hedge ratio sized to equalize 6‑month historical beta. Use options to limit tail risk (buy AVGO 9M calls, buy NVDA 9M puts) if unable to carry short stock — expected payoff asymmetric if hyperscalers sign multi-year contracts.
• Long MSFT via 6–9 month call spreads (buy 10% OTM, sell 25–30% OTM) representing a low-cost take on re-rate from enterprise AI adoption; size 2–4% NAV. Exit or take profits on re-acceleration in bookings/ARR beat or if multiple expansion of ≥20% occurs; cut if enterprise spend guidance weakens sequentially.
• Long META via 12–18 month LEAPS (buy 12–18M ITM calls) financed by selling 3–6 month out-of-the-money calls to capture carry — suitable for investors who accept capex risk for ad-business optionality. Reduce position if incremental ROI per dollar of AI capex fails to show improvement across two consecutive quarters.