Is Nvidia Still Worth Buying After a 1,240% Run in 5 Years?

Nvidia shares are up more than 1,200% over the past five years; Matt Frankel (CFP) argues in a March 21, 2026 video that Nvidia could still be cheap (stock prices referenced were morning prices of March 20, 2026). The Motley Fool’s Stock Advisor omitted Nvidia from its current top-10 list despite citing strong historical performance (Stock Advisor average return 898% vs S&P 500 183% as of March 24, 2026). Disclosures: Frankel has no position in the stocks mentioned; The Motley Fool holds and recommends Nvidia and may receive affiliate compensation.

Analysis

NVIDIA’s dominant position in accelerator compute creates a cascading set of second-order winners: hyperscalers and cloud margin capture (higher revenue per rack), memory suppliers (spot demand for HBM and DRAM that can sustain ASPs), and software vendors that can monetize model deployment. The architectural moat (CUDA + optimized pipelines) increases switching costs such that a small share gain in datacenter budgets translates into outsized FCF flow — think single-digit share gains turning into mid-teens EPS tailwinds over 12–36 months.

Key near-term risks are lumpy capex cycles and demand concentration: a 10–20% pullback in hyperscaler model training spend within a single fiscal year can cut NVDA datacenter growth materially and expose inventory risk across the supply chain (TSMC lead time + ASML capacity creates slow destocking dynamics of 6–12 months). Geopolitical/export controls remain a binary downside — a tightening that redirects advanced AI demand into alternative architectures would both compress ASPs and accelerate regionalized ecosystems.

Contrarian overlay: consensus underprices NVDA’s optionality in software/recurring monetization, but overprices perpetual ASP and unit-demand growth without accounting for model-specific silicon optimizations and customer bargaining power. Positioning is crowded: options skew and low listed short interest imply asymmetric risk on drawdowns; treat current narrative as priced for perfection and prefer structures that capture upside while limiting black-swan downside over multi-quarter horizons.

Key Decisions for Investors

• Pair trade (6–12 months): Long NVDA equity (net 1.0% portfolio) / Short INTC (net 0.6% portfolio) to express AI share gain while hedging macro beta. Target outcome: NVDA +30% / INTC flat → +~0.9% portfolio; stress case: NVDA -25% / INTC +10% → ~-0.9% (use 8–12% stop-loss on pair).
• Defined-risk options (12 months): Buy NVDA 12-month call spread sized to 2% of portfolio notional (buy 40% OTM, sell 90% OTM) financed with sale of nearer-term calls to halve premium. R/R: max loss = premium (~2% notional), payoff = 3–6x if NVDA rallies >35% within 12 months.
• Income-with-protection (3–9 months roll): Sell NVDA 3-month put spread (20–30% OTM) for premium, and buy a 12-month deeper OTM put (40% OTM) as tail protection. Collect near-term yield while capping long-dated crash exposure; good carry if earnings/seasonal flows remain supportive.
• Tactical long NFLX (6–12 months): Small tactical long (0.5% portfolio) via Jan-2027 calls or equity to diversify exposure to secular consumer OTT growth vs tech-capex cyclicality. Rationale: asymmetric payoff to advertising/subscriber upside while acting as a lower-volatility complement to NVDA-heavy exposure.