Highlights

  • Street consensus on NVIDIA’s 12-month price targets averages USD 222–USD 224, with a high of USD 320 and a low of USD 140.
  • Recent notable updates include Cantor Fitzgerald at USD 300, Melius Research at USD 275, and TD Cowen at USD 235.
  • Differences in targets reflect multiple assumptions, AI training vs. inference mix, China sensitivity, and software/system revenue potential.

NVIDIA Corporation (NASDAQ:NVDA) continues to attract attention as analysts update their 12-month price targets following recent earnings, product launches, and AI adoption trends. The company’s Blackwell GPU rollout, ongoing datacenter demand, and inference-focused hardware have prompted brokers to revise their forecasts, with targets spanning a wide range. This article summarizes recent analyst updates, consensus views, and the key drivers behind divergent expectations.

NVDA Price Targets: The Range

Recent brokerage targets show a wide spread. MarketBeat reports a consensus average around USD 222, with a high of USD 320 and a low of USD 140, while TipRanks confirms a similar center of gravity near USD 224. Notable targets include:

  • Cantor Fitzgerald: USD 300
  • Melius Research: USD 275
  • Loop Capital: USD 250
  • TD Cowen: USD 235
  • Bank of America: USD 235
  • Goldman Sachs: USD 210
  • Morgan Stanley: USD 200–USD 210
  • UBS: USD 205
  • Citi: USD 190
  • Raymond James: USD 165

The wide spread reflects varying assumptions on AI adoption, supply-chain timing, and geopolitical factors, particularly China exposure.

Broker Notes and Rationale

  • Bank of America (USD 235 Buy) noted multi-year AI capex and Blackwell uptake, citing datacenter growth and gross margin resilience. Near-term risk points included China revenue cadence and hyperscaler digestion.
  • Goldman Sachs (USD 210 Buy) highlighted Blackwell shipments and inference adoption, emphasizing system-level revenue through NVLink/NVSwitch.
  • Morgan Stanley (USD 200–USD 210 Overweight) applied a 33× P/E on 2026 EPS, focusing on earnings compounding rather than multiple expansion.
  • UBS (USD 205 Buy) underlined NVDA’s role in AI orchestration, with datacenter demand persisting amid emerging alternatives.
  • TD Cowen (USD 235 Buy) lifted its target on smooth product-cycle handoffs and software/system monetization, noting China guidance risks.
  • Truist (USD 228 Buy) applied ~35× CY2026 EPS, framing NVDA as an AI company with TAM expansion across training and inference.
  • Citi (USD 190 Buy) incorporated a sovereign-AI thesis, projecting USD 563B datacenter market by 2028, with NVDA participation across national AI initiatives.
  • Melius Research (USD 275 Buy) argued that inference unit economics are improving faster than expected, supporting prolonged AI-driven hardware cycles.
  • Cantor Fitzgerald (USD 300 Overweight) based its bull-case target on Blackwell rack-scale systems, software expansion, and hyperscaler capex stickiness.

What Drives Divergent Targets

  1. Forward Multiple Assumptions: Firms differ between 33×–35× P/E or richer out-year EPS projections.
  2. Training vs. Inference Mix: Aggressive inference ramps extend hardware and system revenue cycles.
  3. Sovereign-AI & Enterprise Uptake: Some models treat national AI programs as incremental demand.
  4. China Sensitivity: Conservative views haircut exposure, while bulls assume offsetting global demand.
  5. Competitive Encroachment: Custom/merchant silicon options keep some targets restrained near USD 200–USD 215.

The consensus shows NVDA price targets clustered in the low USD 220s, while bull-case scenarios approach USD 300. Differences largely reflect assumptions about AI deployment, software/system monetization, geopolitical risk, and supply-chain execution timelines.