Troiana Signal
NVDA · NASDAQ

NVIDIA

The compute layer beneath the modern AI economy.

Latest available $225.51 −3.36 (−1.47%) USD · Twelve Data · cached
Legal name
NVIDIA Corporation
Sector
Semiconductors
Headquarters
Santa Clara, California
Founded
1993

Price history

October 2016–September 2026 · monthly split-adjusted closes · USD

Updated 23 Sep 2026
Period return+12,559.6%
Annualised+62.9%
Monthly-close low$1.78
Monthly-close high$225
NVDA monthly closing-price historySplit-adjusted monthly closing prices from 1 October 2016 to 1 September 2026. Focused vertical scale.$243$182$122$60.81$0.00Oct 2016Apr 2019Oct 2021Mar 2024Sep 2026
Focused vertical scale. The series uses split-adjusted monthly closes and excludes dividends. Historical performance does not predict future returns. Source: Twelve Data.

The AI thesis

NVIDIA designs accelerated-computing platforms spanning GPUs, networking, systems and software. Its hardware and CUDA ecosystem have become core infrastructure for training and serving many large AI models.

The investment case is tied to whether demand for accelerated computing keeps expanding from frontier-model training into inference, enterprise workloads, robotics and sovereign infrastructure—and whether NVIDIA can preserve its platform advantage as customers and competitors develop alternatives.

Why it matters

  1. Its GPUs are a common denominator across frontier-model training and high-volume inference.
  2. Networking, systems and software let NVIDIA sell a platform rather than an isolated chip.
  3. Developer adoption of CUDA creates switching costs that reach beyond hardware benchmarks.

10-year price scenarios

Illustrative annual compounding from $226 · no dividends · no probability assigned

Model, not target
These are not analyst forecasts. They show what constant annual price changes of −5%, +8% and +15% would produce. Real prices do not move in smooth lines.
Cautious −5% / year Base +8% / year Upside +15% / year
NVDA ten-year price scenariosIllustrative annual compounding scenarios. These are mathematical paths, not analyst forecasts or price targets.$985$739$493$246$0.00Year 0Year 2Year 4Year 6Year 8Year 10Cautious $135Base $487Upside $912
Zero-based scale. Values are nominal share-price illustrations before dividends, taxes, inflation, dilution or future stock splits.
ScenarioAnnual changeYear 1Year 3Year 5Year 10
Cautious −5% $214$193$175$135
Base +8% $244$284$331$487
Upside +15% $259$343$454$912

What to watch

  • The balance between training demand and inference demand.
  • Supply, packaging, memory and power constraints across the AI factory stack.
  • Adoption of newer architectures and the pace of the product cycle.
  • The durability of CUDA against custom silicon and competing software ecosystems.

Risks & constraints

  • Large customers are designing more of their own accelerators.
  • Export controls can constrain access to important markets.
  • AI infrastructure spending is concentrated among a small number of buyers.
  • Semiconductor cycles can reverse quickly when capacity catches demand.

Primary sources

Use company and regulatory sources to verify announcements, financial statements and risk disclosures.