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NVIDIA Corporation (NVDA) Stock Analysis

SemiconductorsGPU & AI Chip Design
$208.65as of 2026-06-22

BriMind AI Score

Proprietary
85
Strong
Price CAGR
67.8%
1Y Return
+46.5%
Analyst Upside
+41.9%
Rev Growth
85.2%

Score based on historical price CAGR, revenue growth, analyst upside, and valuation factors. Updated daily.

BriMind 1-Year Price Target

$268.63+28.7% potential
Bear Case
$150.83
Bull Case
$331.25
Model Confidence90%

BriMind AI combines DCF, momentum, and analyst consensus to project a 12-month price target.

About NVIDIA Corporation

NVIDIA designs graphics processing units (GPUs) and system-on-chip units for gaming, professional visualization, data centers, and automotive markets. The company has become the dominant supplier of AI training and inference hardware, with its data center segment now representing over 80% of total revenue. NVIDIA's CUDA software ecosystem creates a deep moat that makes it difficult for customers to switch to competing hardware.

How NVIDIA Makes Money

NVIDIA designs chips and licenses its CUDA software platform, outsourcing manufacturing to TSMC. Revenue comes primarily from Data Center (~87% of revenue — AI training/inference GPUs like H100, B200, and GB200), Gaming (~10% — GeForce GPUs), and Professional Visualization and Automotive (~3%). The company sells both individual GPUs and complete AI systems (DGX, HGX), with average selling prices that have increased dramatically with each AI generation.

NVIDIA Revenue & Profitability Breakdown

This chart shows how NVIDIA's revenue flows through to profit. Each row deducts a layer of costs: first the direct cost of making products/services (Cost of Revenue), then operating expenses like marketing and R&D, then taxes. What remains at the bottom is net income — the actual profit shareholders own. High gross and net margins indicate a business with strong pricing power and efficiency.

Revenue
$253.49B
Cost of Revenue
-$65.54B
Gross Profit
$187.95B74.1% margin
Operating Expenses
-$21.67B
Operating Income
$166.28B65.6% margin
Tax & Other
-$6.67B
Net Income
$159.61B63.0% margin
Gross Margin
74.1%
Operating Margin
65.6%
Net Margin
63.0%
EBITDA Margin
65.3%

Key Financial Metrics

A snapshot of the company's valuation, growth, profitability, and financial health. Key things to look at: P/E ratio measures how much you pay for $1 of earnings (lower = cheaper, but fast-growing companies command higher P/E); Free Cash Flow is the cash left after running the business — companies with strong FCF can buy back shares, pay dividends, or invest; Debt/Equity shows how leveraged the company is (high debt can be risky); Return on Equity tells you how efficiently the company generates profit from shareholders' money.

Market Cap
$5.10T
Enterprise Value
$5.07T
P/E (Trailing)
32.26
P/E (Forward)
16.55
PEG Ratio
0.65
EV / EBITDA
30.63
Price / Sales
23.66
Price / Book
32.62
Revenue
$253.49B
Revenue Growth
85.2%
Earnings Growth
214.5%
EBITDA
$165.51B
EPS (Trailing)
$6.52
EPS (Forward)
$12.66
Gross Margin
74.1%
Operating Margin
65.6%
Net Margin
63.0%
Return on Equity
114.3%
Return on Assets
52.7%
Free Cash Flow
$46.34B
Total Cash
$53.17B
Total Debt
$12.81B
Debt / Equity
6.55
Current Ratio
3.44
Quick Ratio
2.14
Beta
2.20
Dividend Yield
0.5%
Payout Ratio
0.6%
Insider Ownership
4.0%
Inst. Ownership
70.8%
Short % Float
1.3%
Book Value / Share
$8.07

Wall Street Analyst Consensus

Professional analysts at investment banks set 12-month price targets after researching the company's earnings, competitive position, and industry trends. Strong Buy / Buy means the majority expect meaningful upside. Hold means analysts see fair value near the current price — not a sell signal, but limited near-term upside expected. The mean target is the average of all analyst price targets; the range shows where the most optimistic and most cautious analysts stand.

Consensus RatingStrong Buy(58 analysts)
SellStrong Buy
Low Target$180.00-13.7%
Mean Target$298.93+43.3% upside
High Target$500.00+139.6%

Intrinsic Value Estimates for NVDA

Intrinsic value is what a stock is truly worth based on the company's fundamentals — independent of what the market currently prices it at. We use multiple models because no single formula is perfect: each captures different aspects of a business. If multiple models agree the stock is undervalued, that convergence is a stronger signal. A stock trading well below its intrinsic value may be a bargain; one far above may carry more risk.

Graham Number
$34.41
-83.5% vs current
Benjamin Graham's formula: √(22.5 × EPS × Book Value). A conservative floor value for stable, profitable companies. Works best for value-oriented businesses.
DCF Model (10yr)
$40.17
-80.7% vs current
Discounts 10 years of projected free cash flow back to today's dollars (5% growth, 10% discount rate). Best for companies generating consistent cash.
P/E Based (15× trailing)
$97.80
-53.1% vs current
Multiplies trailing 12-month earnings per share by 15× — a historically average P/E for the stock market. Simple but ignores future growth.
P/E Based (15× forward)
$189.86
-9.0% vs current
Multiplies next year's estimated earnings per share by 15×. More forward-looking; useful for high-growth companies where current earnings understate potential.
Fair Value Range
$34.41 – $189.86
Average Estimate
$90.56
Potential Downside
-56.6%

⚠️ Intrinsic value estimates use simplified models (Graham, DCF, P/E) and conservative assumptions. They should be used as one input among many — not as sole buy/sell guidance. For advanced analysis, see the full platform.

NVDA Investment Case: Bull vs Bear

Every investment has two sides. The bull case outlines the key reasons the stock could outperform — competitive advantages, growth catalysts, and market tailwinds. The bear case highlights the most significant risks that could cause the investment to underperform. Good investors read both sides carefully before deciding. A strong bull case with manageable bear risks typically makes for a more compelling investment.

Bull Case (Reasons to Buy)

  • AI infrastructure spending is in the early innings — hyperscalers (Microsoft, Google, Meta, Amazon) are each spending $50-80B+ annually on AI capex, with NVIDIA capturing the majority of GPU spend.
  • The CUDA software moat is nearly impossible to replicate — millions of developers, thousands of optimized libraries, and 15+ years of ecosystem investment create massive switching costs.
  • Each GPU generation (Hopper → Blackwell → Rubin) delivers 2-3x performance improvements, driving rapid upgrade cycles even from existing customers.
  • Expanding TAM from training-only to inference, sovereign AI, enterprise AI, and robotics (Omniverse, Isaac) creates multiple new growth vectors.

Bear Case (Key Risks)

  • Customer concentration is extreme — top 4 hyperscalers represent ~50% of data center revenue, giving them significant negotiating leverage.
  • Custom silicon (Google TPU, Amazon Trainium, Microsoft Maia) threatens NVIDIA's share as hyperscalers seek to reduce dependence on a single supplier.
  • Current valuation prices in years of hypergrowth — any sign of demand plateauing or inventory digestion could cause a sharp correction.
  • Export restrictions on advanced AI chips to China have already reduced the addressable market and could expand to other regions.

What to Watch: NVDA Key Metrics

Data Center revenue growth
Gross margin trend
Blackwell/Rubin ramp
Customer concentration
China revenue impact

NVDA Stock — Frequently Asked Questions

Compare NVDA with Peers

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TSM vs NVDATSMC vs NVIDIA — Chip Maker vs Chip Designer
NVDA vs TSMNVIDIA vs TSMC — AI Chip Designer vs AI Chip Manufactur
ARM vs NVDAARM Holdings vs NVIDIA — Chip Architecture vs AI Chip D
AVGO vs NVDABroadcom vs NVIDIA — Custom AI ASIC vs GPU for AI Infra
QCOM vs NVDAQualcomm vs NVIDIA — Mobile AI vs Data Center AI
NVDA vs GOOGLNVIDIA vs Google — GPU Marketplace vs Custom TPU Strate

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