NVDA vs AVGO: NVIDIA vs Broadcom Stock Comparison: AI Score, Valuation, Performance and Upside
NVIDIA dominates AI with merchant GPUs and the CUDA ecosystem, while Broadcom wins custom AI accelerator contracts with hyperscalers and adds VMware's enterprise software recurring revenue. NVIDIA has higher AI revenue growth; Broadcom has more diversified revenue with software, networking, and custom silicon.
Use this NVDA vs AVGO comparison to evaluate two different ways to invest in the AI chip buildout. NVIDIA offers the purest AI GPU exposure with a software moat; Broadcom offers AI custom silicon exposure plus enterprise software diversification through VMware.
NVDA holds the edge across 5 of 5 key metrics in this comparison. NVDA leads on both 1-year return (+27.18%) and forward P/E quality (14.21x vs 18.67x for AVGO), a relatively favorable combination of momentum and valuation. NVDA leads on both revenue growth (105.90%) and operating margin (66.24%), suggesting a stronger fundamental setup on both dimensions. Analyst consensus implies similar upside for both: +48.66% for NVDA and +46.92% for AVGO.
Human Wall Street analysts' price targets, typically implying a ~12-month view — a separate signal from this site's own AI Prediction Signal further down the page, which is a 5-/30-day machine-learning forecast based on price history alone.
- Want the most direct exposure to AI training and inference GPU demand
- Believe CUDA's software ecosystem creates a durable competitive moat that custom ASICs cannot replicate
- Are comfortable with a premium valuation for the dominant AI infrastructure platform
- Want exposure to sovereign AI and edge AI as emerging growth vectors beyond hyperscaler data centers
- Prefer a more diversified AI play with custom silicon, networking, and enterprise software revenue
- Value VMware's recurring software revenue as a stabilizer during semiconductor cycles
- Believe hyperscaler custom AI chip demand will grow faster than merchant GPU demand
- Want a strong dividend and capital return program alongside AI growth exposure
| Metric | NVDA | AVGO |
|---|---|---|
| AI scorei | 88.8 | 77.4 |
| AI ranki | #3 | #17 |
| Latest closei | $225.07 | $352.81 |
| 1M returni | +7.35% | -0.78% |
| 6M returni | +34.35% | +17.34% |
| 1Y returni | +27.18% | +3.98% |
How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?
| Period | NVDA | AVGO |
|---|---|---|
| 1Y ago | $12.67K (+26.7%) started 2025-09-25 | $10.5K (+5.0%) started 2025-09-25 |
| 5Y ago | $104.3K (+943.0%) started 2021-09-27 | $81.74K (+717.4%) started 2021-09-27 |
| 10Y ago | $1.45M (+14358.5%) started 2016-09-26 | $363.07K (+3530.7%) started 2016-09-26 |
Hypothetical — past performance does not guarantee future results.
| Metric | NVDA | AVGO |
|---|---|---|
| Market capi | $5.25T | $1.73T |
| Trailing P/Ei | 27.47 | 46.05 |
| Forward P/Ei | 14.21 | 18.67 |
| Price/Salesi | 23.66 | N/A |
| EV/Revenuei | 17.23 | 19.79 |
| Analyst targeti | $323.42 | $531.85 |
| Target upsidei | +48.66% | +46.92% |
| Metric | NVDA | AVGO |
|---|---|---|
| Revenue growthi | 105.90% | 85.50% |
| Earnings growthi | 127.80% | 215.30% |
| EPS growthi | +127.80% | +215.30% |
| FCF margini | +13.80% | +34.34% |
| Operating margini | 66.24% | 54.31% |
| Profit margini | 63.66% | 42.94% |
| ROIC proxyi | 117.21% | 44.25% |
| Return on equityi | 117.21% | 44.25% |
| Dividend yieldi | 0.46% | 0.72% |
| Payout ratioi | 3.54% | 32.40% |
| Dividend growth streaki | No increase yet | No increase yet |
| Betai | 2.21 | 1.46 |
| Debt/equityi | 16.97 | 59.60 |
| Current ratioi | 4.59 | 2.50 |
| Quick ratioi | 2.92 | 2.15 |
Over the past year, NVDA and AVGO have moved moderately in the same direction (correlation of 0.54), based on daily returns.
Lower drawdown and smaller single-period drops generally indicate a smoother ride, though they do not guarantee lower future risk.
| Period | Metric | NVDA | AVGO |
|---|---|---|---|
| 1Y | Growthi | +26.66% | +4.97% |
| CAGRi | +26.71% | +4.98% | |
| Volatilityi | 37.71% | 46.43% | |
| Sharpe ratioi | 0.70 | 0.24 | |
| Sortino ratioi | 1.04 | 0.34 | |
| Max drawdowni | 20.22% | 29.55% | |
| Current drawdowni | 4.53% | 26.74% | |
| Avg drawdowni | 9.03% | 14.15% | |
| Ulcer Indexi | 10.20% | 16.78% | |
| Max daily dropi | 6.20% | 12.59% | |
| Max wkly dropi | 10.72% | 22.35% | |
| 5Y | Growthi | +941.06% | +654.73% |
| CAGRi | +59.85% | +49.88% | |
| Volatilityi | 51.99% | 44.38% | |
| Sharpe ratioi | 1.08 | 1.03 | |
| Sortino ratioi | 1.67 | 1.62 | |
| Max drawdowni | 66.34% | 41.15% | |
| Current drawdowni | 4.53% | 26.74% | |
| Avg drawdowni | 16.72% | 10.68% | |
| Ulcer Indexi | 24.19% | 13.94% | |
| Max daily dropi | 16.97% | 17.40% | |
| Max wkly dropi | 22.20% | 22.35% | |
| 10Y | Growthi | +14123.11% | +2626.30% |
| CAGRi | +64.20% | +39.19% | |
| Volatilityi | 50.04% | 39.90% | |
| Sharpe ratioi | 1.15 | 0.92 | |
| Sortino ratioi | 1.76 | 1.37 | |
| Max drawdowni | 66.34% | 48.30% | |
| Current drawdowni | 4.53% | 26.74% | |
| Avg drawdowni | 15.49% | 8.67% | |
| Ulcer Indexi | 22.77% | 11.97% | |
| Max daily dropi | 18.76% | 19.91% | |
| Max wkly dropi | 28.36% | 31.75% |
| Category | NVDA | AVGO |
|---|---|---|
| Company | NVIDIA Corporation | Broadcom Inc. |
| Sector | Technology | Technology |
| Industry | Semiconductors | Semiconductors |
| Core business | Designer of GPUs, AI accelerators, networking hardware (InfiniBand, Spectrum-X), and AI software platforms (CUDA, NIM) for data center, gaming, automotive, and edge AI markets. | Diversified semiconductor and infrastructure software company offering custom AI accelerators (XPUs), networking ASICs, enterprise software (VMware), and broadband/wireless chips. |
| Investor focus | Data center GPU demand cycle, Blackwell/next-gen ramp, sovereign AI buildouts, networking attach rates, and software/services monetization. | Custom AI accelerator wins with hyperscalers, VMware integration and margin expansion, networking silicon share gains, and capital return via dividends and buybacks. |
- Dominant AI training and inference GPU market share with deep CUDA software moat
- Networking portfolio (InfiniBand, Spectrum-X) captures additional data center spend per cluster
- Software ecosystem (CUDA, TensorRT, NIM microservices) creates high switching costs for enterprise AI developers
- Leading custom AI accelerator (XPU) partnerships with Google, Meta, and other hyperscalers designing their own AI chips
- VMware acquisition transforms Broadcom into an enterprise software compounder with high recurring revenue
- Dominant networking silicon position (Memory fabric, Memory chips, switching ASICs) essential for AI cluster connectivity
- Customer concentration — hyperscaler capex cycles can create lumpy demand
- Custom ASIC competition from Broadcom, Marvell, and in-house hyperscaler chips eroding GPU TAM
- Elevated valuation requires sustained hypergrowth execution across product cycles
- Custom ASIC revenue concentration — a small number of hyperscaler customers drive most AI chip revenue
- VMware integration execution risk and potential customer churn from pricing changes
- Competition from NVIDIA's expanding networking portfolio and merchant silicon alternatives
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