META vs NVDA Stock Comparison: AI Score, Valuation, Performance and Upside
Meta and NVIDIA sit on opposite sides of the same AI capex boom: Meta is spending tens of billions on NVIDIA hardware to power its ad-ranking and AI products, while NVIDIA supplies the chips that make that spending possible. Meta offers exposure to AI monetization through advertising, while NVIDIA offers exposure to the infrastructure layer that all AI buildouts depend on.
This comparison is really a bet on where AI value accrues — the application/customer layer (Meta) or the infrastructure/supplier layer (NVIDIA). Meta's AI spending must eventually show up as advertising efficiency gains, while NVIDIA's growth depends on hyperscalers like Meta continuing to expand capex rather than plateauing or shifting to custom silicon.
NVDA holds the edge across 5 of 5 key metrics in this comparison. NVDA leads on both 1-year return (+37.92%) and forward P/E quality (14.21x vs 17.64x for META), 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 meaningfully more upside for NVDA (+48.66%) than for META (+22.38%).
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 direct exposure to digital advertising with a proven, highly profitable business model
- Believe AI-driven ad targeting and content ranking will keep improving Meta's monetization per user
- Are comfortable with heavy capex spending as long as free cash flow stays strong
- Prefer a business with a clear, cash-generative core versus reliance on a single supplier relationship
- Want the purest exposure to overall AI infrastructure spending across every hyperscaler, not just one
- Believe demand for AI compute will keep outpacing supply for the foreseeable future
- Are comfortable with customer-concentration risk in exchange for dominant market share and margins
- See CUDA's software lock-in as a durable moat against competing chip architectures
| Metric | META | NVDA |
|---|---|---|
| AI scorei | 52.2 | 88.3 |
| AI ranki | #395 | #4 |
| Latest closei | $616.77 | $230.36 |
| 1M returni | +4.17% | +2.86% |
| 6M returni | -4.73% | +26.12% |
| 1Y returni | -18.03% | +37.92% |
How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?
| Period | META | NVDA |
|---|---|---|
| 1Y ago | $8.2K (-18.0%) started 2025-09-08 | $13.69K (+36.9%) started 2025-09-08 |
| 5Y ago | $16.47K (+64.7%) started 2021-09-09 | $104.26K (+942.6%) started 2021-09-09 |
| 10Y ago | $48.98K (+389.8%) started 2016-09-09 | $1.6M (+15896.7%) started 2016-09-09 |
Hypothetical — past performance does not guarantee future results.
| Metric | META | NVDA |
|---|---|---|
| Market capi | $1.57T | $5.25T |
| Trailing P/Ei | 23.26 | 27.47 |
| Forward P/Ei | 17.64 | 14.21 |
| Price/Salesi | 10.30 | 23.66 |
| EV/Revenuei | 6.98 | 17.23 |
| Analyst targeti | $754.77 | $323.42 |
| Target upsidei | +22.38% | +48.66% |
| Metric | META | NVDA |
|---|---|---|
| Revenue growthi | 28.00% | 105.90% |
| Earnings growthi | -13.40% | 127.80% |
| EPS growthi | -13.40% | +127.80% |
| FCF margini | +9.44% | +13.80% |
| Operating margini | 34.83% | 66.24% |
| Profit margini | 29.83% | 63.66% |
| ROIC proxyi | 29.85% | 117.21% |
| Return on equityi | 29.85% | 117.21% |
| Dividend yieldi | 0.34% | 0.46% |
| Betai | 1.24 | 2.21 |
| Debt/equityi | 43.00 | 16.97 |
| Current ratioi | 2.23 | 4.59 |
| Quick ratioi | 1.99 | 2.92 |
Over the past year, META and NVDA have moved weakly in the same direction (correlation of 0.30), 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 | META | NVDA |
|---|---|---|---|
| 1Y | Growthi | -18.02% | +36.87% |
| CAGRi | -18.04% | +36.93% | |
| Volatilityi | 38.86% | 38.00% | |
| Sharpe ratioi | -0.43 | 0.90 | |
| Sortino ratioi | -0.60 | 1.35 | |
| Max drawdowni | 32.62% | 20.22% | |
| Current drawdowni | 20.95% | 2.28% | |
| Avg drawdowni | 17.88% | 8.77% | |
| Ulcer Indexi | 19.31% | 10.09% | |
| Max daily dropi | 11.33% | 6.20% | |
| Max wkly dropi | 16.52% | 10.72% | |
| 5Y | Growthi | +63.94% | +940.68% |
| CAGRi | +10.40% | +59.79% | |
| Volatilityi | 44.88% | 52.02% | |
| Sharpe ratioi | 0.35 | 1.08 | |
| Sortino ratioi | 0.50 | 1.67 | |
| Max drawdowni | 76.52% | 66.34% | |
| Current drawdowni | 21.93% | 2.28% | |
| Avg drawdowni | 23.37% | 16.72% | |
| Ulcer Indexi | 31.03% | 24.20% | |
| Max daily dropi | 26.39% | 16.97% | |
| Max wkly dropi | 30.98% | 22.20% | |
| 10Y | Growthi | +387.55% | +15636.29% |
| CAGRi | +17.17% | +65.87% | |
| Volatilityi | 39.23% | 50.05% | |
| Sharpe ratioi | 0.49 | 1.17 | |
| Sortino ratioi | 0.70 | 1.79 | |
| Max drawdowni | 76.74% | 66.34% | |
| Current drawdowni | 21.93% | 2.28% | |
| Avg drawdowni | 16.66% | 15.47% | |
| Ulcer Indexi | 24.16% | 22.78% | |
| Max daily dropi | 26.39% | 18.76% | |
| Max wkly dropi | 30.98% | 28.36% |
| Category | META | NVDA |
|---|---|---|
| Company | Meta Platforms, Inc. | NVIDIA Corporation |
| Sector | Communication Services | Technology |
| Industry | Internet Content & Information | Semiconductors |
| Core business | Social media and advertising across Facebook, Instagram, WhatsApp, and Threads, with heavy capital spending on AI infrastructure to improve ad targeting, content ranking, and Reality Labs / AI assistant products. | Designs GPUs and AI accelerators that power the majority of AI training and inference workloads globally, plus networking hardware and software (CUDA) that lock customers into its ecosystem. |
| Investor focus | Ad revenue growth, engagement trends, AI-driven ad targeting improvements, capex intensity for AI data centers, and Reality Labs losses. | Data center revenue growth, GPU demand from hyperscalers, gross margin trends, competitive threats from custom ASICs, and export/geopolitical restrictions. |
- Massive, highly profitable advertising business with billions of daily users across its app family
- AI investment directly improves ad targeting and engagement, showing up quickly in revenue
- Strong free cash flow generation despite heavy capex, funding buybacks and AI infrastructure simultaneously
- Dominant market share in AI training hardware with a deeply entrenched software moat (CUDA)
- Meta is one of its largest customers, giving visibility into sustained demand from hyperscaler capex cycles
- High gross margins and pricing power from being the default choice for cutting-edge AI compute
- Capex growth rate for AI data centers and GPU clusters outpacing near-term revenue
- Reality Labs losses continuing to weigh on overall operating margin
- Regulatory and privacy pressure affecting ad targeting effectiveness
- Customer concentration — a handful of hyperscalers (including Meta) drive an outsized share of data center revenue
- Hyperscalers developing custom AI chips (in-house ASICs) to reduce NVIDIA dependency over time
- Cyclicality risk if AI infrastructure capex growth decelerates faster than expected
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