ARM vs NVDA: AI Stock Comparison
Arm Holdings plc vs NVIDIA Corporation: AI exposure, key metrics, next earnings dates, upcoming catalysts and risks — every number linked to its source.
$NVDA scores higher on AI exposure (5/5 vs 3/5) under our published rubric. The score measures how directly each business is tied to AI, not which stock to buy.
⏱ Next catalyst: Not enough tracked catalysts to compare.
| AI exposure score | ⚡⚡⚡⚡⚡ 3/5 | ⚡⚡⚡⚡⚡ 5/5 |
|---|---|---|
| Shares outstanding | 1.06B as of 2026-03-31 · 20-F cover page · SEC filing | 24.10B as of 2026-08-21 · 10-Q cover page · SEC filing |
| Category | AI chips | AI chips |
| Key metrics | Revenue (latest quarter) $1.44B 6-K period ended 2026-09-30; +27% y/y · SEC filing Gross margin 97.1% Gross profit / revenue, same quarter · SEC filing Operating income $201.0M Same quarter; 14% operating margin · SEC filing | Revenue (latest quarter) $96.22B 10-Q period ended 2026-07-26; +106% y/y · SEC filing Gross margin 75.0% Gross profit / revenue, same quarter · SEC filing Operating income $63.73B Same quarter; 66% operating margin · SEC filing |
| Next earnings | Not yet announced / not on our calendar | |
| Next catalyst | Not yet announced / not on our calendar | Nov 15, 2026 – Nov 20, 2026 SC26 Supercomputing Conference · source |
| Upcoming catalysts | None tracked | Nov 15, 2026 – Nov 20, 2026 SC26 Supercomputing Conference · source Dec 8, 2026 – Dec 13, 2026 NeurIPS 2026 (Atlanta; also Sydney & Paris) · source |
| Most recent reported | Nov 4, 2026 Arm Holdings plc reports quarterly results · source Royalty growth from AI data-center and edge chips. Fiscal Q2 revenue $1.44B (+27% y/y): license and other $773M (+50%), royalties $670M (+8%); data-center royalties doubled y/y. | Nov 4, 2026 CUDA 13.5 ships with Vera Rubin general-availability support · source Software readiness milestone for NVIDIA's next GPU architecture ahead of volume deployments. |
| Key risks |
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| AI angle | Arm earns licenses and royalties on chips using its designs, including hyperscaler server CPUs paired with AI accelerators. It is also moving into making its own silicon products. | NVIDIA's data-center GPUs, NVLink/InfiniBand networking and CUDA software are the default stack for training and inference. Hyperscaler and neocloud capex plans are the main swing factor for its results. |
| Full analysis: $ARM → | Full analysis: $NVDA → |
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