AAPL vs NVDA: How Apple Inc. and NVIDIA Compare (2026)

Short answer

AAPL (Apple Inc.) and NVDA (NVIDIA) are often compared because they share investment themes, but they are different businesses. Apple (AAPL) designs and sells consumer hardware, software, and services. NVIDIA (NVDA) designs the graphics processing units (GPUs) and the software stack that have become the standard compute platform for modern artificial intelligence. Neither is universally better: pick by which thesis you are expressing and what you already own. This is descriptive, not a recommendation.

What does Apple Inc. (AAPL) do?

Apple (AAPL) designs and sells consumer hardware, software, and services. The iPhone is its largest product by revenue, complemented by Mac computers, iPad tablets, and the wearables category (Apple Watch, AirPods). The fastest-growing and highest-margin part of the business is Services: the App Store, iCloud, Apple Music, Apple TV+, AppleCare, advertising, and payments. Apple's strategy centers on a tightly integrated ecosystem where hardware, the operating systems (iOS, macOS, watchOS), and services reinforce each other and create high switching costs. The company designs its own silicon (the A-series and M-series chips) and outsources manufacturing primarily to partners like TSMC and Foxconn. Founded in 1976 and headquartered in Cupertino, California, Apple is one of the most valuable companies in the world and returns enormous cash to shareholders through buybacks and a growing dividend.

Full AAPL guide

What does NVIDIA (NVDA) do?

NVIDIA (NVDA) designs the graphics processing units (GPUs) and the software stack that have become the standard compute platform for modern artificial intelligence. The company operates across four reporting segments. Data Center sells GPUs to the major cloud providers (Microsoft Azure, AWS, Google Cloud, Oracle, Meta) and to AI labs (OpenAI, Anthropic, xAI) for training and running large language models; this is now roughly 85% of revenue. Gaming covers GeForce consumer GPUs, NVIDIA's original core market. Professional Visualization sells workstation GPUs for design and simulation, and Automotive ships the DRIVE platform for assisted and autonomous driving. NVIDIA also builds CUDA, the proprietary software platform that lets developers write code that runs on its GPUs and that AI frameworks like PyTorch, TensorFlow, and JAX target first. Founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, headquartered in Santa Clara, California, and led by co-founder and CEO Jensen Huang, NVIDIA is one of the most valuable companies in the world. It designs its chips and outsources manufacturing primarily to TSMC.

Full NVDA guide

AAPL vs NVDA: how do they differ?

Both fit overlapping themes, but they are not interchangeable. Apple Inc. is best understood through its own drivers, and NVIDIA through its. The useful comparison is which set of drivers and risks you want exposure to.

  • AAPL drivers: Services growth and margin; Installed base and switching costs.
  • NVDA drivers: Continued AI infrastructure dominance; Beyond hyperscalers: sovereign AI and enterprise.

AAPL vs NVDA: how they make money and what they cost

AAPL. Apple trades at a premium multiple for a hardware-rooted business, justified by its Services growth, enormous and consistent free cash flow, and aggressive buybacks that steadily shrink the share count. The valuation embeds confidence in installed-base durability; multiple compression risk rises if iPhone growth stalls or Services regulation bites.

NVDA. The P/E of around 50x is the headline most investors focus on, well above the S&P 500's roughly 22x. The market tolerates it because of the combination of triple-digit revenue growth, 60%+ operating margins, and a software moat (CUDA) that competitors keep failing to match. The risk is symmetrical: if hyperscaler capex slows or the AI buildout decelerates, the valuation compresses very quickly. All figures are approximate as of early 2026 and refresh quarterly; verify against NVIDIA's investor relations page or your broker.

Headline figures (approximate, early 2026): AAPL shows revenue (ttm) ~$400 billion, operating margin ~30%, net income (ttm) ~$100 billion; NVDA shows revenue (fy2026 ending jan) ~$130 billion, having grown 100%+ in recent quarters, operating margin ~63%, exceptionally high for a hardware company, net income ~$70 billion. A cheaper-looking multiple is not automatically the better buy: a richer valuation can be justified by faster growth, and a lower one can reflect real risk. Weigh the multiple against how fast each business is actually compounding.

Which fits which kind of investor

Both share a theme, but they suit different temperaments. Apple Inc.'s case leans on services growth and margin, and NVIDIA's on continued ai infrastructure dominance. A faster-growing, richer-valued name usually swings harder, so it suits a longer horizon and a higher tolerance for volatility; a steadier, more cash-generative business suits a more conservative or income-minded investor. The honest test is which set of risks you could hold through a drawdown: iPhone is still the majority of revenue, so any slowdown in smartphone replacement cycles or weakness in China, a large and competitive market, hits results directly. For NVDA, customer concentration is high: the top four or five hyperscalers account for roughly half of revenue, so any slowdown in their AI capex hits results directly.

AAPL or NVDA: which should you pick?

Pick AAPL if you believe its drivers more; NVDA if you believe its. Many investors hold both, but since they share themes, that is a concentrated bet, not diversification. Decide deliberately and check overlap. For the full detail, see the AAPL and NVDA guides.

The bottom line: AAPL vs NVDA

AAPL and NVDA are related but distinct: same themes, different businesses and risks. Neither wins in the abstract; the right pick is whichever thesis you actually believe, sized so you are not over-concentrated in one theme. Walnut can show your combined AAPL and NVDA exposure against your real portfolio. It is not an investment adviser.

Build a basket around AAPL with Walnut

Use Apple Inc. as one constituent in a thematic basket Walnut's AI helps you assemble. Describe a thesis you believe in, the AI proposes the holdings and weights, and you approve before any broker order.

FAQ

What is the difference between AAPL and NVDA?

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Apple (AAPL) designs and sells consumer hardware, software, and services. NVIDIA (NVDA) designs the graphics processing units (GPUs) and the software stack that have become the standard compute platform for modern artificial intelligence. They show up together because they share investment themes, but they are different businesses, so the better fit depends on which thesis you are expressing.

Is AAPL or NVDA the better stock?

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Walnut is informational, not investment advice. Neither is universally better; AAPL and NVDA suit different views and risk levels. Compare what each does, how they make money, and the risks, then decide which fits your thesis and what you already own.

Should you own both AAPL and NVDA?

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Because they share themes, owning both concentrates you in that theme. That can be intentional (a focused bet) or accidental (less diversification than it looks). Walnut can show your combined exposure across both before you add the second.

What are the risks of AAPL vs NVDA?

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AAPL: iPhone is still the majority of revenue, so any slowdown in smartphone replacement cycles or weakness in China, a large and competitive market, hits results directly. Regulatory pressure on the App Store (commission rates, sideloading mandates in the EU) threatens a high-margin Services revenue stream. Antitrust scrutiny in the US and Europe is ongoing. Apple has been slower than some peers to ship visible generative-AI features, raising questions about whether it leads or lags the next platform shift. Hardware growth is mature, and the company depends heavily on Asian manufacturing and TSMC capacity. NVDA: Customer concentration is high: the top four or five hyperscalers account for roughly half of revenue, so any slowdown in their AI capex hits results directly. Those same customers are building custom AI silicon (Google TPU, AWS Trainium and Inferentia, Microsoft Maia, Meta MTIA), and AMD's MI300X and MI400 series are a real second source, even if NVIDIA still holds roughly 90% of AI training accelerator share. Geopolitics matter too: US export restrictions to China have already cut a meaningful revenue stream, and NVIDIA depends entirely on TSMC for manufacturing. The valuation is the largest risk of all: at a high multiple priced for continued triple-digit growth, the stock compresses very quickly if the AI buildout decelerates.

Walnut is informational, not investment advice. This page is descriptive and not a recommendation to buy or sell AAPL or NVDA; figures are approximate and dated. Verify current data before investing.

    AAPL vs NVDA: How Apple Inc. and NVIDIA Compare (2026), Walnut