MKSI vs NVDA: Which Is the Better Buy in 2026?

Last updated October 2026

Short answer

NVDA is the larger of the two ($5.17T market cap): the incumbent the market prices for continued execution (13.45x forward earnings, beta 2.22). MKSI is the smaller challenger ($14.53B), priced similarly on forward earnings (12.24x): more room to run, but more to prove. The real question is which set of drivers you believe, and whether owning one (or both) leaves you over-concentrated.

MKSI vs NVDA: the tie-breaker metrics

Same yardstick, side by side (as of October 2026). Valuation lined up like this is most meaningful for two names in the same corner of the market, which these are. Figures are approximate; verify before investing.

MetricMKSINVDAWhat it tells you
Market cap$14.53B$5.17TSize. The larger name is the incumbent; the smaller has more room to grow and more to prove.
Forward P/E12.2413.45Valuation on next year's expected earnings, the same yardstick for both. Lower is cheaper for that growth; higher means the market is paying up.
Trailing P/E34.1527.07Valuation on the last 12 months. A big drop from trailing to forward means the market expects earnings to jump, so more growth is already in the price.
Beta2.032.22Volatility vs the market. Above 1 swings harder than the index; below 1 is steadier. Higher beta means bigger drawdowns to hold through.
Price vs 52-week range27% of range63% of rangeWhere today's price sits between the 52-week low and high. Near the high is momentum with less margin of safety; near the low is out of favor or a discount, depending on why.
Price / book4.8622.58How much you pay over book value. Very high can signal an asset-light, high-return business or a rich price.

Before you buy: how MKSI and NVDA affect your concentration

The metrics above tell you which is the marginally better business. The bigger risk for most people is not picking the slightly worse stock, it is over-concentrating. MKSI and NVDA share themes, so owning both, or adding either to what you already hold, can quietly push a large share of your portfolio into one bet.

This is the part a generic comparison page cannot answer, because it depends on what you own. Connect your brokerage and Walnut shows your real, combined MKSI and NVDA exposure, flags overlap with your existing positions, and tells you if adding one would tip you past a concentration you are comfortable with, read-only by default, with your login staying at your broker. Walnut is not an investment adviser.

What does MKS Inc. (MKSI) do?

MKS Inc. (formerly MKS Instruments) is a specialty supplier of vacuum systems, lasers, and precision motion components used in semiconductor manufacturing, advanced electronics, and other precision industrial applications. The company's semiconductor business spans pressure measurement and control, vacuum technology, ozone and plasma processing, and chemical vapor delivery. Many of these are critical sub-systems inside the equipment that companies like Applied Materials and Lam Research build.

Full MKSI 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; it brought in about $89 billion of the $96.2 billion total in the quarter ended July 26, 2026, roughly 92% 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 the most valuable listed company in the world at about $5.25 trillion in mid-October 2026. It designs its chips and outsources manufacturing primarily to TSMC.

Full NVDA guide

MKSI vs NVDA: how do they differ?

Both fit overlapping themes, but they are not interchangeable. The useful comparison is which set of drivers and risks you want exposure to.

  • MKSI drivers: Semiconductor equipment capex cycle; Atotech integration and electronics chemistry.
  • NVDA drivers: Continued AI infrastructure dominance; Beyond hyperscalers: sovereign AI and enterprise.

Which fits which kind of investor

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: Semiconductor capex cyclicality affects MKS materially, and the stock has already shown how quickly sentiment can turn: it fell about 36% in the three months to October 16, 2026 despite record-level quarterly revenue. For NVDA, customer concentration is high: a handful of hyperscalers and AI clouds account for a large share of revenue, so any slowdown in their AI capex hits results directly, and some newer GPU-cloud customers carry heavy debt.

MKSI or NVDA: which should you pick?

Growth-minded investors who believe the theme has years to run tend to accept the richer multiple for more upside; value-minded investors lean toward the cheaper forward earnings and steadier profile. Pick MKSI 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 MKSI and NVDA guides.

MKSI vs NVDA: the full fundamentals

MKSI. MKS valuation balances the AI-driven semiconductor capex tailwind against the debt overhang and the cyclical end markets. After the autumn sell-off, the shares trade at about 35 times trailing GAAP earnings but only about 12.6 times the roughly $17.55 of EPS analysts expect for 2027, and about 18 times EV to EBITDA. Analysts' mean price target was about $408 in mid-October 2026, far above the $220.88 close, which tells you how wide the gap is between consensus estimates and the market's current read on the cycle.

NVDA. The trailing P/E of about 27.5x is far lower than the roughly 50x of early 2026, because earnings more than doubled while the stock rose about 15% this year; on next fiscal year's consensus EPS of about $15.91 the multiple is under 14x. The market still prices continued hyperscaler AI capex, 60%+ operating margins, and a CUDA software moat. The risk is symmetrical: if AI spending slows, estimates and the multiple can fall together. NVIDIA guided the October 2026 quarter to about $108 billion of revenue (consensus about $109 billion) and reports on November 17, 2026.

Headline figures (approximate, October 2026): MKSI shows revenue (ttm) ~$4.35 billion, revenue growth (q2 2026, yoy) ~28%, gross / operating margin (ttm) ~47% / ~21%, net income (ttm) ~$439 million; NVDA shows revenue (ttm) ~$303 billion (+106% YoY in the July 2026 quarter), data center revenue (q2 fy2027) ~$89 billion, ~92% of revenue, operating margin (ttm) ~66%, exceptionally high for a hardware company, net income (ttm) ~$193 billion.

The bottom line: MKSI vs NVDA

MKSI 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 MKSI and NVDA exposure against your real portfolio. It is not an investment adviser.

Wondering how MKSI or NVDA fits the portfolio you already own? Walnut is an AI investing app that connects your brokerage read-only and answers questions like that about your actual holdings: overlap, concentration, and how each position tracks the S&P 500. Compare the best AI portfolio analyzers or see the best AI investing apps in 2026.

Investing in MKS Inc. with AI

Connect the broker you already use and ask Walnut's AI how MKSI fits what you actually hold: whether you own it already through a fund, what it would do to your concentration, and how it has tracked the S&P 500. Read-only by default, and you approve anything before it reaches your broker.

FAQ

What is the difference between MKSI and NVDA?

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MKS Inc. 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 MKSI or NVDA the better stock?

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Neither is universally better. NVDA is the larger incumbent; MKSI is the smaller challenger and looks cheaper on forward earnings. Walnut is informational, not investment advice. Compare what each does, the tie-breaker metrics above, and the risks, then decide which fits your thesis and what you already own.

Which is cheaper, MKSI or NVDA?

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On forward P/E (as of October 2026), MKSI trades at 12.24x and NVDA at 13.45x, so MKSI is the cheaper of the two on next year's expected earnings. A lower 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 compounding.

Should you own both MKSI 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, and whether adding either over-concentrates you, before you buy.

What are the risks of MKSI vs NVDA?

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MKSI: Semiconductor capex cyclicality affects MKS materially, and the stock has already shown how quickly sentiment can turn: it fell about 36% in the three months to October 16, 2026 despite record-level quarterly revenue. Integration risks from Atotech and other acquisitions. Debt levels are higher than peers (about $4.19 billion against about $611 million of cash in mid-2026), creating financial risk during cyclical troughs. Commentators have also flagged rising costs at manufacturing sites in Malaysia and Guangzhou and a lower-margin product mix as pressures on profitability. NVDA: Customer concentration is high: a handful of hyperscalers and AI clouds account for a large share of revenue, so any slowdown in their AI capex hits results directly, and some newer GPU-cloud customers carry heavy debt. Those same large 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. Geopolitics matter too: US export restrictions have effectively removed China data center sales (NVIDIA's outlook assumes none), Taiwan policy affects the supply chain, and NVIDIA depends entirely on TSMC for manufacturing. The valuation remains the largest risk: even at about 27x trailing earnings, a $5 trillion market value assumes AI spending keeps growing for years, and the stock compresses quickly if the buildout decelerates. Free cash flow of about $42 billion over the trailing twelve months is well below net income, which reflects heavy working-capital and supply commitments.

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Walnut is informational, not investment advice. This page is descriptive and not a recommendation to buy or sell MKSI or NVDA; figures are approximate and dated (as of October 2026). Verify current data before investing.