MSFT vs NVDA: How Microsoft and NVIDIA Compare (2026)
Last updated July 2026
Short answer
NVDA is the larger of the two ($4.66T market cap): the incumbent the market prices for continued execution (14.94x forward earnings, beta 2.21). MSFT is the smaller challenger ($2.93T), actually pricier on forward earnings (20.37x): 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.
MSFT vs NVDA: the tie-breaker metrics
Same yardstick, side by side (as of July 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.
| Metric | MSFT | NVDA | What it tells you |
|---|---|---|---|
| Market cap | $2.93T | $4.66T | Size. The larger name is the incumbent; the smaller has more room to grow and more to prove. |
| Forward P/E | 20.37 | 14.94 | Valuation 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/E | 23.49 | 29.40 | Valuation 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. |
| Beta | 1.13 | 2.21 | Volatility 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 range | 22% of range | 39% of range | Where 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 / book | 7.08 | 23.83 | How much you pay over book value. Very high can signal an asset-light, high-return business or a rich price. |
Reading it: NVDA is the cheaper of the two on forward earnings, but cheaper is not the same as better. Pair the valuation with growth (how far the forward P/E sits below the trailing P/E) and risk (beta) before you decide.
Before you buy: how MSFT 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. MSFT 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 MSFT 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 Microsoft (MSFT) do?
Microsoft (MSFT) is one of the largest and most diversified technology companies in the world, operating across three reporting segments. Productivity and Business Processes includes Microsoft 365 (Office, Teams, Dynamics 365) and LinkedIn. Intelligent Cloud covers Azure, GitHub, server products, and enterprise services. More Personal Computing spans Windows, gaming (Xbox plus the acquired Activision Blizzard), Surface devices, and search via Bing. Azure is the second-largest cloud computing platform in the world behind AWS, and Microsoft 365 is the dominant productivity suite for businesses globally. AI is woven across all of it through the Copilot product line and a deep partnership with OpenAI, in which Microsoft is both the primary cloud provider and a major investor. The company was founded in 1975 by Bill Gates and Paul Allen, is headquartered in Redmond, Washington, and is led by CEO Satya Nadella (since 2014). Microsoft is consistently the largest or one of the two largest publicly traded US companies by market cap, with enormous recurring cash flow and a multi-decade dividend-growth streak.
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.
MSFT 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.
- MSFT drivers: AI as the platform; Closing the gap with AWS in cloud.
- 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: The largest open question is the return on AI capex: Microsoft is spending more than $50 billion a year on AI and cloud infrastructure, and if enterprise adoption is slower than expected the payback stretches out. 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.
MSFT 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 MSFT 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 MSFT and NVDA guides.
MSFT vs NVDA: the full fundamentals
MSFT. For comparison, the S&P 500 trades at roughly 22x earnings on average. Microsoft's premium reflects its combination of growth, durability, margins, and AI exposure through Azure and OpenAI. It is not the highest P/E in mega-cap tech; NVIDIA, for example, trades at roughly 50x. The premium is justified as long as Azure keeps growing double digits and the AI capex earns a return; multiple compression risk rises if cloud growth slows. All figures are approximate as of early 2026 and refresh quarterly; verify against Microsoft's investor relations page or your broker.
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): MSFT shows revenue (fy2025 ending june) ~$245 billion, growing ~15% year over year, operating margin ~45%, among the highest of any company at Microsoft's scale, net income ~$95 billion, eps (ttm) ~$12.80; 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, eps (ttm) ~$2.80.
The bottom line: MSFT vs NVDA
MSFT 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 MSFT and NVDA exposure against your real portfolio. It is not an investment adviser.
Investing in Microsoft with AI
Connect the broker you already use and ask Walnut's AI how MSFT 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 MSFT and NVDA?
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Microsoft (MSFT) is one of the largest and most diversified technology companies in the world, operating across three reporting segments. 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 MSFT or NVDA the better stock?
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Neither is universally better. NVDA is the larger incumbent; MSFT is the smaller challenger and looks pricier 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, MSFT or NVDA?
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On forward P/E (as of July 2026), MSFT trades at 20.37x and NVDA at 14.94x, so NVDA 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 MSFT 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 MSFT vs NVDA?
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MSFT: The largest open question is the return on AI capex: Microsoft is spending more than $50 billion a year on AI and cloud infrastructure, and if enterprise adoption is slower than expected the payback stretches out. Antitrust pressure is real, with the FTC and EU both active on Microsoft's stack over the years. The concentrated dependence on OpenAI as the AI partner of choice cuts both ways, since OpenAI is also, increasingly, a competitor. Cloud is competitive (AWS leads, Google Cloud and Oracle are investing heavily), and the valuation, while not the highest in mega-cap tech, embeds confidence in durable double-digit growth that could compress if Azure decelerates. 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.
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Walnut is informational, not investment advice. This page is descriptive and not a recommendation to buy or sell MSFT or NVDA; figures are approximate and dated (as of July 2026). Verify current data before investing.