MU vs NVDA: How Micron Technology and NVIDIA Compare (2026)
Last updated August 2026
Short answer
MU and NVDA are similarly sized, but MU trades noticeably cheaper on forward earnings (5.35x vs 15.57x): the market is paying up for NVDA's profile and pricing MU more conservatively, or for faster growth. Which you prefer comes down to the drivers you believe, and whether adding either over-concentrates what you already own.
MU vs NVDA: the tie-breaker metrics
Same yardstick, side by side (as of August 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 | MU | NVDA | What it tells you |
|---|---|---|---|
| Forward P/E | 5.35 | 15.57 | 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 | 18.59 | 30.79 | 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 | 2.14 | 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 | 62% of range | 51% 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 | 9.23 | 24.88 | How much you pay over book value. Very high can signal an asset-light, high-return business or a rich price. |
Reading it: MU 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 MU 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. MU 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 MU 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 Micron Technology (MU) do?
Micron Technology is the third-largest memory semiconductor company in the world, after Samsung and SK Hynix. The company manufactures two main types of memory: DRAM (dynamic random-access memory used in computers, servers, and AI accelerators) and NAND (flash memory for storage). Micron is the only US-headquartered memory semiconductor manufacturer at scale, which has made it a strategic asset for US chip policy.
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.
MU 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.
- MU drivers: HBM as the AI-driven growth driver; Data center DRAM strength.
- 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: Memory is cyclical. 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.
MU or NVDA: which should you pick?
MU vs NVDA: the full fundamentals
MU. Memory companies trade at lower trailing P/E multiples than logic semiconductor companies because of their cyclical earnings. Micron's valuation reflects a position partway through a cyclical upcycle; trough-year P/E would look very different.
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): MU shows revenue (ttm) ~$35 billion (after recovering from 2023 cyclical trough), operating margin ~30% (cyclical; trough years can be negative), net income (ttm) ~$8 billion, eps (ttm) ~$7.20; 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: MU vs NVDA
MU 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 MU and NVDA exposure against your real portfolio. It is not an investment adviser.
Wondering how MU 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 Micron Technology with AI
Connect the broker you already use and ask Walnut's AI how MU 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 MU and NVDA?
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Micron Technology is the third-largest memory semiconductor company in the world, after Samsung and SK Hynix. 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 MU or NVDA the better stock?
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Neither is universally better; they suit different views and risk levels. 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, MU or NVDA?
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On forward P/E (as of August 2026), MU trades at 5.35x and NVDA at 15.57x, so MU 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 MU 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 MU vs NVDA?
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MU: Memory is cyclical. The current AI-driven upcycle will eventually correct, and Micron's earnings can swing dramatically between peak and trough years. Competition from SK Hynix and Samsung is intense; HBM share is hard-won. 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 MU or NVDA; figures are approximate and dated (as of August 2026). Verify current data before investing.