NVDA vs TXN: 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). TXN is the smaller challenger ($252.49B), actually pricier on forward earnings (25.97x): 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.
NVDA vs TXN: 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.
| Metric | NVDA | TXN | What it tells you |
|---|---|---|---|
| Market cap | $5.17T | $252.49B | Size. The larger name is the incumbent; the smaller has more room to grow and more to prove. |
| Forward P/E | 13.45 | 25.97 | 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 | 27.07 | 42.08 | 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 | 2.22 | 1.34 | 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 | 63% of range | 68% 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 | 22.58 | 14.02 | 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 NVDA and TXN 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. NVDA and TXN 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 NVDA and TXN 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 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.
What does Texas Instruments (TXN) do?
Texas Instruments (TI) is one of the largest analog semiconductor companies in the world. The vast majority of TI's revenue comes from analog and embedded processing chips: signal-chain semiconductors (op-amps, ADCs, DACs), power management ICs, and small microcontrollers. These are unglamorous compared to GPUs but are essential to nearly every electronic system: industrial equipment, automotive (a major end market), communications infrastructure, and consumer electronics.
NVDA vs TXN: 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.
- NVDA drivers: Continued AI infrastructure dominance; Beyond hyperscalers: sovereign AI and enterprise.
- TXN drivers: US-domestic manufacturing capacity expansion; Automotive and industrial as core growth markets.
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: 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. For TXN, the massive US fab expansion compresses margins near-term and creates execution risk if demand doesn't materialize as expected; free cash flow of about $3.55 billion trails a dividend of about $6.08 per share, and debt has risen to about $14 billion.
NVDA or TXN: 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 NVDA if you believe its drivers more; TXN 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 NVDA and TXN guides.
NVDA vs TXN: the full fundamentals
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.
TXN. TI's premium valuation reflects the quality of the analog business (sticky designs, long product lifecycles, high margins), the dividend growth track record, and now a strong cyclical recovery. Trailing earnings still include the weak 2025 quarters, so the ~43x trailing multiple overstates how expensive the stock is against the ~26x forward figure. Fab spending continues to hold free cash flow well below net income until the new capacity is absorbed.
Headline figures (approximate, October 2026): 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; TXN shows revenue (ttm) ~$19.5 billion (+~23% YoY in Q2 2026), operating margin ~43%, net income (ttm) ~$6.0 billion, eps (ttm / 2027 est.) ~$6.57 / ~$10.18.
The bottom line: NVDA vs TXN
NVDA and TXN 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 NVDA and TXN exposure against your real portfolio. It is not an investment adviser.
Wondering how NVDA or TXN 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 NVIDIA with AI
Connect the broker you already use and ask Walnut's AI how NVDA 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 NVDA and TXN?
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NVIDIA (NVDA) designs the graphics processing units (GPUs) and the software stack that have become the standard compute platform for modern artificial intelligence. Texas Instruments (TI) is one of the largest analog semiconductor companies in the world. 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 NVDA or TXN the better stock?
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Neither is universally better. NVDA is the larger incumbent; TXN 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, NVDA or TXN?
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On forward P/E (as of October 2026), NVDA trades at 13.45x and TXN at 25.97x, 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 NVDA and TXN?
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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 NVDA vs TXN?
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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. TXN: The massive US fab expansion compresses margins near-term and creates execution risk if demand doesn't materialize as expected; free cash flow of about $3.55 billion trails a dividend of about $6.08 per share, and debt has risen to about $14 billion. Cyclical end markets (industrial, automotive) can swing meaningfully. After a 60% one-year gain the valuation is no longer cyclical-trough cheap: about 43x trailing and 26x forward earnings and about 13x sales. The stock is down about 3.5% over three months from a 52-week high near $334, and expectations for the October 21 report (about 54% EPS growth year over year) leave little room for a soft outlook.
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Walnut is informational, not investment advice. This page is descriptive and not a recommendation to buy or sell NVDA or TXN; figures are approximate and dated (as of October 2026). Verify current data before investing.