NVDA vs TXN: How NVIDIA and Texas Instruments Compare (2026)

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.

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.

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.

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

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.

Full TXN guide

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.

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: the top four or five hyperscalers account for roughly half of revenue, so any slowdown in their AI capex hits results directly. For TXN, the massive US fab expansion compresses margins near-term and creates execution risk if demand doesn't materialize as expected.

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. 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.

TXN. TI's premium valuation reflects the quality of the analog business (sticky designs, long product lifecycles, high margins) and the dividend growth track record. The multiple is pressured near-term by the fab capex; longer-term it normalizes as new capacity comes online.

Headline figures (approximate, early 2026): 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; TXN shows revenue (ttm) ~$17 billion (recovering from 2023-2024 trough), operating margin ~38% (compressed by fab capex), net income (ttm) ~$5 billion, eps (ttm) ~$5.50.

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.