ESI vs NVDA: How Element Solutions and NVIDIA Compare (2026)
Last updated August 2026
Short answer
NVDA is the larger of the two ($4.86T market cap): the incumbent the market prices for continued execution (15.57x forward earnings, beta 2.21). ESI is the smaller challenger ($8.95B), priced similarly on forward earnings (17.75x): 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.
ESI 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 | ESI | NVDA | What it tells you |
|---|---|---|---|
| Market cap | $8.95B | $4.86T | Size. The larger name is the incumbent; the smaller has more room to grow and more to prove. |
| Forward P/E | 17.75 | 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 | 49.64 | 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 | 1.24 | 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 | 53% 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 | 3.18 | 24.88 | How much you pay over book value. Very high can signal an asset-light, high-return business or a rich price. |
Before you buy: how ESI 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. ESI 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 ESI 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 Element Solutions (ESI) do?
Element Solutions Inc is a specialty chemicals company providing high-performance specialty chemistries to electronics, automotive, industrial, and energy customers. The company organizes around two main segments. Electronics provides specialty chemistries for printed circuit board manufacturing, semiconductor packaging, and electronics assembly (including the MacDermid Alpha brand, a major supplier to electronics manufacturers globally). Industrial and Specialty provides specialty surface treatment chemistries, oil and gas chemistries, graphics arts chemistries, and various other industrial specialty chemicals.
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.
ESI 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.
- ESI drivers: Semiconductor advanced packaging; PCB manufacturing chemistries.
- 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: Cyclical exposure across electronics and industrial end markets. 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.
ESI 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 ESI 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 ESI and NVDA guides.
ESI vs NVDA: the full fundamentals
ESI. Element Solutions trades in line with the S&P 500 average, reflecting balanced exposure to growth in semiconductor packaging chemistries against more cyclical industrial specialty chemicals. The multiple expansion potential depends on continued Electronics segment growth and operating leverage.
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): ESI shows revenue (ttm) ~$2.5 billion, operating margin ~16%, net income (ttm) ~$250 million, eps (ttm) ~$1.10; 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: ESI vs NVDA
ESI 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 ESI and NVDA exposure against your real portfolio. It is not an investment adviser.
Wondering how ESI 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 Element Solutions with AI
Connect the broker you already use and ask Walnut's AI how ESI 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 ESI and NVDA?
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Element Solutions Inc is a specialty chemicals company providing high-performance specialty chemistries to electronics, automotive, industrial, and energy customers. 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 ESI or NVDA the better stock?
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Neither is universally better. NVDA is the larger incumbent; ESI 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, ESI or NVDA?
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On forward P/E (as of August 2026), ESI trades at 17.75x and NVDA at 15.57x, 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 ESI 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 ESI vs NVDA?
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ESI: Cyclical exposure across electronics and industrial end markets. Customer concentration in major electronics manufacturers. Pass-through of raw material cost inflation can lag during volatile periods. 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 ESI or NVDA; figures are approximate and dated (as of August 2026). Verify current data before investing.