NVDA vs TSLA: How NVIDIA and Tesla 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). TSLA is the smaller challenger ($1.23T), actually pricier on forward earnings (140.23x): 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 TSLA: 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 | NVDA | TSLA | What it tells you |
|---|---|---|---|
| Market cap | $4.86T | $1.23T | Size. The larger name is the incumbent; the smaller has more room to grow and more to prove. |
| Forward P/E | 15.57 | 140.23 | 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 | 30.79 | 285.51 | 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 | 2.21 | 1.80 | 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 | 51% of range | 7% 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 | 24.88 | 13.89 | 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 TSLA 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 TSLA 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 TSLA 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; 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.
What does Tesla (TSLA) do?
Tesla is an electric-vehicle and clean-energy company, and one of the most closely watched stocks in the world. Its core business is designing, manufacturing, and selling electric cars (Model 3, Model Y, Model S, Model X, Cybertruck) along with the charging network and software that support them. Tesla also sells energy products: solar panels and battery storage systems (Powerwall for homes and Megapack for utilities and businesses). The company makes money primarily from vehicle sales, plus a growing energy-storage business, regulatory credits, and software and services (including its driver-assistance features). Tesla is also pursuing ambitious longer-term bets: full self-driving software, a robotaxi service, and a humanoid robot (Optimus), which bulls see as potential future value drivers far beyond cars. The stock often trades on these future ambitions as much as current automotive earnings. Led by Elon Musk, Tesla is headquartered in Austin, Texas, and operates factories in the US, China, and Germany.
NVDA vs TSLA: 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.
- TSLA drivers: EV scale and manufacturing efficiency; Energy storage and generation.
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: the top four or five hyperscalers account for roughly half of revenue, so any slowdown in their AI capex hits results directly. For TSLA, tesla faces intensifying EV competition from legacy automakers and from Chinese manufacturers like BYD, pressuring prices and margins.
NVDA or TSLA: 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; TSLA 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 TSLA guides.
NVDA vs TSLA: the full fundamentals
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.
TSLA. Tesla trades at a valuation far above traditional automakers because investors price in optionality from autonomy, robotaxi, energy, and robotics rather than just current car earnings. The qualitative profile is a high-growth, high-volatility company whose stock swings on both automotive fundamentals and sentiment about speculative future markets. The premium multiple makes it highly sensitive to delivery on those long-term bets.
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; TSLA shows revenue (ttm) ~$95 to 100 billion, automotive gross margin compressed from prior peaks by price cuts, energy storage fast-growing, higher-margin segment, operating margin high-single-digit, well below prior peaks.
The bottom line: NVDA vs TSLA
NVDA and TSLA 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 TSLA exposure against your real portfolio. It is not an investment adviser.
Wondering how NVDA or TSLA 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 TSLA?
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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. Tesla is an electric-vehicle and clean-energy company, and one of the most closely watched stocks 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 TSLA the better stock?
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Neither is universally better. NVDA is the larger incumbent; TSLA 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 TSLA?
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On forward P/E (as of August 2026), NVDA trades at 15.57x and TSLA at 140.23x, 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 TSLA?
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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 TSLA?
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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. TSLA: Tesla faces intensifying EV competition from legacy automakers and from Chinese manufacturers like BYD, pressuring prices and margins. Automotive demand is cyclical and sensitive to interest rates, incentives, and economic conditions, and Tesla has cut prices to defend volume, compressing margins. The stock trades at a very high valuation that prices in optimistic outcomes for autonomy, robotaxi, and Optimus, none of which is guaranteed to arrive on the expected timeline or scale, so disappointment can trigger sharp declines. Key-person risk around Elon Musk is significant, given his central role and divided attention across multiple ventures. Regulatory scrutiny of driver-assistance features, geopolitical exposure in China, and execution risk on ambitious new products add further uncertainty. Volatility is extreme.
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Walnut is informational, not investment advice. This page is descriptive and not a recommendation to buy or sell NVDA or TSLA; figures are approximate and dated (as of August 2026). Verify current data before investing.