Stock Valuation

Is Nvidia Actually Cheap Right Now? The Case Everyone Is Getting Wrong

By ProfitByFriday · April 2026 · NVDA  |  Semiconductor  |  AI Infrastructure

Originally posted on  MooMoo Community →

There is a version of this conversation happening in every investor group right now.

Someone says Nvidia is cheap. Someone else says it is still expensive. Both of them are using the word "cheap" as if it means the same thing — and that is exactly where the confusion begins.

Cheap relative to what? Relative to its own history? Relative to its peers? Relative to what it could earn three years from now? Each of those questions gives you a completely different answer. And each answer leads to a completely different decision.

Let us go through all three — because the full picture is more interesting than any single answer.

Nvidia is the cheapest of the major AI semiconductor companies on the metric that matters most — and that is a sentence that would have sounded absurd two years ago.

Relative to Its Own History: Yes, It Is Cheaper

Nvidia's five-year average price-to-earnings ratio sat around 64 to 68 times earnings. As of April 2026, the trailing P/E is approximately 41 times. The forward P/E — based on what analysts expect Nvidia to earn over the next 12 months — is closer to 36 times.

That is a significant compression. The market is paying meaningfully less per dollar of earnings than it was for most of the last five years. In that narrow sense, the stock is cheaper than it has historically been.

41x
Trailing P/E (April 2026)
65%
Revenue Growth FY2026
$216B
FY2026 Annual Revenue

Relative to Peers: It Is the Cheapest of the Group

This is the part of the analysis most retail investors miss. On an EV/EBITDA basis — enterprise value divided by forward operating earnings — Nvidia trades at approximately 19 times. AMD trades at 38 times. ASML at 28 times. Broadcom at 24 times.

Nvidia, which generates more free cash flow than any of those three companies and holds the dominant position in AI accelerator hardware and software, is the cheapest of the group on this metric. That is not intuitive. But it is where the data points.

Why EV/EBITDA Matters More Here

For capital-light, high-margin businesses — which Nvidia increasingly is — EV/EBITDA strips out the noise of depreciation, amortization, and capital structure differences. It lets you compare apples to apples across a peer group. And on that basis, NVDA is not the most expensive name in AI semiconductors. It is the least expensive.

Relative to Absolute Value: Still Premium Territory

Here is where the bear case lives — and it deserves to be heard clearly.

The average technology stock trades at a P/E of around 34 times. The S&P 500 as a whole trades at roughly 28 times earnings. On those comparisons, Nvidia is still expensive. It is not the "value trap" the critics sometimes suggest, but it is not cheap in any absolute sense of the word.

At a market capitalisation approaching $5 trillion, Nvidia needs to keep delivering extraordinary results just to justify its current price — let alone generate meaningful upside from here. DCF models built on conservative assumptions produce intrinsic value estimates ranging from $142 to $252 per share depending on what growth rate you plug in. The current price sits above the midpoint of that range.

Insider activity adds one more data point worth noting: over the past 12 months, NVDA insiders sold more than 6.5 million shares with no insider purchases reported. That does not make the stock a sell — insiders at high-compensation tech firms regularly sell shares — but it is a counterbalance to pure enthusiasm.

The Business Underneath the Valuation Debate

Underneath all the multiple discussion, there is a business that is doing something genuinely extraordinary.

Revenue grew 65% in fiscal 2026 to $216 billion. Gross margins sit at 71%. Net profit margins exceed 50%. The Blackwell chip architecture remains sold out through mid-2026 — supply constraints are limiting growth, not demand. Jensen Huang disclosed at GTC 2026 that confirmed purchase orders for Blackwell and Vera Rubin through end-2027 now total at least $1 trillion — double the figure from the previous year's conference.

The Vera Rubin platform, due to ship in the second half of 2026, is designed to deliver 10 times more performance per watt than Blackwell. That is not iteration. That is a step change that extends the competitive moat before competitors have finished catching up to the current generation.

The Bull Case

  • $1 trillion in confirmed purchase orders through 2027
  • 19x EV/EBITDA — cheapest of AI semiconductor peers
  • 65% revenue growth at $216B scale
  • 71% gross margins, 50%+ net margins
  • Vera Rubin platform extends moat into 2027
  • Zero incidents in unsupervised autonomous operations

The Bear Case

  • Still premium on absolute P/E versus broader market
  • Priced for perfection — any execution miss is punished
  • China export restrictions create ongoing revenue ceiling
  • $5T market cap makes percentage gains increasingly hard
  • AMD and custom silicon eating at edges of the moat
  • 6.5M shares sold by insiders with no insider buying
Key Reference Levels
NVDA  ·  Nvidia Corporation
Support Zone
$150
Key technical floor (bear case)
Prior All-Time High
$212
October 2025 resistance
Analyst Consensus
$275
12-month average target

The CLEAR Framework Perspective

How NVDA Would Score Across Five Pillars

Nvidia scores exceptionally on Catalyst (AI infrastructure supercycle), Leadership (dominant market position), and Earnings (65% revenue growth, 71% gross margins). The tension sits in Risk — at $5 trillion market cap, any demand slowdown creates asymmetric downside. The CLEAR Framework gives you a structured way to weigh all five pillars rather than falling in love with one part of the story.

See the Full Framework →

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So — Is Nvidia Cheap?

Here is the honest answer: it depends on the lens you use.

Relative to its own history — yes, meaningfully cheaper. The P/E has compressed from 68 times to 41 times even as earnings have accelerated. Relative to its peer group — yes, the cheapest of the major AI semiconductor names on EV/EBITDA. Relative to the broader market — no, still premium territory that demands continued execution.

The intellectually honest position is that Nvidia is not cheap in the Benjamin Graham sense of the word. But it may be cheap in the only sense that matters for a business growing at this scale and speed — cheaper than it was, cheaper than comparable businesses, and pricing in a growth trajectory that the confirmed order book suggests is not speculation.

The Professional Mindset

Amateurs ask "is it cheap?" Professionals ask "is it cheap relative to what I believe about its future?" Those are very different questions. The answer to the first depends on your benchmark. The answer to the second depends on your conviction about the AI infrastructure buildout — and how long Nvidia can maintain its position at the centre of it.

What the CLEAR Framework does is force you to score each dimension separately and weigh them in proportion. The conclusion is not a price target. It is a conviction level — and conviction levels determine position size.

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This content is published by ProfitByFriday for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any security. All price levels and valuation metrics referenced are for educational context only. Past performance is not indicative of future results. Always conduct your own research and consult a qualified financial adviser before making investment decisions.

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