Is Nvidia Still Expensive When You Look At The Numbers

What Is Valuation? — Separating a “Great Company” from a “Great Stock”

Valuation is simply the question: “Is this stock expensive or cheap at today’s price?” The most common metric is the P/E ratio (Price-to-Earnings):

• Share price
• divided by earnings per share (EPS) over one year.

In everyday terms, it is “how many years of current earnings you are paying for when you buy the stock today.”

In the table, you see both Trailing P/E (last 12 months) and Forward P/E (next 12 months based on estimates).

• Nvidia’s forward P/E is roughly 36% lower than the median of its AI & machine-learning peer group (AMD, MSFT, GOOGL, META, etc.).
• Its PEG ratio (P/E divided by growth) is about 0.6x. A PEG below 1.0 is often read as “cheap relative to growth.”

So despite the popular narrative that “Nvidia is insanely expensive,” relative to other AI growth names, it now looks more like a ‘less expensive growth stock’ than a wildly overpriced one.

However, P/S (price-to-sales) and P/B (price-to-book) are much higher than peers. That reflects the market’s belief that Nvidia can squeeze far more profit out of each dollar of sales or equity than most peers, thanks to its exceptional margins.

Looking at the 1-year P/E range and current percentile, today’s P/E sits close to the 1-year median, not at an extreme. That suggests we are not at a blow-off top or panic bottom in valuation terms.

Key lesson:

• A high P/E alone does not prove a stock is “too expensive.”
• You must compare against peers in the same growth bucket (relative valuation) and
• Adjust for growth via PEG to see if you are paying too much for that growth.

What to watch:

• For today’s valuation to hold,
  • AI infrastructure demand must stay very strong, and
  • Earnings growth must meet or exceed current expectations.
• If growth slows faster than expected, PEG can quickly move above 1.0, turning Nvidia from “cheap for its growth” into “genuinely expensive” almost overnight.

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Growth Quality — Is the AI Boom Still Real in the Numbers?

Growth is about how fast revenue and earnings are increasing. For beginners, the most intuitive metrics are revenue growth and EPS growth.

Annual growth vs peers:

In the annual growth table:

• Over the last year, Nvidia’s revenue, operating income, and EPS all grew north of 60%.
• That’s down from triple‑digit growth the prior year, so the trend is marked as decelerating.
• But relative to peers growing revenue around 20% and EPS around 30%, Nvidia is still 2–3x faster.

In other words, Nvidia has shifted from “explosive” to “very fast” growth, not from “growth” to “no growth.”

Quarterly Revenue & EPS (YoY):

Quarterly, in the most recent period (2026‑04‑30), revenue is up roughly 85% YoY and EPS is up above 200% YoY. Nvidia’s actual Q1 FY26 report showed revenue up about 69% YoY and data center revenue up more than 70% YoY – broadly consistent with the same story: still massive, if slightly slower, growth. (nvidianews.nvidia.com)

The real-world driver is clear:

• Hyperscale cloud and AI infrastructure spending has exploded. Recent research estimates 2026 AI-related capex from hyperscalers in the hundreds of billions of dollars, with a majority of that spend flowing directly or indirectly to Nvidia’s ecosystem. (presenc.ai)
• CEO Jensen Huang has described AI demand as “parabolic,” emphasizing not just cloud data centers but also AI PCs, edge devices, and sovereign AI deployments as new growth legs. (app.dealroom.co)

Buyback vs Organic EPS Decomposition:

The EPS vs. buyback table tells an important story:

• Over the last several years, almost all EPS growth has come from actual net income growth, not from shrinking the share count.
• The contribution of buybacks to EPS growth is only about 1 percentage point per year.

That means Nvidia’s earnings explosion is real business performance, not financial engineering.

Key lesson:

• Always look at both the level and the trend of growth.
  • Nvidia’s level of growth is still exceptional vs peers.
  • The trend is clearly slowing from previously unsustainable triple digits.
• Check whether EPS is rising because
  • the business is making more money, or
  • management is just reducing the number of shares.

What to watch:

• Hyperscaler AI capex plans and any sign of moderation.
• How much share competitors like AMD’s MI300, Google TPU, and AWS Trainium actually take in production, not just in press releases. (gmicloud.ai)
• In quarterly reports, watch whether revenue growth glides down gently or falls sharply, as that will determine whether today’s valuation still makes sense.

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Profit Margin Trends — Is This “Profitable Growth”?

Margins measure how much profit a company keeps from each dollar of sales.

• Gross margin: (Revenue − cost of goods sold) / Revenue
• Operating margin: Operating income / Revenue

Higher margins usually mean a better business model – strong pricing power, efficient operations, or both.

The margin summary shows:

• Nvidia’s gross margin in the 70% range and operating margin in the 60% range.
• Peers sit around 20% gross margin and single-digit operating margin.

So Nvidia is not just a fast grower; it is a hyper-profitable fast grower.

The catch: gross margin has ticked down slightly from recent peaks. Recent earnings show that reported gross margin dropped into the low 60s due to one‑off charges tied to specific products (such as H20 for China), while underlying gross margin excluding those charges remained in the mid‑70s. (nvidianews.nvidia.com)

Annual margin history:

Looking at the annual margin history, operating margin climbed from the 20% range to above 50–60% as the AI data center boom took off. That reflects:

• A shift toward high‑margin AI GPUs and software, and
• The leverage of R&D and software: once built, those costs do not rise as fast as revenue.

Quarterly margins:

Quarterly, you see:

• Operating margin creeping higher as scale kicks in, while
• Gross margin wiggles due to product/region mix and one‑off items.

Key lesson:

• Don’t just ask, “Is the company growing?” Ask, “Is this profitable growth?”
• Nvidia currently offers the rare combo of very high growth and very high margins.

What to watch:

• Whether gross margin stabilizes in the 70s or drifts down into the 60s.
• Competitive pressure from AMD and in‑house cloud chips: if customers can negotiate better prices or switch to alternatives, unit pricing and margins will be the first to feel it.
• In each earnings release, focus on gross margin guidance and commentary on product mix in data center.

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Cash Flow — How Much Cash Does Nvidia Actually Keep?

Cash flow tells you how much real cash the business generates. Investors especially care about free cash flow (FCF):

• FCF = cash from operations − capital expenditures (CapEx).
• Think of it as the company’s “take‑home pay” after all necessary bills and investments.

From the FCF table:

• Nvidia’s FCF has exploded upward in the last several years.
• FCF margin is in the mid‑40% range, meaning roughly $0.45 of every revenue dollar turns into free cash.
• FCF conversion (FCF / net income) is around 0.8–0.9x, so accounting earnings and cash move closely together.

Latest year vs peers (most recent fiscal year):

Versus peers:

• FCF margin is more than 2x peer median, while
• CapEx intensity (CapEx as a % of sales) is much lower.

That’s because Nvidia sells the “brains” (GPUs and software), while its biggest customers – hyperscalers – pay for the massive data centers. Nvidia rides the AI capex boom without having to build the physical infrastructure itself. (presenc.ai)

Balance Sheet Health:

On the balance sheet:

• Net debt has fallen,
• Interest coverage has surged to hundreds of times, implying effectively no meaningful debt burden.

Capital allocation (FY2026, % of FCF):

As for capital allocation:

• Around 40% of FCF goes to buybacks,
• Only about 1% goes to dividends.

This is a classic “growth + buyback” playbook: reinvest heavily in the business, then return excess cash via share repurchases rather than big dividends.

Key lesson:

• Don’t stop at revenue and EPS. Also check FCF, FCF margin, and FCF conversion to see if growth is turning into real cash.
• Many growth companies show nice earnings but weak cash generation. Nvidia is currently the opposite: strong earnings and very strong cash.

What to watch:

• If AI demand cools, watch whether FCF margin stays high or compresses sharply.
• Nvidia’s own investment plans: a step‑up in R&D, packaging, or capacity could lift CapEx, pushing FCF margins down even if earnings stay strong.

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Price Performance — A Great Company Can Still Have a Rough Stock

Looking at returns vs the S&P 500 (SPY) and the sector:

• Over 1 year, Nvidia has dramatically outperformed the market.
• Over the last month, it has underperformed both the market and its sector by a wide margin.

In early June 2026, strong jobs data reduced hopes for rate cuts, and AI/semiconductor stocks sold off hard, with Nvidia among the sharpest decliners. (fool.com)

The important takeaway:

• Even a fantastic business can see its stock fall if expectations were too high.
• When investors dial back growth assumptions and raise the discount rate at the same time, valuations can compress violently, even if fundamentals are still good.

Return decomposition (OLS, full price history):

Alpha interpretation: annualised residual return after stripping out market-wide and sector effects. Positive = company outperforms on its own merits.

The OLS regression shows:

• A market beta just above 1.0 – more volatile than the market, but not extreme.
• A small positive annualized alpha, meaning Nvidia has historically delivered some excess return beyond what market and sector moves would explain.

But in a sector‑wide correction like June 2026, the biggest winners often correct the hardest. A pullback does not automatically mean the business is broken; it may simply mean expectations must reset.

What to watch:

• Instead of focusing on the size of the drop, look at what changed:
  • Has forward P/E / PEG actually reset to more reasonable levels?
  • Did earnings, orders, or capex plans change in a way that truly affects long‑term value?

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Analyst Outlook — Expectations Are Still Being Raised

Analyst consensus aggregates what professionals expect for future earnings based on all currently available information.

The table shows that:

• Both current‑year (FY0) and next‑year (FY+1) EPS are expected to grow.
• Over the last 30 days, Nvidia’s EPS consensus has been revised up by about 7%, with
• 41 upward vs only 2 downward revisions.

So while the stock has corrected, earnings expectations are still moving higher.

Compared with key peers (AMD, MSFT, GOOGL, etc.):

• Nvidia has the strongest recent positive revision momentum, and
• It is covered by nearly 50 analysts, ensuring that new information is quickly reflected in estimates.

External sources suggest consensus next‑year EPS growth expectations in the 30–40% range, even after recent tweaks. (platinum-stock-analyzer.com)

Key lesson:

• Analyst estimates are not truth, but they are a good thermometer of market expectations.
• Watch the direction of revisions – up or down – more than the precise number.

What to watch:

• Each earnings season, check whether Nvidia beats current EPS expectations and, more importantly,
• Whether post‑earnings revisions continue to trend up or start to roll over.

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Bottom Line — One Question to Ask Yourself Before Investing in Nvidia

Let’s synthesize the numbers and context into a bull case, a bear case, and one key question.

Bull Case

• Core supplier of a multi‑year AI infrastructure supercycle: Hyperscalers, enterprises, and governments (sovereign AI) all standardize on Nvidia, keeping demand elevated for years.
• Exceptional profitability and cash generation: Nvidia’s margins, FCF margins, and low CapEx needs give it huge financial firepower and resilience.
• Valuation less stretched vs peers: Relative to other AI leaders, forward P/E and PEG are no longer extreme, so investors no longer need wild “blue‑sky” scenarios to justify the price – just solid execution.

Bear Case

• Growth deceleration plus credible competition: Growth is already slowing from tri‑digit levels, just as AMD, Google TPUs, AWS Trainium, and other accelerators ramp. If these gain real share, Nvidia’s growth and margins could both compress. (gmicloud.ai)
• Macro and interest‑rate risk: After a huge run‑up, AI stocks are vulnerable to valuation resets when rates rise or risk appetite falls.
• Valuation still assumes strong compounding: Even if Nvidia looks cheaper than peers, in absolute terms you are still paying for years of high growth and high margins. If growth slips into the teens, today’s multiples can quickly look expensive.

One Key Question

“Over the next 3–5 years, do I believe Nvidia’s revenue, earnings, and cash flow can keep growing roughly at the pace the market expects today?”

If your honest answer is “yes, or even faster,” then after the recent pullback, today’s numbers may represent a reasonable long‑term entry point.

If your answer is “I’m not sure” or “probably not,” then remember that a lot of good news is already priced in – and Nvidia could still be a fantastic company but a less attractive stock.

For new investors, the real win here is not just deciding “buy or not.” It is learning to read the story behind the numbers:

• Valuation (P/E, PEG) → “Price vs. growth expectations.”
• Growth & margins → “How fast and how profitably is the business scaling?”
• Cash flow & capital allocation → “How much real cash is created and where does it go?”
• Revisions & price action → “How are expectations and sentiment shifting over time?”

Viewed through that lens, Nvidia becomes not just an AI story, but a textbook case study in how to analyze a world‑class growth compounder.