NVIDIA CORP (NVDA): what the price requires

At today's price, NVIDIA CORP (NVDA) is priced for today's economics sustained for ~5.4 years. boothcheck doesn't publish a fair value or a price target; it shows what the price assumes, so you can judge whether that bar is too high.

Generated: 2026-07-13 · Source: https://boothcheck.com/report/NVDA

Headline

FieldValue
TickerNVDA
CompanyNVIDIA CORP
Current price$204.44/sh
CompositionData Center 90% / Gaming 7% / Professional Visualization 1% / Automotive 1% / OEM and Other 0%

What The Price Requires (Inversion)

The assumption today's price embeds, recovered by inverting the valuation.

FieldValue
Inversion basiswhole-company
Operating margin needed33.8%
Operating margin today60.9%
Margin compression implied-27.1pp
Must persist for5.4y
Multiple paid35x operating income

The operating-margin requirement is derived from the framework's value band at year 4, a separately labeled basis from the headline growth/duration solve.

Solve inputs: computed at a 13.2% cost of capital; growth searched up to the 50% self-funding ceiling; each 1pp moves the implied horizon ~0.6 years.

Reconcile: at the x-ray's 9.3% required return this reads ~30%/yr; the models below use their own rates.

How unusual the bet is: elevated

ReferenceValue
vs own history-0.05σ
cohort percentile (of 177 peers)64
sustained it ~5.4 years at this level25%
implied end-window share5%

Valuation X-Ray

Asset, earnings-power and peer-multiple models all land far below the price; ONLY the growth-DCF reaches it. The bet is durable compounding the static frames structurally cannot price (a moat/durability premium).

How the valuation models price the stock relative to the market price. Price/FV above 1.0 means the market pays more than that lens defends (expensive); at or below 1.0 the lens can defend the price.

FamilyMedian price/FVModelsReads
Asset3.35x5expensive
Earnings3.88x5expensive
Relative1.91x5expensive
Growth0.94x3justifies

Families that justify the price: Growth Families that call it expensive: Asset, Earnings, Relative

The models below discount at their own flat-beta convention rates (cost of equity 9.3%, WACC 9.2%); the inversion above states its own rate.

Per-Model Detail (n=18)

ModelFamilyFVPrice/FVApplicableMethodology
DCF Perpetual GrowthGrowth$218.480.94xyesFCF base $140.9B, growth 25% (input: historical growth), terminal g 4.0%, WACC 9.2%, 7yr projection
DCF Exit MultipleGrowth$243.610.84xyesExit EV/EBITDA: 27.5x / 30.5x / 33.5x (bear / base = today's held flat / bull), 7yr
Relative ValuationRelative$157.061.30xyesP/E 26.27x (blended: sector 22x + trailing (TTM) 36x), scenarios: 21.0x / 26.3x / 31.5x (bear / base = sector held flat / bull), EV/EBITDA 20.36x
Simple DDMGrowthno
Two-Stage DDMGrowthno
Simple Excess ReturnAsset$61.033.35xyesBV/sh $8.01, ROE (TTM) 70.4%, ke 9.3%
Two-Stage Excess ReturnAsset$254.980.80xyes5yr excess ROE then converge to ke=9.3%
Discounted Future Market CapGrowth$180.961.13xyesRev $253.5B, growth 30% (input: historical growth; tapered), Terminal P/S: 9.6x / 12.0x / 14.4x (bear / base = today's held flat / bull, cap 12x)
Peter Lynch Fair ValueRelative$67.603.02xyesEPS $5.63, growth 1% (input: historical EPS growth), PEG=30.09 (Overvalued)
Margin TrajectoryGrowthno
Earnings Power ValueEarnings$23.018.88xyesNormalized EBIT (5y avg op income, one-time charges added back) $62.13B × (1−17%) / WACC 9.2% → EPV (no growth)
Residual IncomeAsset$101.252.02xyesBV $8.01 + 5yr PV of (ROE (TTM) 70.4% − Kₑ 9.3%) × BV; BV grows 8.8%/yr
Graham NumberAsset$31.876.41xyes√(22.5 × EPS $5.63 × BVPS $8.01) — Graham's conservative floor
EV/EBITDA RelativeRelative$107.091.91xyesEBITDA $163.28B × sector EV/EBITDA 16.0x
FCF YieldEarnings$52.753.88xyesFCF $119076.0M / Kₑ 9.3% — zero-growth perpetuity
SBC-Adj FCF YieldEarnings$49.724.11xyesSBC-adj FCF $112.24B (FCF $119.08B − SBC $6.84B) capitalized at Kₑ
Ben Graham FormulaEarnings$181.771.12xyesEPS $5.63 × (8.5 + 2×15.0%) × (4.4 / 5.3%)
ROIC-Justified P/BAsset$19.7910.33xyesBV $8.01 × (ROIC 22.8% / WACC 9.2%)
P/Sales SectorRelative$51.963.93xyesRevenue $253.49B × sector P/S 5.0x
PEG Fair ValueRelative$211.250.97xyesEPS $5.63 × (PEG 1.5 × growth 25.0% (input: historical EPS growth)) → PE 37.5x
Earnings YieldEarnings$60.903.36xyesEPS $5.63 / required return 9.3% (Rf 4.3% + ERP 5.0%)
Funds From Operations MultipleRelativeno
Clinical Phase NPVGrowthno
MertonAssetno
V5 Mechanicalno

Solvency

FieldValue
Net cash$52.9b
Net debt / NOPAT (after-tax)-0.45x (net cash)
Net debt / operating income (pre-tax)-0.38x (net cash)
Interest coverage484.8x
Share count CAGR (buyback)-1.0%
Burning cashno

Bullet Takeaways

Bull Case

One number frames the entire bull case: $75.2 billion of data-center revenue in a single quarter, up 92% from a year earlier. That is not a product cycle; it is an infrastructure build-out, and Nvidia sells the central component of it. The company has become, in effect, the toll road for artificial-intelligence computing, and the toll is still rising at nearly double the prior year's rate even off an enormous base. When a business this large is still compounding at that pace, the ordinary rules about large-number deceleration have not yet applied.

The durability of the position rests on more than the chips. Nvidia's advantage is the combination of leading silicon with the CUDA software ecosystem that developers have built on for years, which raises the cost of switching to a competitor and keeps the install base sticky. The latest Blackwell generation, including the GB300 products, is ramping faster than any prior architecture, and roughly half of data-center revenue now comes from hyperscalers while the other half spreads across a widening set of customers. That diversification matters: it means the demand is broadening beyond the original handful of buyers, which is what a durable platform looks like rather than a concentrated spike.

The financial profile is extraordinary and underwrites the optionality. Trailing operating income runs around $162 billion at an operating margin near 64%, the company holds about $53 billion in net cash, interest coverage is in the hundreds of times, and the share count has actually fallen about 1% a year as buybacks outpace stock compensation. A company generating this much cash at this margin can fund its next architecture, weather a demand air pocket, and keep returning capital all at once. The valuation inverts to something almost modest against this backdrop: the price requires only about five to six more years of durable compounding at a terminal operating margin near 33%, well below the 64% the company earns today. The bull case is that the AI build-out runs longer than that, and the moat holds while it does.

Bear Case

The uncomfortable fact for a holder is how few customers carry the story. A large share of Nvidia's revenue flows from a handful of hyperscalers and AI labs, and those buyers are not passive. They are simultaneously Nvidia's biggest customers and the companies most motivated to reduce their dependence on it, because Nvidia's 64% operating margin is, from their seat, a cost they would rather not pay. If they digest the capacity they have already bought, or trim capital spending even modestly, Nvidia's growth rate decelerates fast, and a stock that trades on growth loses its multiple when growth slows, not just its earnings. That is the disconnect the price ignores: the same concentration that produced the spectacular quarter is the fragility underneath it.

The customers are also building the alternatives. Broadcom is designing custom inference chips with OpenAI, AMD has won large data-center deals, and Qualcomm has expanded its data-center portfolio, all pointing toward a future where some of the workloads now running on Nvidia GPUs migrate to purpose-built silicon. Inference, the running of trained models, is more cost-sensitive than training and is exactly where custom chips can win. Nvidia's CUDA moat is real for training, but it is thinner where the economics push hardest toward commoditization.

Geopolitics adds a discrete, already-realized hit. The 10-K is blunt that export controls "have already encouraged and may in the future encourage overseas governments to request that our customers purchase from" China-based competitors, and that the company has "not received licenses to ship these restricted products to China." Those restrictions forced a $4.5 billion inventory charge and roughly $8 billion of lost H20 revenue, a reminder that a large market can be closed by policy overnight. None of this is a balance-sheet bear: with $53 billion in net cash and minimal debt, solvency is a non-issue. It is a durability bear. The valuation methods agree on the shape of the risk: asset value, earnings power, and peer multiples all read the stock as richly valued, and only the growth-based methods reach the price. The price is a bet that the build-out compounds for years more; if it does not, there is no cheap family of method to fall back on.

Valuation

The striking thing about Nvidia's valuation is how little it actually demands relative to the company's current economics. Inverting the price gives an implied terminal operating margin near 33% sustained over roughly five to six years, against a trailing operating margin around 64% today. In other words, the price does not require Nvidia to do anything it has not already proven on margin; it requires the company to keep growing for another half-decade and then settle at roughly half its current profitability. The whole bet is duration: how long the AI infrastructure cycle runs, not whether Nvidia can make money on it.

The methods split along the line that defines a moat-premium stock. Asset value, earnings power, and peer multiples all read the stock as richly valued, with the earnings-power family sitting several times below the price, because no static lens can credit growth it cannot see. Only the growth-based methods reach the price, and they get there by assuming the durable compounding continues. That pattern is the signal: the premium is a durability premium the static frames structurally cannot price, justified only if the build-out persists. The right comparison set is the large AI-and-data-center semiconductor cohort rather than the broad chip market, because Nvidia's growth and margin profile behaves nothing like a cyclical commodity-chip maker.

Solvency is not a constraint here; it is a weapon. Net cash of about $53 billion, interest coverage in the hundreds of times, and an operating profit around $162 billion mean the company can self-fund every future architecture and still return capital, with the share count down about 1% a year. The balance sheet removes downside-from-distress entirely, which is why the bear case is about growth durability rather than survival. The decisive variable is the persistence of hyperscaler and AI-lab demand: the price assumes several more years of it, and given the customer concentration and the rise of custom silicon, that assumption is where the real risk lives.

Catalysts

The Q1 FY2027 report on May 20, 2026 was a strong beat that the market met with a shrug. Total revenue reached a record $81.6 billion, up 85% year over year, and GAAP EPS of $1.87 cleared the $1.77 consensus. Data Center revenue set a record at $75.2 billion, up 92% from a year ago, driven by the Blackwell GB300 ramp, with hyperscalers at roughly half of the segment and the rest spread across a broadening customer base. The stock slid despite the beat, a sign expectations had run ahead of even these numbers and that the market is now focused on the durability question more than the latest print.

China and export policy remain the dominant external swing factor. New U.S. licensing restrictions on the H20 GPU led to a $4.5 billion inventory charge and an estimated $8 billion reduction in China revenue, and guidance has excluded China data-center revenue. The path of those controls, and any licensing relief or further tightening, can move a full quarter's revenue, which makes it the single most important policy variable to track.

The competitive landscape is the longer-term catalyst. Custom-silicon efforts, including Broadcom's work with OpenAI, AMD's data-center deals, and Qualcomm's expanded portfolio, point to hyperscaler diversification away from sole reliance on Nvidia GPUs, especially for inference. Analyst sentiment remains overwhelmingly positive, with a Strong Buy consensus and an average price target around $275, in a wide range from roughly $210 to $360. The next earnings prints, hyperscaler capital-spending updates, and any shift in export policy are the events most likely to reprice the stock.

Peer Cohorts (Per Segment, With Filing Citations)

Compute & Networking (reported)

Graphics (reported)

Article Insight (Recent News Sentiment)

Sentiment score: 65.00 (MEDIUM confidence) FUD/Hype: FUD_DETECTED (The Invezz article highlights a recent price drop and investor concerns about competition, framing it as a potential shift in sentiment.) Claim alignment: MIXED

These articles collectively suggest a nuanced view of NVIDIA, acknowledging strong demand but highlighting emerging competitive pressures and recent price volatility.

How Nvidia's Jensen Huang Used The Innovator's Dilemma to Dominate - 24/7 Wall St.

NVIDIA (NVDA) Stock: Why Cramer Says AI Spending Still Flows to Jensen's Chips - Blockonomi

Nvidia stock is in the red, back below $200: can it rebound? - Invezz.com

Methodology Note

Fundamentals sourced from SEC EDGAR filings. Current price from Databento. The priced-in inversion and valuation x-ray are computed by the boothcheck engine; narrative composed by AI from the structured data.

Sources

Nvidia Q1 FY2027 results, May 2026 · Nvidia FY2026 disclosures and FY2025 10-K · Nvidia FY2026 disclosures, 2026 · industry reporting via search results, 2026 · analyst data via MarketBeat and Public.com, June 2026

View the full interactive NVDA report on boothcheck