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NVIDIA (NVDA)

NVIDIA designs high-end accelerators and software stacks (CUDA, enterprise AI platforms) that power data-center AI training and inference, cloud hyperscalers, and supercomputing. It is a fabless semiconductor company: manufacturing partners such as TSMC fabricate the silicon while NVIDIA captures product revenue and growing software and services lines. Gaming GeForce GPUs and professional visualization (Omniverse-related workflows, workstations) remain meaningful even as Data Center has become the headline growth engine. The ~$60 billion annual revenue figure tracks consolidated sales from the latest fiscal 10-K — investor enthusiasm and market cap can move much faster than a single year of booked revenue.

Currency:

Since January 1st

$95.21B

Year progress

44.1% of the year

Earned so far: $95.21BRemaining: $120.73B

How we visualize NVIDIA (NVDA)'s revenue flow

Data last reviewed: June 1, 2026

NVIDIA's data-center segment exploded with generative-AI training and inference demand: H100/H200 supply constraints, cloud hyperscaler capex, and export controls to China all appear in management commentary before they fully settle into annual revenue. Gaming and automotive lines still matter but are no longer the sole story.

Fabless model means TSMC capacity allocation is a revenue ceiling in tight cycles—revenue recognition can trail bookings when supply is rationed. Competitors (AMD MI series, custom ASICs at Google/Amazon) pressure pricing in future years even when one year's revenue spike looks extraordinary.

Stock valuation often prices many years of forward data-center growth; dividing one historical revenue year by seconds does not imply sustainable per-second sales forever. Read gross margin expansion from software+cuda ecosystem lock-in alongside top-line counters.

Export-control policy changes can redirect which SKUs ship to which countries, reshaping regional revenue without changing global AI demand headlines. Pair this page with semiconductor trade press (TrendForce, SemiAnalysis) for supply context beyond our static annual figure.

Putting the rate in perspective

Illustrative only: rough USD prices for familiar products vs. this counter's rate. Not a shopping guide.

  • If you treat NVIDIA (NVDA)'s annualized revenue pace as cash-like (it is not), about 1 minutes at that rate matches a ~$999.00 iPhone price — useful only as a scale comparison.
  • Roughly 1 hours at this pace equals a ~$42,000.00 new electric vehicle price point — companies earn differently than people; this is metaphorical math.
  • Versus a ~$75,000.00 median yearly income benchmark, this revenue-rate counter passes that amount in about 11 seconds — not profit, not per employee, just orders of magnitude.

Time Breakdown

$6,847.35

per second

⏱️

$410,840.94

per minute

🕐

$24,650,456.62

per hour

📅

$591,610,958.90

per day

📊

$215.94B

per year

How is this calculated?

// Annual amount

$215.94B

÷ 31,536,000 seconds/year

// Per second

= $6,847.35/sec

The counter starts from January 1st of the current year and accumulates at a rate of $6,847.35 every second, based on NVIDIA (NVDA)'s estimated annual figure of $215.94B.

Methodology

We use total revenue from NVIDIA's filed annual report, not net income, free cash flow, or stock-market capitalization. Segment footnotes show Data Center vs Gaming vs Professional Visualization vs Automotive. The per-second value linearizes that annual total. When NVIDIA files a new 10-K with a higher consolidated revenue, editors should update `yearlyAmount` to keep the counter aligned with filings.

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Data Sources

NVIDIA Annual Report, SEC Filings

https://investor.nvidia.com/

Disclaimer

Figures are based on historical financial statements and may not reflect current quarter performance.

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