I’d Buy This Stock If I Lost Everything Today

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By Vandita Jadeja Updated Published

Quick Read

  • Nvidia (NVDA) offers strong fundamentals at $216.61 with a forward P/E of 26 despite rapid growth and expansion.

  • Nvidia’s dominance in AI infrastructure is secured by major customer commitments spanning the entire decade through 2030.

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I’d Buy This Stock If I Lost Everything Today

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I keep buying NVIDIA (NASDAQ:NVDA | NVDA Price Prediction). Every time cash hits my brokerage, every paycheck, every time the position looks too large to add to, I add to it anyway. If I lost everything tomorrow and had to rebuild a portfolio from scratch, NVDA would be the first ticker I typed.

The thesis is simple. NVIDIA sells the picks and shovels for the most capital-hungry build-out of my lifetime. CEO Jensen Huang calls it the agentic AI inflection point, and the spend behind it shows up in numbers I have never seen on a company this size.

The income statement does the talking

Fiscal 2026 closed with revenue of $215.94B (+65.47% YoY), net income of $120.07B, and free cash flow of $96.58B. The Q4 print was $68.13B in revenue (+73.2% YoY) and EPS of $1.62 vs a $1.52 estimate.

Growth keeps accelerating as the base gets larger: Q1 +69.18%, Q2 +55.6%, Q3 +62.49%, Q4 +73.21%. Data Center alone did $62.31B in Q4 (+75% YoY), and Data Center Networking grew 263% YoY. Management guided Q1 FY2027 revenue to about $78B, and that figure assumes zero Data Center compute revenue from China.

A detailed dark-themed financial infographic showing NVIDIA's growth metrics, cash flow charts, and a 'Strong Buy' analyst rating.
From a $215 billion revenue explosion to a 101% return on equity, these numbers prove NVIDIA is the undisputed engine of the agentic AI revolution. © 24/7 Wall St.

The moat is paid for in advance

Meta has committed to a multiyear program covering millions of Blackwell and Rubin GPUs. OpenAI is set to deploy at least 10 gigawatts of NVIDIA systems. CoreWeave is building 5+ gigawatts of AI factories by 2030.

AWS, Google Cloud, Microsoft Azure, and Oracle are all standing up Vera Rubin instances. Huang put it plainly: “Computing demand is growing exponentially.”

Blackwell Ultra delivers up to 50x better performance and 35x lower cost for agentic AI versus Hopper, and the Rubin platform targets a 10x reduction in inference token cost on top of that. Customers keep buying because the per-token math wins.

The balance sheet and the multiple

Operating cash flow ran $102.72B for the year. The company returned $41.1B to shareholders in FY2026 ($40.1B in buybacks, $974M in dividends), and $58.5B remains on the buyback authorization.

Non-GAAP gross margin sits at 75.2%. Return on equity is 101.5%. At $216.61, the trailing P/E is 43 and the forward P/E is 26. For a company growing quarterly earnings 95.6% YoY with this margin profile, I see a mathematical mismatch I am happy to keep buying.

The honest risk

China is excluded from the model. The Q1 FY2026 H20 charge cost $4.5B. Beta is 2.34, so this position will move violently in both directions. Reliance on TSMC for fabrication is real, and supply-related commitments of $95.2B are real obligations.

I keep buying because every one of those risks was in front of investors a year ago, when the stock was $110.98. Today it sits at $216.61, up 95.17% over twelve months. The thesis bent and held.

Forward conviction is what keeps the buy button warm. The customers funding this build-out are the most cash-rich companies in the world, and they have told us, in dollars, what they intend to spend through 2030.

Analyst consensus sits at $268.61 with 57 Buy ratings against 2 Hold and 1 Sell, and the crowd can debate the next $20 of price action all it wants. I am buying the next decade of compute, and I will explain it to my grandchildren the same way I am explaining it to you now.

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About the Author Vandita Jadeja →

Vandita Jadeja is a financial copywriter who loves to read and write about stocks. She believes in buying and holding for long term gains. Her knowledge of words and numbers helps her write clear stock analysis. She has contributed to several publications, including the Joy Wallet, Benzinga, The Motley Fool and InvestorPlace.

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