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I keep hitting the buy button on NVIDIA (NASDAQ:NVDA | NVDA Price Prediction), and the logic is embarrassingly simple. The stock trades at 26 times forward earnings while the underlying business grew revenue 65.47% last fiscal year. Find me a more lopsided ratio of price to growth in a company this size and I will eat my keyboard.
That is the whole pitch, in one sentence. The receipts are what keep me coming back.
The math that keeps pulling me in
NVIDIA closed Friday at $215.20, which puts the market cap at roughly $5.23 trillion. A multi-trillion-dollar sticker price scares some investors off, but it is the wrong anchor when the cash engine underneath is expanding this fast. Look at what the company actually produces and the multiple shrinks fast. FY2026 free cash flow came in at $96.58 billion, up 58.7% year over year. Net income hit $120.07 billion. EPS for the year was $4.77. Alpha Vantage pegs the PEG at 0.68, a mispricing you rarely catch in real time on a franchise this dominant.
Zoom out and the picture sharpens. Pay double the current price and you are still buying a business compounding at rates most public companies cannot fake for a single quarter, let alone four in a row. The more you zoom out the cheaper it looks, and that is what keeps me adding.
Growth that refuses to slow
Q4 FY2026 revenue landed at $68.13 billion, up 73.21% year over year. Data Center alone produced $62.31 billion, and the networking line inside that segment grew 263%, a startup-deck growth rate inside a half-trillion-dollar segment. Management then guided Q1 FY2027 revenue to roughly $78 billion, and they did it with zero Data Center compute revenue from China baked in. Acceleration has not paused.
The earnings beats have become almost monotonous. Eight straight quarters above estimates, with Q4 reporting $1.62 against a $1.52 consensus. Jensen Huang put it plainly on the last call: “Computing demand is growing exponentially. The agentic AI inflection point has arrived.” Customers are not whispering it either. Meta committed to millions of Blackwell and Rubin GPUs. OpenAI is deploying at least 10 gigawatts of NVIDIA systems. CoreWeave is building toward 5 gigawatts of AI factories by 2030. Those are not speculative orders — they are multi-year, multi-gigawatt commitments that lock in revenue visibility well into the Rubin cycle.
What I actually lose sleep over
The bear case is real, and I respect it. The whole argument hinges on NVIDIA keeping up with long-term estimates, and that is not a given. The AI capex cycle could cool. Google’s TPUs keep improving, and retail investors are already chewing on the question. One r/stocks thread put it bluntly, asking “Is there a good answer for how do TPUs not pose a threat to GPU?” Fair question. China is another live wire. NVIDIA’s $95.2 billion in supply commitments assumes the demand curve holds, and a Hopper-style export shock could leave inventory stranded again. Supply-side commitments of $95.2 billion and another $27 billion in multi-year cloud service agreements mean a sudden demand air pocket would hurt more than usual.
So why does my thesis survive? Because bears have argued about a slowdown for years, and every quarter the company grows past their goalposts. The moat extends well beyond silicon. CUDA, NVLink, Spectrum-X, and a software stack hyperscalers have spent a decade writing code against all reinforce it. Switching costs sit buried inside the customer’s own infrastructure, which is the most durable kind. Rewriting a decade of CUDA kernels to chase a marginally cheaper accelerator is a project few CTOs will sign off on while NVIDIA keeps shipping order-of-magnitude performance gains generation over generation.
Why the buy button stays active
NVIDIA returned $41.1 billion to shareholders in FY2026 and still has $58.5 billion left on the repurchase authorization. The Wall Street price target sits at $269.17. Polymarket traders assign a 68.5% probability the stock touches $224 by month-end. My horizon stretches well past May. At 26 times forward earnings on a business compounding north of 60% and throwing off nearly a hundred billion in free cash flow, I will keep buying until the math stops working.
