Prediction: Nvidia Stock Will Trade at $350 on This Date
NVIDIA just posted the largest single quarter in semiconductor history, yet shares trade nearly 50% below where one price target says they belong. The math behind that gap reveals something Wall Street's consensus may be missing.
NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) just reported the largest single quarter in semiconductor history, yet trades well below where fundamentals suggest.
Data Center revenue hit $89.02 billion in Q2 FY27, up 117% year over year, and CEO Jensen Huang told investors “AI has reached its inflection point. It’s doing useful work. Its tokens are productive and profitable. Now, compute is revenue.” Shares are up just 12.55% YTD. Can NVIDIA hit $350 by 2027?
Why NVIDIA Shares Are Stuck Despite Record Fundamentals
For a stock that just doubled quarterly revenue, momentum has stalled. NVDA is down 3.63% over the past week and up only 6.69% over the past month. One-year returns of 15.49% lag the underlying earnings trajectory.
Three headwinds weigh on shares. First, with a beta of 2.215, NVDA swings sharply with sentiment, and every AI capex headline invites scrutiny.
Second, management guided Q3 gross margin down to 74% with a Q4 trough in the 71% to 72% range as memory prices spike.
Third, the outlook assumes no Data Center compute revenue from China. Investors are pricing in risks before growth.
Wall Street Sees 33% Upside. Our Model Says the Setup Is Better
The Street is nearly unanimous. There are 10 Strong Buy, 48 Buy, 2 Hold, and 1 Sell ratings, with consensus target of $304.73. Our internal model puts base case at $289.96 with bull case of $334.53 and bear case of $247.21. Confidence is rated high at 0.9.
The consensus looks conservative. With 95% of analysts bullish and YoY earnings growth at 214.5%, the $304 target ignores what Vera Rubin does to unit economics.
Path to $350 Per Share
Reaching $350 from today’s price of $229.77 requires a 52.3% gain. For a mega-cap, that is substantial but maps to the math.
With forward EPS of $9.91, a $350 price implies a forward P/E of roughly 35x. Our base case of $289.96 already implies 33x, meaning $350 needs only about 3 turns of additional multiple expansion. That is a modest gap given the growth.
The bull case rests on three pillars. Vera Rubin, which management says is “the fastest product ramp in NVIDIA’s history” and generates roughly $40 billion per gigawatt versus $25 billion for Grace Blackwell.
Hyperscaler capex expected to reach $1.3 trillion in 2027. And FY28 revenue growth guidance of approximately 70%, which Huang called “a supply-constrained outlook”. Our model’s adjustment factor of 1.138 reflects that setup.
Primary risk: any hyperscaler capex pullback or memory-driven margin miss would break the multiple story instantly.
Where NVIDIA Trades Today vs Its Earnings Power
At $229.77, NVDA trades at roughly 23x forward earnings against forward EPS of $9.91. For a company growing revenue over 105% year over year with 63% net margin, that is not expensive.
Shares sit between a 52-week low of $163.85 and high of $236.26. The 10-year return of 13,660.88% reminds investors this stock has repeatedly punished those anchored to short-term multiples.
Is $350 Realistic? My Verdict
Reaching $350 requires a 52.3% gain and 35x forward earnings. It is a stretch but not a fantasy.
Three things must break right: Vera Rubin ramps on schedule, margin troughs in the 71% to 72% range as promised, and hyperscaler capex lands near the $1.3 trillion 2027 figure. Softening in AI infrastructure spend or a repeat of the China export shock would derail it.
The traits that showed up in past monster tech runs are the ones we cataloged in a free playbook here. Returns at this level shouldn’t be expected annually, but we’ve outlined the blueprint for how NVIDIA could reach $350 in 2027.
Contact [email protected] for any questions or corrections.
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.
