Key Points
Q2 revenue of $96.2B beat consensus by $4B, up 106% year-on-year.
Data Center revenue surged 117% to $89B, exceeding $85.8B forecast.
Q3 guidance of $108B midpoint signals 70% fiscal 2028 growth.
Stock fell 1.6% as investors weigh stretched valuations against AI demand.
Nvidia reported Q2 fiscal 2027 revenue of $96.2 billion, beating Wall Street’s $92.3 billion forecast, with adjusted earnings per share of $2.22 versus $2.09 expected. The chipmaker guided Q3 revenue to $108 billion, signalling sustained demand for AI infrastructure. Despite the beat, Nvidia stock fell 1.6% to $209.66 on August 27 as investors reassess valuations.
Q2 Results Crush Estimates as Data Center Revenue Surges
Nvidia’s Q2 revenue reached $96.2 billion, up 106% year-on-year and 18% from Q1. Data Center revenue hit $89 billion, beating the $85.8 billion consensus and climbing 117% annually. Adjusted gross margin held steady at 75%, while adjusted operating income jumped 124% to $64 billion. CEO Jensen Huang said AI has reached an inflection point where compute is now revenue, with demand accelerating across multiple labs and open-model ecosystems.
Forward Guidance Points to 70% Growth in Fiscal 2028
Nvidia expects Q3 revenue between $105.8 billion and $110.1 billion, with a midpoint of $108 billion, well above the $104.2 billion consensus. The company projects adjusted gross margin at 74% plus or minus 0.5 percentage points. Huang noted that Vera Rubin, the company’s latest GPU architecture, is now in full production with first racks operating at partners. Management raised purchase commitments from $119 billion to $279 billion to secure memory components and meet demand.
Stock Slides Despite Beat as Valuation Concerns Persist
Nvidia shares fell 1.6% on August 27 despite topping earnings expectations, reflecting investor wariness about stretched valuations. Meyka grades the stock an A with a 12-month forecast of $217.62, suggesting limited upside from current levels. The stock trades at a 32.2x trailing price-to-earnings ratio, with 19 analysts rating it Buy and 2 rating it Strong Buy. Analysts worry execution has become a prerequisite rather than a catalyst for growth.
Capital Returns and Balance Sheet Strength
Nvidia returned approximately $26 billion to shareholders in Q2 through buybacks and dividends, with $99 billion remaining under its repurchase authorization. Free cash flow reached $21.3 billion, while cash and equivalents stood at $22.4 billion. The company will pay a quarterly dividend of $0.25 per share on October 1, 2026. Nvidia’s debt-to-equity ratio remains low at 0.066, reflecting a fortress balance sheet despite the $279 billion memory purchase commitment.
Final Thoughts
Nvidia’s beat and strong Q3 guidance confirm AI infrastructure demand remains robust, but the stock’s post-earnings decline signals investors are pricing in most of the good news. With Meyka rating the stock A and forecasting $217.62 in 12 months, the risk-reward at $209.66 appears balanced for long-term holders.
FAQs
Investors worry execution has become a prerequisite rather than a growth catalyst. Valuations at 32x trailing PE reflect high expectations already priced in.
Nvidia guided Q3 revenue to $108 billion midpoint, up from $96.2 billion in Q2, signalling 70% growth for fiscal 2028 overall.
Nvidia returned $26 billion through buybacks and dividends in Q2, with $99 billion remaining authorized for future capital returns.
Meyka rates Nvidia an A with a 12-month price target of $217.62, suggesting limited upside from the August 27 close of $209.66.
Disclaimer:
The content shared by Meyka AI PTY LTD is solely for research and informational purposes. Meyka is not a financial advisory service, and the information provided should not be considered investment or trading advice.
About Author

Huzaifa Zahoor
Co FounderHuzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.
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