Source: BIT Securities

On Wednesday, August 26, Nvidia announced the strongest quarterly performance in semiconductor industry history. Revenue reached $96.2 billion, with data center revenue at $89 billion, adjusted earnings per share of $2.22, exceeding expectations by over 6%, and Q3 revenue guidance of $108 billion, significantly higher than analyst forecasts. Subsequently, the stock price soared about 4% in after-hours trading. This report will explain what these numbers actually mean, why gross margin is the core issue of focus for investors, and what to watch for next.

Key Data: FY2027 Q2 revenue of $96.22 billion, a year-over-year increase of 106% · Data center revenue $89.02 billion, a year-over-year increase of 117% · Adjusted EPS $2.22, above consensus expectations of $2.09 · Q3 revenue guidance $108 billion, higher than consensus expectations of about $104 billion · Q2 gross margin 75%, Q3 guidance 74%, Q4 expected to further decline to 71%-72% · Supply commitment surged from $119 billion to $279 billion · After-hours stock price rose about 4% to $218 · This quarter, $26 billion returned to shareholders

Section One — The Actual Numbers

Let’s clarify in simple terms what Nvidia actually reported.

For the quarter ending July 26, 2026, revenue was $96.22 billion, a year-over-year increase of 106%, and an 18% quarter-over-quarter increase from Q1's $81.61 billion, exceeding approximately $92.1 billion in analyst consensus expectations by 4.5%. The $96 billion in a single quarter exceeds the annual GDP of many countries and surpassed Nvidia’s total revenue for the entire fiscal year 2023.

Data center revenue was $89.02 billion, a year-over-year increase of 117%, with an 18% quarter-over-quarter growth. The data center now accounts for about 93% of Nvidia’s total revenue. The combined revenue of all other segments—gaming, automotive, professional visualization, and edge computing—totaled only $7.2 billion, which is nearly negligible compared to the $89 billion from data center business.

The adjusted earnings per share were $2.22, surpassing the consensus expectation of $2.09 by about 6.2%. The GAAP earnings per share were $2.46, which included a gain of $7.8 billion from equity investments (including stakes in Intel and SpaceX). The GAAP net profit reached $59.7 billion, a year-over-year increase of 126%. The gross margin remained at 75% under both GAAP and non-GAAP standards, unchanged from the previous quarter, and improved by 250 basis points from a year ago's 72.5%.

The Q3 revenue guidance was set at $108 billion (plus or minus 2%), while analysts had previously estimated around $104 billion, exceeding by about $4 billion—this forward-looking figure is what the market is most focused on.

Nvidia founder and CEO Jensen Huang declared in the press release: "AI has reached a turning point. It is doing valuable work. Every single token has productivity and profitability. Now, compute power is revenue."

Educational Note: Nvidia’s fiscal year precedes the calendar year. When the company reports "FY2027 Q2" performance in August 2026, it refers to the three months ending July 26, 2026. This timing convention is worth remembering: financial media typically refer to it as "August 2026 earnings report," while Nvidia labels it as fiscal year 2027; both refer to the same set of numbers.

Section Two — Where the Growth Comes From

The story of Nvidia in 2026 is fundamentally about a single driver: all major tech companies worldwide are racing to build AI infrastructure, and Nvidia produces the chips that are indispensable to them.

The four largest hyperscale cloud providers—Alphabet, Amazon, Meta, and Microsoft—reported a total capital expenditure of $166 billion for the quarter ending June 2026, an increase of 87% year-over-year and 27% quarter-over-quarter. Over the ten quarters since early 2024, their cumulative capital expenditures have grown by 272%. CFO Colette Kress disclosed that the capital expenditures of the top five hyperscale cloud providers are expected to rise from about $800 billion in 2026 to approximately $1.3 trillion in 2027. Much of this spending is flowing into Nvidia’s data center business.

Within the data center itself, hyperscale cloud providers contributed $48.7 billion in revenue, a year-over-year increase of 102%. However, the more notable growth came from other directions—AI cloud, industrial, and enterprise customers (ACIE) contributed $40.3 billion, a year-over-year increase of 138% and a quarter-over-quarter increase of 25%. The customer base is diversifying in real terms: AWS plans to deploy an additional 2 million Nvidia GPUs, SpaceX has indicated it will build its AI infrastructure entirely on Nvidia, and government-led sovereign AI projects have also become a significant revenue source.

One of the most noteworthy figures in the entire report is not a revenue item. The supply commitment surged from $119 billion at the end of Q1 to $279 billion at the end of Q2—more than doubling in a single quarter—largely related to memory procurement needed for the Vera Rubin platform. This locks in a considerable amount of future revenue that has yet to ship, serving as the clearest evidence that the demand Nvidia sees is not predictive but rather a committed order book.

The next-generation platform, Vera Rubin, began mass production as scheduled in Q3, expected to account for about 20% of Q3 data center revenue. The CFO guided that revenue growth for fiscal year 2028 is around 70%, specifically indicating that this is a result of supply constraints. Jensen Huang stated: "Although demand is far beyond the 70%, our supply enables us to be confident in achieving 70%."

Section Three — Gross Margin: Why This is the Most Watched Figure

In after-hours trading, when the complete picture—revenue exceeding expectations, EPS exceeding expectations, $108 billion guidance, and $279 billion supply commitment—was presented to investors, the stock price immediately rose about 4% to around $218. However, amid this positive reaction, the most debated topic was not top-line revenue but the trend in gross margin.

Nvidia guided Q3 gross margin at 74%, down by 1 percentage point from the recently achieved 75%. A 1 percentage point drop in gross margin at a revenue scale of $108 billion means a decrease of over $1 billion in quarterly gross profit. The CFO further guided Q4 gross margin to 71% to 72%.

The underlying reason is rising memory costs. Management clearly stated that the increases in memory costs have surpassed previous expectations and are anticipated to be "even higher" next year. Most of the $279 billion supply commitment is related to memory procurement—prices for high-bandwidth memory (HBM) embedded in each Nvidia GPU continue to rise. Earlier this month, Nvidia notified customers that it would increase the prices of AI servers by over 15% to cope with the soaring memory costs, but the cost increases have exceeded the extent to which costs can be passed on to customers, pressuring overall gross margin.

This directly resonates with what we recorded in the memory supercycle report and SK Hynix report. SK Hynix achieved a 72% operating profit margin in Q1 2026, partly because Nvidia and its customers have no choice but to purchase HBM at rising prices. The cost pressure for one company translates to revenue tailwinds for another.

Why is gross margin so important even amid strong revenue growth? A simple example illustrates this. If Nvidia's revenue rises from $96 billion to $108 billion but gross margin falls from 75% to 74%, gross profit would increase from about $72 billion to about $79.9 billion—still growing, but those investors modeling $108 billion revenue at a 75% gross margin initially expected a gross profit of about $81 billion. A gap of over $1 billion per quarter, compounded over future quarters, is significant given Nvidia's scale, which explains why analysts repeatedly questioned gross margin on the conference call, even when revenue guidance exceeded expectations by about $4 billion.

Educational Note: Gross margin is the rate expressed as a percentage of revenue after subtracting the direct costs of goods sold. From every $1 of revenue Nvidia collected in Q2, it retained $0.75 after paying for parts, manufacturing, and assembly costs. When this ratio falls to $0.74 in Q3 and potentially to $0.71 to $0.72 in Q4, even slight differences in each dollar mean billions of dollars, given Nvidia's revenue scale. Hardware companies with a 75% gross margin are extremely rare—Apple achieves 49%, while most semiconductor companies operate in the 50% range. The question investors are now most concerned about is: where is the bottom of this number?

Section Four — What the Larger Numbers Tell You

Stepping back from the quarterly numbers, several structural facts about Nvidia’s business become clear.

Business is Highly Concentrated in AI Infrastructure. Data centers account for approximately 93% of total revenue, and Nvidia has effectively become a single product company performance-wise. If spending on AI infrastructure slows for any reason, the revenue impact will be immediate and significant.

Customer Concentration is Real but Improving. Hyperscale cloud providers remain the major buyers, contributing $48.7 billion; however, ACIE is catching up at $40.3 billion with faster growth, which is a positive sign of structural improvement. A more diversified customer base reduces the impact of a single buyer's decision on Nvidia’s performance.

Supply, not Demand, Constraints Growth. Jensen Huang's words are clear: the demand growth without supply constraints is "far more than" the 70% guidance. Nvidia currently has orders exceeding its capacity, and any supply chain disruption will immediately affect revenue realization capabilities.

$279 billion in Commitments is the Most Underestimated Figure. The supply commitments within the quarter surged from $119 billion to $279 billion, largely related to memory procurement, transmitting more confidence in future demand than any verbal guidance. This represents real funding committed to real supply partners.

Substantial Shareholder Returns. Nvidia returned $26 billion to shareholders this quarter through buybacks and dividends, with $99 billion remaining for buybacks, and issued $25 billion in senior unsecured notes. With free cash flow of $21.1 billion for a single quarter, Nvidia's quarterly free cash flow exceeds the annual levels of most S&P 500 companies, even amid gross margin compression.

Section Five — The Most Important Statement from Jensen Huang

"AI has reached a turning point. It is doing valuable work. Every single token has productivity and profitability. Now, compute power is revenue."

The expression "compute power is revenue" is new and deliberate. This is the first clear declaration: companies are not only investing in AI infrastructure but that this infrastructure is already yielding valuable, quantifiable economic returns. This is precisely the shift the entire investment community has been waiting for—a leap from AI being an investment rationale to AI being a profitability rationale.

If Jensen Huang's assessment is accurate, it's the most compelling structural argument for sustained demand. If it's premature—if the time required to generate economic returns from the AI infrastructure built between 2024 and 2026 is longer than expected—the capital expenditure cycle driving Nvidia's extraordinary growth could hit a turning point. The answer to this question will determine whether the current wave of AI infrastructure building represents a lasting structural change or ultimately trends toward a milder investment cycle.

Section Six — How This Relates to Everything We’ve Reported Previously

Nvidia’s FY2027 Q2 performance is profoundly related to nearly every significant theme of this reporting series.

The $166 billion capital expenditure of hyperscale cloud providers in a single quarter is the same force propelling AI-related stocks, driving the memory supercycle, boosting SK Hynix's record Q1 performance, while simultaneously compressing Nvidia's gross margin through rising HBM prices.

The absence of the Chinese market directly corresponds with the CXMT report—export controls have reduced China’s data center computing business to below 1% of Nvidia's data center revenue, creating market space for CXMT to fill domestic AI infrastructure needs.

The $279 billion commitment to memory supply connects directly with the SK Hynix IPO report and DRAM ETF report—Nvidia's procurement at this scale is one of the key demand drivers giving SK Hynix, Samsung, and Micron pricing power.

The trend in gross margin aligns with the logic in our Federal Reserve and yield reports. In an environment with risk-free rates of 3.5% to 3.75%, investors need high and stable profit margins to support premium valuations. When margins contract—even from 75% to 74%—the math of valuation changes.

Section Seven — Trends to Watch Next

November Q3 earnings report in late 2026. The key metric is not revenue, but whether gross margin can stabilize at 74% or continue to drop towards the guided range of 71% to 72%. The trajectory of gross margin will determine whether Nvidia’s current valuation level is justified.

Vera Rubin capacity ramp-up. Vera Rubin is expected to account for about 20% of Q3 data center revenue, and a faster-than-expected ramp-up with continued volume into Q4 and fiscal year 2028 has the potential to alleviate gross margin pressure, while delays would exacerbate the situation.

Memory cost trends. HBM pricing from SK Hynix, Samsung, and Micron directly influences Nvidia’s product costs. Any softening in HBM prices would directly benefit Nvidia's gross margin—while negatively impacting memory companies currently benefiting from high pricing.

Chinese policy direction. Any changes to U.S. export controls on AI chips to China will have immediate substantive impacts. The current guidance assumes this market contribution is zero.

AI monetization data. Jensen Huang said "compute power is revenue," and the investment community will closely monitor evidence of AI infrastructure generating quantifiable economic returns.

Projected $1.3 trillion capital expenditure by hyperscale cloud providers in 2027. CFO Kress disclosed that the capital expenditures of the top five hyperscale cloud providers are expected to rise from about $800 billion in 2026 to approximately $1.3 trillion in 2027. If this figure comes to fruition, Nvidia’s growth trajectory will continue into fiscal year 2028 and beyond, constrained only by supply.

Conclusion

Nvidia’s FY2027 Q2 results are extremely strong by any objective standard: revenue more than doubled, data center growth of 117%, guidance exceeding expectations by approximately $4 billion, supply commitments soaring from $119 billion to $279 billion, and stock price rising about 4% in after-hours.

However, amid this positive market reaction, the main focus for investors is the gross margin trajectory over the next two quarters: from Q2's 75% to Q3's guidance of 74%, and then Q4's expected range of 71% to 72%. This stepped decline reflects the management's clear indication that cost pressures for memory will "continue to rise."

Nvidia remains the most important single company in the AI infrastructure story. Its revenue scale, software moat built through CUDA, platform leadership from Blackwell to Vera Rubin, and the $279 billion supply commitment representing locked-in future demand are undeniable.

What the market is currently pricing in is the trend in gross margin—and whether strong revenue growth can sufficiently counteract the contraction in profitability per dollar of revenue.

The answer will be revealed in late November.

Data as of August 27, 2026. Source: Nvidia official press release and SEC Form 8-K (August 26, 2026); Nvidia official press release via GlobeNewswire; AlphaStreet Q2 FY27 earnings report; CNBC earnings real-time updates; 24/7 Wall St.; Tom's Hardware; BigGo Finance; FinanceFeeds; Benzinga; Kiplinger; RexShares; Robinhood market data; CNN Markets; NextPlatform; Shacknews.

Disclaimer:

This article is intended for market information sharing and investor education only and does not constitute any investment, trading, financial, legal, or other professional advice, nor does it constitute any recommendation, offer, or solicitation for any securities, financial products, or investment strategies. The opinions, data, and forecasts contained herein are based on publicly available information and the author's judgment, and may contain errors, omissions, or biases; relevant data and opinions may be adjusted as market and company information change. Past performance does not represent future results, and investors should independently assess and bear any associated risks based on their individual circumstances.

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