Current Share Price and Valuation Overview
- Share price: around $181 (during U.S. trading hours on 11/19)
- 52-week range: $86.62–$212.19
- From the 1-year low, the stock has more than doubled.
- Market cap: around $4.4 trillion (roughly the 2nd–3rd largest in the world)
- TTM PER (price-to-earnings ratio): roughly 51–55x
“Based on current earnings alone the stock looks expensive, but it is a growth stock that has already priced in very strong expectations for AI-driven growth over the next 2–3 years.”
Recent Earnings and Business Developments
(1) Most Recently Reported Results: Q2 FY2026 (as of July 2025)
NVIDIA announced its results for Q2 FY2026 (April–July 2025) in August 2025.
- Revenue: $46.6 billion (up 56% year-on-year, up 6% quarter-on-quarter)
- Data center revenue:$41.1 billion (up 56% year-on-year)
- Accounts for an overwhelming share of total revenue
- Non–data center segments such as gaming, professional visualization, and automotive all recorded double-digit growth
- Non-GAAP gross margin: still very high at around 72.7%
- Net income: about $26.4 billion, up 59% year-on-year
Demand for data centers—especially AI servers based on the Blackwell architecture—is explosive, and as networking products such as Spectrum-X and NVLink grow alongside them, NVIDIA is effectively laying down the entire AI infrastructure stack on its own platform.
(2) Q3 FY2026 Earnings Scheduled for Tonight (Not Yet Announced)
- Company guidance: Q3 revenue of $54 billion (±2%)
→ Implies about +56% year-on-year growth
Reuters and brokerage houses view this earnings release as:
“An event that will test whether the AI boom is a bubble or a phase of genuine long-term growth.”
At this point, we have confirmed results up to Q2 plus very strong guidance for Q3, and depending on what the company actually reports tonight (U.S. time), the share price could swing sharply in the short term.
NVIDIA’s Business Structure and Growth Drivers
1) Data Centers and AI GPUs (Core Growth Engine)
- In Q2, out of the $46.6 billion in total revenue, data centers accounted for more than 80%.
- The company sells AI server GPUs (Hopper H100/H200, Blackwell B100/B200, GB200, etc.) bundled together with networking and platform components like NVLink and Spectrum-X.
- Demand for the H200 and Blackwell platforms is expected to exceed supply through 2026.
- The CFO has described demand for Blackwell as “staggering,” saying that roughly 12 months’ worth of capacity is already sold out.
- CEO Jensen Huang has repeatedly emphasized that “demand for Blackwell is very strong.”
→ In other words, a substantial portion of global AI data center CAPEX is flowing into NVIDIA.
2) Gaming, AI PCs, and Automotive
- Thanks to the RTX 50 series, gaming revenue hit an all-time high of $4.28 billion in Q2 (up 49% year-on-year).
- Since many consumer GPUs are now used for both gaming and small-scale AI computation (local LLMs, generative AI, etc.), the company even uses the phrase “Gaming and AI PC” in its reports.
- Revenue from automotive and robotics (Drive, robotics platforms) is also growing rapidly.
Outlook – Positive Factors
① Biggest Beneficiary of the AI Data Center Supercycle
- Various research reports expect H200 and Blackwell demand to outstrip supply through 2026.
- Firms such as Melius Research have raised their estimates for data center revenue growth in 2027 to around 30%.
- The AI infrastructure CAPEX of the four major cloud giants (Amazon, Microsoft, Google, Meta) is expected to expand over the next few years into the hundreds of billions to trillions of dollars, and a significant portion of that spending is likely to go to NVIDIA’s platform.
② Blackwell and the Next-Generation Roadmap
- For 2025–2026, Blackwell (B100/B200, GB200) is projected to account for over 80% of high-end GPU shipments.
- The roadmap even beyond that—up to Rubin (the generation after Blackwell)—has already been made public, which gives customers a strong incentive to stay locked into the NVIDIA ecosystem.
③ Huge Cash Pile and Exceptional Profitability
- In Q2, NVIDIA posted an almost unbelievable gross margin in the low 70% range and a net margin in the 50% range.
- Cash and cash equivalents have grown substantially, and the company is conducting very aggressive share buybacks (including an additional $6 billion authorization).
→ In summary, as long as AI infrastructure investment continues over the next 2–3 years, the prevailing view in the market is that the absolute level of NVIDIA’s earnings can continue to grow very strongly.
Risks and Points of Caution
① Valuation (Share Price Level) Pressure
- A PER in the 50x range and a $4.4 trillion market cap represent a very high valuation even in the context of semiconductor/IT history.
- Reuters and some other outlets describe this Q3 earnings release as a watershed moment that could determine whether we are in an AI bubble or a phase of genuine long-term growth—reflecting an ongoing clash between bubble concerns and the long-term growth story.
② China and Export Control Risk
- In Q2, sales of H20 chips to China were virtually zero, and U.S. export controls are continually being tightened.
- The Chinese government is also restricting domestic companies from purchasing NVIDIA AI chips and accelerating efforts to foster homegrown alternatives.
- Policy think tanks estimate that before these regulations, 20–40% of NVIDIA’s revenue may have come from China, implying that shifts in policy direction can cause significant volatility in revenue, and this remains an ongoing risk.
③ Concerns About Slowing Growth
- Right after the Q2 earnings release, there were reactions along the lines of: “Growth is still massive, but since it’s not as steep as before, the stock is selling off on disappointment.”
- It will inevitably become harder and harder in practical terms for revenue to keep growing at 50–60% every year; once growth slows into the 20–30% range, concerns about PER re-rating (multiple compression) could emerge.
④ Intensifying Competition (AMD, Intel, Custom ASICs)
- Competition is intensifying from AMD’s MI300 family, Intel’s Gaudi line, and in-house AI accelerators developed by the big tech companies (Google TPU, AWS Trainium/Inferentia, etc.).
- Many still believe that NVIDIA’s ecosystem and CUDA software lock-in are so strong that its position will not collapse in the short term, but in the longer run this could become a source of margin pressure.
Summary from an Individual Investor’s Perspective
Short-Term View (Within 1 Year)
- Going forward, each piece of news on AI CAPEX, export controls, and China-related developments is likely to cause significant volatility in the share price.
- At a high valuation with a PER in the 50x range,
- even a slight miss versus expectations could trigger sharp short-term corrections, while
- confirmation that “growth is not slowing as much as feared” could drive another strong rally.
Medium- to Long-Term Scenarios (3–5 Years)
- Bull (Best) Scenario
- AI infrastructure investment continues strongly through around 2030,
- the roadmap from Blackwell to Rubin proceeds smoothly, and
- data center, networking, and software/service revenues grow together.
→ NVIDIA maintains a high valuation for an extended period as an “AI infrastructure platform” company.
- Base (Neutral) Scenario
- Growth continues, but the growth rate settles into the 20–30% range,
- margins come under some pressure from competition and regulation.
→ The share price does not collapse, but remains in a trading range or gentle uptrend around current levels.
- Bear (Weak) Scenario
- China and regulatory issues drag on, competitors gain ground,
- and customers increasingly use their own in-house chips.
- AI as a whole keeps growing, but NVIDIA’s share of the pie shrinks.
→ This leads to valuation adjustment (multiple compression) and the possibility of a significant price correction.
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