Nvidia (NVDA) Stock on December 8, 2025: 10 Things to Know Before the Market Opens

As U.S. markets prepare to reopen on Monday, December 8, 2025, Nvidia Corporation (NASDAQ: NVDA) sits at the center of the AI rally, geopolitics, and an emerging energy crunch. Here’s a comprehensive pre‑market briefing based on the latest news, forecasts, and analysis published on December 7, 2025 and the days just before.

1. Where Nvidia Stock Closed Before Monday’s Open

As of Friday, December 5, 2025, Nvidia shares:

• Closed: $182.41, down 0.53% on the day
• Market cap: about $4.43 trillion
• 52-week range: $86.62 – $212.19
• Trailing EPS (TTM): ~$4.04
• Trailing P/E: ~45
• Forward P/E: ~26
• Dividend: $0.04 annually (yield ~0.02%)
• Beta: ~2.3 (high volatility vs the S&P 500) ^[1]

From a trend standpoint, Nvidia now trades:

• Below its recent peak of ~$212 but far above the spring low below $87 after the U.S.–China trade and export‑control scare. ^[2]
• Slightly below its 50‑day moving average (~$187.13) but above its 200‑day moving average (~$172.08), suggesting a pullback within a longer‑term uptrend. ^[3]

Recent earnings snapshot

In its most recent reported quarter (fiscal Q3 FY26, released November 19):

• Revenue: $57.01 billion, up 62.5% year‑over‑year
• EPS: $1.30 vs $1.23 expected
• Net margin: about 53%
• Return on equity: ~99% ^[4]

These numbers are why the stock still commands a premium multiple despite lingering worries about AI froth.

2. Fresh Analyst Targets and Forecasts as of December 7

Morgan Stanley: $250 price target, 38% upside

On December 4, Morgan Stanley analyst Joe Moore raised his Nvidia price target from $235 to $250, implying roughly 38% upside from around $181 at the time. ^[5]

Key points from his work:

• Nvidia still holds an estimated 70–95% share of AI accelerators and data‑center GPUs. ^[6]
• Field checks in the U.S. and Asia suggest no meaningful market‑share loss despite rising competition from Google TPUs and AMD. ^[7]
• Customers remain loyal because of Nvidia’s performance, software ecosystem, and ability to deliver complete systems quickly, not just chips. ^[8]

Moore’s $250 target now sits in line with Wall Street’s broader consensus, which CoinCentral pegs around $250.66, with the high end of estimates reaching roughly $352. ^[9]

Street consensus: still a “Strong Buy”

Aggregated data show:

• 39+ analysts rate NVDA a “Strong Buy”.
• The average 12‑month price target is around $248–259, implying roughly 35–40% upside from Friday’s close. ^[10]

So despite the recent pullback and AI‑bubble chatter, the sell‑side remains decisively bullish going into Monday.

3. Big Weekend Piece: “Nvidia Will Breeze Past $300 in 2026”

One of the most influential articles dated December 7, 2025 is Motley Fool’s “Prediction: Nvidia Stock Is Going to Soar Past $300 in 2026” by Anthony Di Pizio. ^[11]

The thesis rests on three pillars:

1. AI GPU dominance and product roadmap
   • Nvidia’s data‑center GPUs (currently Blackwell Ultra) are positioned as the “gold standard” for AI training and inference. ^[12]
   • In 2026, Nvidia plans to launch the Rubin architecture, expected to be over 3x more powerful than Blackwell Ultra, which itself offers up to 50x the performance of 2022’s Hopper H100 in certain workloads. ^[13]
   • If demand is already outstripping supply today, another major performance leap could reinforce Nvidia’s pricing power.
2. Aggressive revenue and earnings forecasts
   • Management guidance points to about $212 billion in revenue for fiscal 2026 (year ending January 31, 2026), with roughly 90% coming from data centers. ^[14]
   • Wall Street’s consensus projects revenue jumping to about $313 billion in fiscal 2027 and EPS of $7.46 per share—a roughly 59% year‑over‑year earnings increase. ^[15]
3. Valuation math that points above $300 Using those forecasts, the article notes:
   • On trailing non‑GAAP EPS of about $4.05, Nvidia trades around 45x earnings, a discount to its 10‑year average multiple (~61x). ^[16]
   • On the fiscal‑2027 EPS forecast, the forward P/E drops to about 24x. ^[17]
   • To keep its current multiple, the stock would need to rise roughly 80–150%, which implies a notional range in the $330–450 area; hence the “past $300” call. ^[18]

Important caveat: this is a bullish scenario from a single commentator, not a guarantee. It assumes:

• AI data‑center capex continues accelerating through 2026–27.
• Nvidia holds its dominant share and thick margins in the face of intensifying competition.
• No major shock from regulation, export controls, or a macro downturn.

4. Long‑Term Scenarios: Bull, Base and Bear for 2030

A December 5 analysis from 24/7 Wall St. lays out 2030 price scenarios for Nvidia: ^[19]

• Bull case: ~$491 per share (≈168% above current levels)
• Base case: ~$265 (≈45% above current levels)
• Bear case: ~$38 (≈79% downside)

These scenarios hinge on three drivers:

1. AI infrastructure dominance – whether Nvidia can sustain something like 60–80% share of the AI accelerator market into 2030. ^[20]
2. Data center expansion – whether data‑center revenue can keep compounding from tens of billions today to possibly $200–350 billion by 2030. ^[21]
3. Margin preservation – whether its ~70% gross margins and >50% net margins survive as competitors catch up. ^[22]

The bear case is essentially the “AI narrative fails or stalls” scenario: demand slows, hyperscalers stop overbuilding AI capacity, and Nvidia reverts to being “just” a high‑end GPU company. ^[23]

For Monday’s open, these scenario analyses matter because they frame how sensitive NVDA is to any news that either reinforces or contradicts the AI‑supercycle narrative.

5. Street Positioning: Earnings Momentum, Institutional Flows and Insider Sales

Earnings momentum and analyst ratings

• Nvidia’s full‑year 2024 revenue was about $130.5 billion, up 114% year‑on‑year, with net income rising about 145% to $72.9 billion. ^[24]
• Trailing‑12‑month revenue has already climbed to roughly $187 billion, with net income around $99 billion. ^[25]

That growth explains why:

• 46+ analysts rate NVDA a “Buy” or “Strong Buy”, with only a handful of holds and a single sell, according to MarketBeat. ^[26]
• MarketBeat’s collated price target sits around $258.65. ^[27]

Institutional buying vs insider selling

A December 7 MarketBeat note highlights:

• Slagle Financial LLC increased its Nvidia stake by 13.7% in Q2 to 81,544 shares, making NVDA its largest holding (5.2% of the portfolio). ^[28]
• Overall, about 65% of Nvidia’s stock is owned by institutions. ^[29]

At the same time, insiders have been monetizing gains:

• Director Harvey Jones sold 250,000 shares (≈$44 million).
• CEO Jensen Huang sold 75,000 shares (≈$13.3 million).
• In total, insiders sold around 2.95 million shares worth $531.6 million in the latest quarter, though insiders still hold over 4% of the company. ^[30]

For traders on Monday, this combination—institutional accumulation plus material insider selling—can feed both bullish and cautious narratives.

6. Strategic Themes in December 7 Coverage

6.1 AI demand is enormous – and still largely supply‑constrained

Several recent pieces stress that demand for Nvidia’s AI GPUs remains far ahead of supply:

• Nvidia’s CEO has publicly talked about a $4 trillion annual data‑center capex opportunity by 2030, much of which should involve GPUs and networking hardware. ^[31]
• The company has bookings of about $500 billion through 2026 for its advanced chips, according to CFO Colette Kress. ^[32]
• A proposed up to $100 billion deal with OpenAI—still only a letter of intent—is not included in that $500 billion backlog and would be incremental if finalized. ^[33]

Kress’s comments at the UBS Global Technology and AI Conference last week reinforced that:

• Nvidia is still negotiating final terms with OpenAI.
• It also committed up to $10 billion to Anthropic, another top‑tier AI customer. ^[34]

Net takeaway heading into Monday: multi‑year visibility on demand is high, but investors are increasingly sensitive to concentration risk and “circular” deals between Nvidia and AI startups.

6.2 Energy: Jensen Huang says the AI bottleneck is power, not chips

A widely‑shared December 7 CoinCentral article summarizing Jensen Huang’s recent appearance on Joe Rogan put a new spotlight on energy as a constraint for Nvidia’s growth. ^[35]

Key points:

• Huang argued that AI is now limited more by electricity than by chips.
• He described modern AI data centers as “gigawatt factories” that the existing grid can’t easily support. ^[36]
• He predicted that within 6–7 years, large tech companies will run small nuclear reactors located near data centers to secure reliable power. ^[37]
• Goldman Sachs expects data‑center energy use to rise 175% by 2030 vs 2023 levels, while the International Energy Agency projects data centers will consume about 945 TWh of electricity by 2030 (up from ~415 TWh in 2024). ^[38]

For Nvidia investors, this matters because:

• Power availability is now part of the “AI infrastructure” thesis.
• If energy constraints delay or cap data‑center expansion, that could slow GPU demand—even if AI interest stays strong.
• Huang’s vocal support for nuclear indirectly validates long‑dated nuclear and grid‑modernization plays tied to Nvidia’s ecosystem.

6.3 Competition: Amazon, Chinese chipmakers and AMD

Amazon’s Trainium challenge

A December 3 TechCrunch report from AWS re:Invent highlighted Amazon’s aggressive push into Nvidia’s turf: ^[39]

• Amazon’s Trainium2 AI chip already supports a multi‑billion‑dollar revenue run rate, with 1 million+ chips in production and over 100,000 companies using it, mainly via AWS Bedrock. ^[40]
• The new Trainium3 is said to be 4× faster and more power‑efficient than Trainium2. ^[41]
• AWS is designing the future Trainium4 to interoper­ate directly with Nvidia GPUs in the same systems—potentially allowing customers to mix and match. ^[42]

That doesn’t dethrone Nvidia overnight, but it reinforces a trend: hyperscalers want more control over AI silicon, and they’re investing heavily to reduce dependence on Nvidia over time.

Chinese challengers and export‑control risk

In the last few days:

• Chinese GPU maker Moore Threads surged about 425% on its Shanghai debut, hitting a market cap near $40 billion, positioning itself as a “homegrown” alternative to Nvidia in China. ^[43]
• However, its flagship chips still trail Nvidia’s older H100s, let alone Blackwell, and it faces competition from Huawei and others. Nvidia’s scale and technology lead remain enormous. ^[44]

On the policy front:

• A bipartisan group of U.S. senators recently introduced legislation aimed at blocking exports of top‑tier AI chips to China, directly targeting Nvidia’s high‑end products. ^[45]
• At the same time, CEO Jensen Huang has been in Washington lobbying Republicans on export‑control rules, arguing that over‑restrictive limits won’t actually stop China’s AI progress and may just cede markets to local players. ^[46]

Regulation is a real swing factor for Nvidia’s long‑term addressable market, especially in China’s AI data‑center build‑out.

Nvidia vs. AMD in 2026

A December 7 Motley Fool comparison, “Nvidia vs. AMD: Which Is the Better AI Chip Stock for 2026?”, frames the competitive landscape this way: ^[47]

• Nvidia still controls over 90% of the data‑center GPU market, thanks largely to its CUDA software ecosystem and tightly integrated networking (NVLink, InfiniBand/Ethernet). ^[48]
• AMD is gaining ground particularly in AI inference and has secured a major stake‑linked deal with OpenAI that could be worth up to $200 billion in GPU sales over time. ^[49]
• Nvidia looks cheaper on a forward P/E basis than AMD (roughly mid‑20s for Nvidia vs mid‑30s for AMD), but the article gives AMD a slight edge for 2026 upside because smaller absolute scale makes it easier for incremental gains to move the needle. ^[50]

For Monday’s trade, the message is simple: Nvidia is still the dominant AI chip platform, but credible alternatives are multiplying.

6.4 Quality status, factor rotations and AI bubble talk

The weekend also brought more cautionary framing:

• The Wall Street Journal reported on why Nvidia and other AI high‑flyers have been dropped from a major “quality” ETF, arguing that elevated volatility and extreme valuations clash with traditional definitions of “quality” factor exposure. ^[51]
• A MarketWatch‑highlighted analysis listed Nvidia among the most vulnerable AI stocks if an AI bubble pops, noting that roughly 90% of its revenue now comes from data centers. ^[52]
• A Complete Intelligence “Weekly Outlook” for December 8 points to capital rotating out of crowded mega‑cap AI names like Nvidia and into “second‑derivative” plays such as networking and infrastructure stocks (for example, Marvell). ^[53]

This doesn’t mean Nvidia’s run is over, but it does mean that flows and factor positioning may not be as supportive as they were earlier in the year.

7. Macro Backdrop: Fed Week Starts as the Market Opens

The week of December 8, 2025 is dominated by the Federal Reserve’s final FOMC meeting of the year, scheduled for December 9–10. ^[54]

Recent reporting from Reuters and others notes: ^[55]

• Markets are pricing in a high probability of a 25‑bp rate cut, but the FOMC is deeply split.
• The risk of multiple dissents and a more hawkish‑than‑expected message has risen.
• With tech and AI valuations already under scrutiny, any upside surprise in real yields or a hawkish Fed tone could hit NVDA disproportionately, given its high multiple and rate sensitivity.

For Monday’s open specifically, there are no major U.S. data releases scheduled, so price action will likely be driven by:

• Positioning and hedging ahead of Wednesday’s Fed decision.
• Ongoing rotation inside tech (toward or away from mega‑cap AI). ^[56]

8. Key Levels and Metrics to Watch on December 8

If you’re trading or closely tracking Nvidia at the open, here are some practical reference points:

1. Price levels
   • Support zone: 200‑day moving average around $172; a decisive break below would signal a deeper correction. ^[57]
   • Near‑term resistance: 50‑day moving average near $187 and the psychologically important $200 level. ^[58]
   • Major resistance: the 52‑week high around $212.
2. Valuation
   • Trailing P/E near 45 vs a 10‑year average over 60; forward P/E in the mid‑20s based on 2026–27 estimates. ^[59]
   • Consensus 12‑month target in the $250–260 area, Morgan Stanley at $250, and some bullish 2026 pieces pointing north of $300. ^[60]
3. News sensitivity
   • Any update on the OpenAI $100B deal, Anthropic commitments, or new hyperscaler orders. ^[61]
   • Headlines about the U.S. Senate export‑control bill or shifts in China policy. ^[62]
   • New commentary on AI valuations, including from the Fed or major strategists.

9. Bullish vs Bearish Arguments Going Into Monday

Bullish case (short‑term and long‑term)

• Explosive fundamental growth: triple‑digit revenue and earnings growth with margins over 50%. ^[63]
• Dominant market position: 70–95% share in AI accelerators and >90% in data‑center GPUs, reinforced by CUDA and networking. ^[64]
• Multi‑year demand visibility: $500B+ in bookings through 2026, pending multi‑billion deals with OpenAI and Anthropic on top. ^[65]
• Street support: Strong Buy consensus, rising price targets (e.g., Morgan Stanley’s $250), and multiple analyses that see room for the stock above $300 in 2026. ^[66]

Bearish / risk case

• Valuation risk: even after the pullback, Nvidia trades at a substantial premium to the broader market and to many chip peers; a sharp sentiment shift or rate spike could compress multiples quickly. ^[67]
• Regulatory and geopolitical overhang: export‑control rules, proposed new legislation, and China’s domestic GPU push all threaten long‑term access to a strategic market. ^[68]
• Competition from hyperscalers: Amazon’s Trainium, Google TPUs, and AMD’s growing AI portfolio are credible alternatives and could pressure Nvidia’s pricing and share over time. ^[69]
• Energy bottlenecks: if power availability lags AI demand, GPU roll‑outs could be delayed, even if Nvidia has the chips and orders in hand. ^[70]
• AI‑bubble narrative: mainstream outlets (WSJ, MarketWatch, 24/7 Wall St.) now openly discuss whether Nvidia is the most vulnerable big AI stock if the bubble deflates, especially since so much of its revenue is concentrated in one segment. ^[71]

10. What This Means for Monday’s Open

Going into December 8, 2025, Nvidia faces a tug‑of‑war between:

• Exceptionally strong fundamentals and bullish Street forecasts, including a fresh wave of weekend pieces arguing the stock can surpass $300 in 2026; ^[72]
• Rising macro and policy uncertainty, as the Fed meeting, China export politics, and a visible rotation into second‑tier AI infrastructure names raise volatility risk. ^[73]

For short‑term traders, that likely translates into:

• Elevated intraday swings around key technical levels ($172–$212).
• Sensitivity to any headline about the Fed, China, or Nvidia’s big AI customers.

For long‑term investors, the weekend research reinforces a simple but critical question:

Do you believe the AI infrastructure super‑cycle—and Nvidia’s dominance within it—can last long enough to justify multi‑trillion‑dollar valuations through 2030?

Whatever your answer, position sizing and risk management matter more here than clever price targets.

Not investment advice. This article is for informational and educational purposes only and does not constitute financial, investment, or trading advice. Always do your own research or consult a licensed financial professional before making investment decisions.

References

1. stockanalysis.com, 2. 247wallst.com, 3. www.marketbeat.com, 4. www.marketbeat.com, 5. coincentral.com, 6. coincentral.com, 7. coincentral.com, 8. coincentral.com, 9. coincentral.com, 10. stockanalysis.com, 11. finviz.com, 12. finviz.com, 13. finviz.com, 14. finviz.com, 15. finviz.com, 16. finviz.com, 17. finviz.com, 18. finviz.com, 19. 247wallst.com, 20. 247wallst.com, 21. 247wallst.com, 22. 247wallst.com, 23. 247wallst.com, 24. stockanalysis.com, 25. stockanalysis.com, 26. www.marketbeat.com, 27. www.marketbeat.com, 28. www.marketbeat.com, 29. www.marketbeat.com, 30. www.marketbeat.com, 31. finviz.com, 32. www.reuters.com, 33. www.reuters.com, 34. www.reuters.com, 35. coincentral.com, 36. coincentral.com, 37. coincentral.com, 38. coincentral.com, 39. techcrunch.com, 40. techcrunch.com, 41. techcrunch.com, 42. techcrunch.com, 43. www.ft.com, 44. www.barrons.com, 45. www.bloomberg.com, 46. www.latimes.com, 47. finviz.com, 48. finviz.com, 49. finviz.com, 50. finviz.com, 51. stockanalysis.com, 52. stockanalysis.com, 53. completeintel.com, 54. www.federalreserve.gov, 55. www.reuters.com, 56. tradingeconomics.com, 57. www.marketbeat.com, 58. www.marketbeat.com, 59. finviz.com, 60. coincentral.com, 61. www.reuters.com, 62. www.bloomberg.com, 63. www.marketbeat.com, 64. coincentral.com, 65. www.reuters.com, 66. coincentral.com, 67. stockanalysis.com, 68. www.bloomberg.com, 69. techcrunch.com, 70. coincentral.com, 71. stockanalysis.com, 72. finviz.com, 73. www.reuters.com