best US stocks to buy

2026 US Stock Market Data, Facts, and History

The year 2026 marks a pivotal phase for US stocks as the market remains dominated by three major themes: AI infrastructure, cloud computing, and digital assets. NVIDIA posted a record fiscal Q1 2027 revenue of $81.6 billion, up 85% YoY, with Data Center revenue at $75.2 billion. Broadcom also recorded 143% YoY growth in AI semiconductor revenue in Q2 FY2026, while Micron reported Q3 FY2026 revenue of $41.46 billion driven by AI memory demand.

Beyond semiconductors, cloud giants and digital platforms remain the backbone of the market. Microsoft recorded Q3 FY26 revenue of $82.9 billion, up 18% YoY; Amazon's Q1 2026 net sales reached $181.5 billion with AWS growing 28% YoY; and Meta's Q1 2026 revenue hit $56.31 billion, a 33% YoY increase.

Outside of technology, healthcare, financial, energy, and digital asset stocks remain essential for diversification. Eli Lilly grew 56% YoY in Q1 2026 due to Mounjaro and Zepbound, JPMorgan recorded Q1 2026 net income of $16.5 billion, Chevron continues to aggressively return cash to shareholders, and Strategy holds over 818,000 BTC as of May 2026.

List of the 20 Best US Stocks to Consider in 2026

No Stock Ticker 2026 Main Theme Why It Looks Attractive Best Time to Buy
1 SanDisk SNDK AI storage and NAND Potentially benefits from rising datacenter storage demand as AI infrastructure expands. When the memory and storage sector corrects after a strong rally.
2 Eli Lilly LLY Obesity and diabetes drugs Mounjaro, Zepbound, and the GLP-1 pipeline remain key growth catalysts. When the market is concerned about drug pricing or regulation.
3 Micron Technology MU HBM and AI memory Benefits from demand for high-performance memory used in AI workloads. When the chip or memory cycle enters a temporary correction.
4 Meta Platforms META AI advertising and social platforms Strong advertising business, with AI potentially improving platform monetization. When investors become overly concerned about AI spending.
5 Advanced Micro Devices AMD AI GPUs and data centers Potentially captures AI accelerator demand outside NVIDIA’s ecosystem. During a pullback in the semiconductor sector.
6 Mastercard MA Global digital payments Asset-light business model with strong exposure to global transaction volume. When the stock corrects due to consumer spending concerns.
7 Broadcom AVGO Custom AI chips and networking Benefits from custom AI accelerator demand and datacenter networking expansion. When valuation cools after a strong earnings-driven rally.
8 Microsoft MSFT Cloud, AI, and enterprise software Azure, Microsoft Cloud, and enterprise AI remain major growth engines. During a 5–10% correction or after AI capex concerns.
9 JPMorgan Chase JPM U.S. banking and financials Strong balance sheet and position as one of the largest U.S. banks provide stability. When bank stocks correct due to interest rate sentiment.
10 Tesla TSLA EV, robotaxi, and robotics Long-term upside from robotaxi and robotics, but with high volatility. Only after a major correction and with a smaller allocation.
11 Apple AAPL iPhone, Services, and ecosystem Strong device ecosystem and Services revenue support long-term resilience. When the market doubts the iPhone demand cycle.
12 Amazon AMZN AWS, e-commerce, and AI infrastructure AWS remains a core pillar for cloud and AI workloads. When margins are pressured by AI infrastructure spending.
13 Alphabet GOOGL Search, YouTube, Cloud, and AI Search remains dominant, while Google Cloud and AI add new growth catalysts. When the market punishes capex even though the core business remains strong.
14 NVIDIA NVDA AI GPU leader Leading player in AI GPUs and datacenter infrastructure. During an AI sector correction, not during FOMO-driven rallies.
15 Chevron CVX Energy and dividends Provides energy exposure and potential dividend stability within a portfolio. When oil prices weaken temporarily.
16 Palantir PLTR AI software and data analytics Enterprise and government demand for AI software remains a key catalyst. When valuation drops after AI-driven hype.
17 SpaceX SPCX Starlink and the space economy Offers exposure to satellites, global internet infrastructure, and the space industry. When post-IPO volatility or lock-up pressure starts to ease.
18 Alibaba BABA China e-commerce, AI, and cloud Could recover if China sentiment and cloud growth improve. When China-related market sentiment is extremely negative.
19 Robinhood HOOD Brokerage, crypto, and tokenization Benefits from trading activity, crypto demand, and new financial products. When market trading volume weakens temporarily.
20 Strategy MSTR Bitcoin treasury Provides leveraged exposure to Bitcoin through a public company structure. When Bitcoin corrects and valuation premium is not too high.

Why Are These 20 Stocks Worth Buying or Considering?

Stocks like NVDA, AVGO, MU, SNDK, and AMD are attractive because they sit at the AI infrastructure layer. If AI continues to evolve, companies selling GPUs, custom chips, memory, and storage will be the "shovel sellers" in this major trend. NVIDIA leads in GPUs, Broadcom is strong in custom accelerators and networking, Micron is capturing HBM demand, while SanDisk is gaining momentum from datacenter storage.

MSFT, AMZN, GOOGL, META, and AAPL are a group of mega-caps suitable for investors seeking AI exposure but with more established core businesses. Microsoft is strong in enterprise cloud, Amazon in AWS and e-commerce, Alphabet in Search and Cloud, Meta in digital advertising and consumer AI, while Apple remains strong through its device and Services ecosystem.

LLY, MA, JPM, and CVX serve as portfolio balancers. Eli Lilly provides exposure to global healthcare trends, Mastercard to digital payments, JPMorgan to the strength of the US financial sector, and Chevron to energy and dividends. This group is important because not every portfolio should be overly weighted in AI and technology.

PLTR, HOOD, MSTR, TSLA, BABA, and SPCX are high-growth or high-volatility stocks. They offer significant potential, but also carry higher risk. Palantir is growing rapidly through AI software, Robinhood is driven by catalysts in trading, tokenization, and prediction markets, MSTR is heavily dependent on Bitcoin, Tesla on robotaxis/robotics, Alibaba on China's recovery and AI cloud, while SpaceX provides public access to Starlink and the space industry.

Best Time to Buy in 2026

The best time to buy AI stocks like NVDA, AVGO, MU, SNDK, AMD, MSFT, AMZN, META, and GOOGL is during corrections driven by concerns over AI capex. Many tech companies are ramping up AI infrastructure spending, so the market may punish these stocks in the short term if free cash flow declines. However, if revenue from cloud, data centers, and AI continues to grow, such corrections can be opportunities for gradual accumulation.

For defensive and compounder stocks like LLY, MA, JPM, AAPL, and CVX, the best time to buy is usually during sector-specific negative sentiment. For example, LLY when there are concerns over drug pricing, Mastercard when consumer data weakens, JPM when bank stocks fall due to interest rates, Apple during iPhone cycle concerns, and Chevron when oil prices are correcting.

For high-risk stocks like TSLA, PLTR, HOOD, MSTR, BABA, and SPCX, the best buying time is not all at once. Use a phased strategy. Stocks like these can see massive gains, but they can also drop sharply due to valuation, regulation, margins, crypto sentiment, or post-IPO volatility.

The practical strategy:

  1. Use monthly DCA for core stocks like MSFT, AAPL, AMZN, GOOGL, META, MA, JPM, and LLY.
  2. Use buy on dip for AI stocks like NVDA, AVGO, MU, AMD, SNDK, and PLTR.
  3. Use small portions for volatile stocks like TSLA, HOOD, MSTR, BABA, and SPCX.
  4. Avoid buying after a large daily gain without a correction.
  5. Prioritize buying after earnings if the report is good but the stock drops because market expectations were too high.

Conclusion

If you had to build a portfolio of the 20 best US stocks for 2026, this list could be divided into three tiers. The first tier consists of core stocks like MSFT, AAPL, AMZN, GOOGL, META, MA, JPM, and LLY. The second layer consists of AI growth stocks such as NVDA, AVGO, AMD, MU, SNDK, and PLTR. The third layer is comprised of high-risk opportunistic stocks such as TSLA, HOOD, MSTR, BABA, CVX, and SPCX.

For long-term investors, the key is not just picking good stocks, but also buying with discipline. 2026 still offers significant opportunities, particularly in AI, cloud computing, healthcare, digital payments, and digital assets. However, since many stock valuations are already high, the best time to buy is during market corrections, not during periods of euphoria.

Questions About US Stocks

What are the best U.S. stocks to consider in 2026?

The best U.S. stocks to consider in 2026 can be grouped around major themes such as AI, cloud computing, healthcare, digital payments, energy, and digital assets. Some names often watched by investors include NVIDIA, Microsoft, Apple, Amazon, Alphabet, Meta, Eli Lilly, JPMorgan, Mastercard, Tesla, Palantir, and Strategy.

Which sectors look attractive for U.S. stocks in 2026?

Some of the most attractive sectors in 2026 include AI infrastructure, semiconductors, cloud computing, healthcare, digital payments, and digital assets. These sectors have long-term growth catalysts, but investors still need to consider valuation, volatility, and market risk.

When is the best time to buy U.S. stocks?

The best time to buy U.S. stocks is usually during healthy market corrections, after earnings pullbacks when fundamentals remain strong, or when temporary negative sentiment creates better entry points. For volatile names such as Tesla, Palantir, Robinhood, Strategy, and SpaceX, gradual buying can help reduce timing risk.

Are AI stocks like NVIDIA, AMD, and Broadcom still worth considering?

AI stocks can still be attractive if demand for data centers, AI chips, cloud infrastructure, and enterprise AI continues to grow. However, because many AI stocks have already rallied, investors should avoid buying only because of FOMO and consider waiting for corrections or using a gradual buying strategy.

Are U.S. stocks suitable for beginner investors?

U.S. stocks can be suitable for beginner investors when starting with large companies that have clear business models, such as Apple, Microsoft, Amazon, Alphabet, Mastercard, or JPMorgan. Investors should still understand risks such as market volatility, valuation risk, currency exposure, and global economic conditions.

How can users access U.S. stock exposure through Mobee?

Users can check the xStocks feature in the Mobee App to explore available tokenized U.S. stock products. Through xStocks, users can follow assets linked to global names such as Apple, Microsoft, NVIDIA, Tesla, Amazon, and others in a more practical way through Mobee.

Is this article a recommendation to buy specific stocks?

No. This article is for educational purposes only and should not be considered personal financial advice. Every investor should do independent research and match each asset with their own risk profile, investment goals, and financial condition.

Check out xStocks selections on Mobee and start tracking your favorite US stocks more conveniently. Through the Mobee App, you can explore various global stock tokens such as Apple, Microsoft, NVIDIA, Tesla, Amazon, and others all on one platform. It is perfect for those looking to start learning about US stocks in a way that is easier, more flexible, and backed by digital assets.

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