How to buy Qualcomm stock.
Qualcomm designs the chips inside most Android smartphones and increasingly targets on-device AI inference. Its Snapdragon X Elite processors run large language models locally, without a cloud connection. Edge AI inference is a growing segment as AI moves from data centers to devices, and Qualcomm is one of the leading chip designers for that transition.
- Market cap
- $173.03B
- P/E ratio
- 18.8
- Revenue (TTM)
- $44.07B
- Revenue growth (YoY)
- -4.0%
- 52-week range
- $121.99 – $259.92
- Day range
- $163.18 – $166.97
- Volume
- 5.80M
- Analyst target
- $194.77
What Qualcomm does.
Qualcomm is the leading designer of mobile SoCs and wireless modems, and increasingly a champion of on-device (edge) AI. Its Snapdragon chips power most premium Android phones, and its Snapdragon X processors bring NPUs capable of running language models locally to Windows PCs. Its licensing arm (QTL) collects royalties on essentially every 3G/4G/5G handset sold.
The AI thesis is a diversification story: as inference moves partly to the edge for latency, cost, and privacy reasons, Qualcomm's NPU volume across phones, PCs, cars, and IoT could re-rate the business away from smartphone cyclicality. Automotive is its fastest-growing new market. Fabless, it relies on TSMC and Samsung for manufacturing.
Business segments
- QCT, Handsets
Snapdragon SoCs for smartphones.
- QCT, Automotive
Snapdragon Digital Chassis for cars, fastest-growing.
- QCT, IoT / PC
Snapdragon X for AI PCs and edge devices.
- QTL, Licensing
High-margin patent royalties on cellular standards.
Key products
Why Qualcomm is an AI stock.
Qualcomm's NPU (neural processing unit) in its Snapdragon chips runs AI inference locally on phones, laptops, and automotive platforms. On-device AI reduces latency, cost, and privacy concerns compared to cloud inference. If AI moves significantly to the edge, Qualcomm's chip volume and margins could benefit significantly.
Qualcomm is in the AI chip designers category. The GPUs and custom accelerators that train and serve every frontier AI model. Chip designers sit at the center of the AI hardware stack.
Qualcomm in the AI ecosystem.
How Qualcomm connects to the rest of the AI supply chain: the companies it buys from, sells to, partners with, and competes against.
Qualcomm financials.
Key figures below are drawn from Qualcomm's most recent reporting (latest quarter ending June 30, 2026). Market cap, revenue, and analyst target are shown in the stats above.
| EPS (diluted, TTM) | $8.76 |
|---|---|
| Forward P/E | 15.6 |
| Gross profit (TTM) | $23.90B |
| Profit margin | 21.0% |
| Operating margin | 18.5% |
| Dividend yield | 2.2% |
| Beta | 1.66 |
| Shares outstanding | 1.05B |
Fundamentals sourced from Alpha Vantage, last refreshed August 15, 2026. Figures are for information only, not investment advice.
How to buy Qualcomm (QCOM) step by step.
- Choose a broker. Qualcomm trades on the NASDAQ under the ticker QCOM. Any broker with access to NASDAQ can execute the trade.
- Open and fund an account. Most brokers take 5-15 minutes to open an account. You will need to verify your identity. Minimum investments vary by broker.
- Search for QCOM. Once funded, search for the ticker symbol QCOM in your broker's platform and confirm you are looking at NASDAQ.
- Place your order. Select the number of shares or a dollar amount. Many brokers offer fractional shares from as little as $1. Review any fees before confirming.
- Monitor your position. Qualcomm's share price will move with broader market conditions and AI sector news. Use stop-loss orders if you want to limit downside.
Key facts.
| Ticker | QCOM |
|---|---|
| Exchange | NASDAQ |
| Category | AI chip designers |
| Market cap size | Large cap |
| Sector | TECHNOLOGY · SEMICONDUCTORS |
| Founded | 1985 |
| Headquarters | San Diego, California |
| CEO | Cristiano Amon |
| Employees | ~49,000 |
| Fiscal year end | September |
Qualcomm in the news
See all →Frequently asked questions.
How is Qualcomm related to AI?
Qualcomm is positioned for on-device AI inference. Its Snapdragon X Elite chips include a powerful NPU that runs language models locally. This is distinct from data-center AI (Nvidia's domain) and represents a separate but growing segment of the AI market.