Compare semiconductor stocks in three layers: first group companies by business model, then test earnings quality across a full cycle, and finally trace AI demand to reported products or services. A low P/E or an “AI” label cannot do that work on its own: foundries, chip designers, memory makers, and integrated manufacturers have different capital needs and exposure to cycles.
Start by comparing companies with similar business models
A valuation multiple means little without context about how a company earns revenue and what it must spend to produce it. Set a peer group before looking at stock prices.
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| Business model | What the company does | What to focus on when comparing |
|---|---|---|
| Fabless designer | Designs chips and relies on external manufacturers. | Product demand, gross margin, customer concentration, and the cost and availability of manufacturing capacity. |
| Pure-play foundry | Manufactures chips designed by customers. TSMC describes itself as a pioneer of this model. | Capacity use, process technology, capital expenditure, yields, customer demand, and cash generation. |
| Memory manufacturer | Sells memory and storage products, including products used in AI systems. | Prices, supply and demand, product mix, capital spending, and earnings across both strong and weak market conditions. |
| Integrated device manufacturer (IDM) | Combines chip product operations with manufacturing; some also report foundry operations. | Separate product and foundry economics where possible, while accounting for the cost of developing and operating manufacturing capacity. |
These categories can overlap. Intel reports product operations as well as a foundry segment, and says leading-edge process development and fabrication have become significantly more costly. TSMC’s customer-designed, customer-manufactured model has different economics. Comparing them as if they were interchangeable can hide important differences in margins, investment, and risk.
Build an earnings comparison that spans the cycle
Use at least five years of results when available, and label each company’s fiscal year end. For each year, record revenue, gross margin, operating margin, diluted EPS, operating cash flow, capital expenditure, and free cash flow. Note acquisitions, one-time items, and significant shifts in business mix so that growth or margin changes are not mistaken for recurring performance.
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Keep reporting periods aligned as closely as possible. Micron’s fiscal 2026 included 53 weeks and ended September 3, 2026; it should not be treated as identical to calendar 2026. A trailing period, a company fiscal year, and a calendar year are different measurement windows.
Read profit alongside cash and investment
EPS shows earnings allocated per share, but it does not show how much cash the business generated or how much it needed to invest. Compare operating cash flow and capital expenditure as well as margins and EPS. Free cash flow helps show what remains after capital spending, while net cash or debt and returns on invested capital can add balance-sheet and capital-efficiency context when reliable, comparable figures are available.
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TSMC’s 2025 annual report gives one example of why it helps to look at more than a single growth number: in U.S.-dollar terms, revenue rose 35.9% to US$122.42 billion and net income rose 51.2% to US$55.21 billion. Its reported gross margin was 59.9% and operating margin was 50.8%. Those are the company’s 2025 results, not a forecast or a guarantee of future margins.
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Separate current earnings from mid-cycle earnings
Semiconductor profits can move sharply with demand, supply, and product prices. Memory is especially sensitive: Micron said AI-driven memory and storage demand outpaced industry supply in fiscal 2026, lifting pricing and margins, while supply allocation could affect customer segments. Gartner’s August 24, 2026 forecast also pointed to strong memory revenue growth and pricing expansion, with additional capacity expected in 2027. Those conditions make it important to test current profit against a less favorable cycle.
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Alongside reported earnings, estimate normalized mid-cycle earnings for cyclical businesses. Explain the method—for example, the historical period used and whether margins or prices are adjusted—and show the assumption rather than presenting a normalized figure as reported fact. A low multiple on earnings near a pricing peak can overstate how inexpensive a stock is.
Choose valuation measures that fit the business
Take market prices, share counts, balance sheets, and earnings estimates from the same date and use a consistent currency basis. Date every valuation and consensus estimate because share prices and forecasts change. A fair current ranking requires a unified snapshot; the figures discussed here do not provide one.
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| Measure | Useful for | What it can miss |
|---|---|---|
| Trailing P/E | Comparing price with earnings already reported, when earnings are positive. | It can look unusually low near a cyclical profit peak and cannot be meaningfully compared across different reporting periods without care. |
| Forward P/E | Comparing price with estimated future earnings, when estimates are positive and use a clearly stated period. | It depends on estimates that can change and may assume demand or margins that do not persist. |
| EV/EBITDA | Adding capital structure context to an operating earnings comparison. | It does not by itself capture the full burden of capital spending or differences in business quality. |
| Price-to-sales | Providing a reference point for businesses with depressed or negative earnings. | Revenue multiples ignore differences in margins, capital intensity, and cash conversion. |
| Free-cash-flow yield | Relating cash generation after capital spending to the company’s equity value. | Cash flow may be unusually strong or weak at a particular point in the cycle. |
Use these measures as a framework, not as a mechanical ranking. A low P/E is not proof that a stock is cheap if earnings are near a peak, heavy capital spending consumes cash, or margins are unsustainable. Conversely, AI exposure alone does not establish that a high multiple is justified: consider what growth and profitability the price already assumes.
Trace AI exposure to products and revenue pathways
AI-related semiconductor demand extends across more than accelerator chips. Potential exposure includes CPUs, high-bandwidth memory (HBM), foundry wafers, advanced packaging, networking silicon, power-management and analog devices, and optical interconnects. Gartner has described rising investment across several of these areas as AI clusters expand.
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- Identify the product or service. Determine what the company sells into AI infrastructure, rather than relying on a broad “AI beneficiary” label.
- Find the reported pathway. Look for company disclosures of revenue, backlog, customer demand, or segment performance that connect a product to AI. If the company does not report a defensible AI revenue share, do not assign one.
- Check the customer and end market. Identify who is buying, how concentrated demand is, and whether reported growth comes from AI, other end markets, pricing, or a combination.
- Test the capacity and cash requirement. Ask whether supply is constrained and what investment is needed to meet demand.
- Distinguish company results from industry forecasts. A market forecast indicates expected industry conditions, not an individual company’s realized sales.
For scale, Gartner’s forecast published August 24, 2026 projected worldwide semiconductor revenue of US$1,555.2 billion in 2026: US$837.3 billion in memory and US$717.9 billion in nonmemory. It forecast memory at 54% of industry revenue in 2026, versus 27% in 2025, and forecast the AI data-center ecosystem’s share of semiconductor revenue at 36.5% in 2026 and more than 53% by 2030. These are Gartner forecasts, not reported results or company-specific AI revenue figures.
Put risks beside growth and valuation
Use a risk column in your comparison so that projected growth is not considered in isolation. Focus on risks that can change earnings, cash needs, or the durability of demand.
- Customer concentration: AMD’s annual filing discloses that a small number of customers account for a substantial portion of revenue and receivables.
- Supply and pricing: Micron describes tight supply and allocation choices during a period of strong AI-related demand; later supply additions or price changes could alter earnings.
- Manufacturing and capital intensity: Foundry and integrated manufacturing businesses face capacity, yield, utilization, and technology-development demands. Intel describes both the significant cost of leading-edge process development and the difficulty of attracting outside foundry customers.
- Demand and competition: Consider whether customers’ AI infrastructure spending slows, whether product demand shifts, and whether competing technologies reduce expected sales or margins.
- Geopolitics and supply chains: The Semiconductor Industry Association (SIA) points to persistent supply-chain disruption and geopolitical tension, risks that can affect production and access to markets.
Market context can help frame a company’s results, but it should not substitute for them. SIA reported that global semiconductor sales reached US$795.6 billion in 2025 and that U.S.-headquartered semiconductor companies generated US$425 billion, or 53.4% of global market share. SIA also reported US$76.8 billion in R&D investment by American semiconductor companies in 2025. These are industry-level figures, not evidence that any particular stock will outperform.
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For each stock, fill in the same fields before forming a view. Leave a field unfilled when the company does not disclose a comparable figure instead of estimating precision that is not supported.
- Peer group: fabless designer, foundry, memory maker, IDM, or another clearly defined category.
- Reporting basis: fiscal year end, period covered, currency, and any unusual period length.
- Earnings and cash: five-year revenue, gross and operating margins, diluted EPS, operating cash flow, capital expenditure, and free cash flow.
- Cycle: current earnings versus an explicitly explained mid-cycle estimate; note pricing and capacity assumptions.
- Valuation: date-stamped trailing and, if appropriate, forward P/E; EV/EBITDA; price-to-sales if relevant; free-cash-flow yield; net cash or debt.
- AI pathway: named products or services, disclosed revenue or backlog if available, customer or end market, and supply and investment requirements.
- Risk: customer concentration, supply allocation, manufacturing execution, capital needs, competitive threats, and geopolitical exposure.
Use filings and company reports for reported results and business risks, and identify the publisher and date whenever you use an industry forecast. This comparison is a way to organize evidence, not a personalized buy or sell recommendation.
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