To compare semiconductor stocks, analyze revenue, gross margin, and inventory together across several quarters and years, then explain each change using the company’s products, manufacturing model, end markets, and position in the supply-demand cycle. No single “good” growth rate, margin, or inventory-days figure applies to every chip company. A useful comparison separates reported results from management outlook and asks whether the numbers reflect demand, pricing, product mix, production efficiency, customer destocking, or temporary accounting charges.
What the three metrics tell you
Revenue shows the scale of a semiconductor company’s sales and how that scale is changing. Gross margin shows how much of each sales dollar remains after the direct cost of making or acquiring the products. Inventory shows capital tied up in products and materials that have not yet been sold. Together, they provide a compact view of demand, pricing power, operating execution, and cycle exposure.
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The metrics are most informative as a connected story. Revenue can rise while margins fall if a company sells more low-margin products. Margins can improve while revenue declines if weak products are removed from the mix or if temporary charges reverse. Inventory can increase because a company is preparing for strong demand, lengthening its supply chain, or carrying more work in process—not necessarily because customers have stopped buying. The comparison task is to determine which explanation fits the disclosures.
Gross margin formula
Gross margin is calculated as:
Gross margin = (Revenue − Cost of revenue) ÷ Revenue × 100
Use the same definition for every company in a comparison. Some issuers include licensing, services, or other revenue with a different cost structure, while others report those activities separately. Read the accounting policy and segment notes before treating percentages as directly comparable.
1. Build a genuinely comparable peer group
Start by defining what each company sells and how it makes money. A microcontroller supplier, a memory producer, an analog chip designer, and a semiconductor-equipment company may all be called “technology stocks,” but their economics and cycles differ. Comparisons are strongest when companies have similar products, customers, manufacturing arrangements, and end markets.
Map products and end markets
- List major product families, such as memory, analog, power-management, processors, connectivity, sensors, or discrete devices.
- Record end markets disclosed by each company, including automotive, industrial, communications infrastructure, personal electronics, data centers, or consumer devices.
- Note whether demand is diversified or concentrated in a few customers or applications.
- Identify geographic exposure and any regional concentration that could affect demand, trade, or logistics.
Texas Instruments discusses market fragmentation, differentiated manufacturing capability, customer reach, and seasonal patterns in its filings. It reports that it sells products to more than 100,000 customers. That is a company-reported customer count, not an industry statistic or a guarantee that every customer contributes meaningful revenue.
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Determine whether production is primarily on company-owned fabs, outsourced to foundries and assembly providers, or split between internal and external capacity. An owner of older, depreciated fabs may have a different cost structure from a fabless designer that pays foundry prices. Outsourcing can reduce capital intensity but expose a company to supplier capacity, pricing, and allocation decisions. Internal manufacturing can provide control and differentiation while creating fixed-cost and utilization risk when demand falls.
Customer concentration, long-term supply agreements, geographic exposure, and seasonal ordering patterns should be recorded alongside the financial metrics. If two businesses have materially different models, use the comparison to understand those differences rather than forcing a rank order.
2. Compare revenue over time, not one quarter at a time
Use annual and quarterly revenue series covering multiple periods. A single quarter can be distorted by product launches, customer inventory adjustments, acquisitions, currency, shipment timing, or normal seasonality.
Create a consistent revenue view
- Collect reported revenue for at least three annual periods and eight to twelve quarters when available.
- Calculate year-over-year growth for each comparable quarter and sequential growth from the immediately preceding quarter.
- Separate reported results from management guidance or outlook. Guidance is an expectation, not a completed result.
- Read the management discussion for demand, average selling prices, unit volumes, product mix, acquisitions, divestitures, and customer inventory changes.
- Mark unusual events, such as a major product transition, factory outage, restructuring, or accounting change.
Year-over-year comparisons reduce the distortion from recurring seasonal patterns; sequential comparisons show momentum but can exaggerate normal first-quarter or fourth-quarter softness. Texas Instruments notes historically weaker sequential revenue growth in its first and fourth quarters for its business. That pattern is company-specific and should not be applied automatically to every semiconductor issuer.
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Revenue growth can come from higher unit volume, higher average selling prices, a richer product mix, acquisitions, or a combination. Volume growth usually suggests stronger demand, but shipments can also rise while customers are rebuilding inventory. Price increases may reflect supply tightness, product improvements, or inflationary pass-through. Mix changes can raise revenue without increasing total units, or reduce revenue even when unit demand is healthy.
When revenue falls, look for industry destocking, a customer production cut, a product transition, price declines, currency effects, or a deliberate exit from low-return products. A decline concentrated in one product line may be less concerning than a broad decline across end markets, but the filings must establish the pattern.
Use a revenue bridge where disclosures allow
A revenue bridge separates the reported change into volume, price, mix, acquisitions, divestitures, and currency. Many companies do not provide every component, so label undisclosed items as not stated rather than estimating them. The goal is not false precision; it is to prevent a headline growth rate from hiding a deteriorating business.
3. Read gross margin as an operating explanation
Compare both the level and direction of gross margin, then identify the reasons management gives for the movement. The highest percentage is not automatically the strongest result because product mix, manufacturing ownership, depreciation, licensing revenue, and cycle position vary widely.
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Key margin drivers
- Average selling prices: Higher prices can expand margin if costs are stable; price cuts can compress it even when volume rises.
- Product mix: A larger share of premium or differentiated products may lift margin, while growth in lower-margin products can dilute it.
- Manufacturing yields: More usable dies per wafer reduce unit cost; yield problems increase scrap and rework.
- Material and production costs: Wafers, substrates, chemicals, packaging, energy, labor, and freight affect cost of revenue.
- Capacity utilization and fixed-cost absorption: A factory running below efficient utilization spreads depreciation and other fixed costs over fewer units.
- Inventory reserves and write-downs: Excess, slow-moving, or obsolete stock can create a sudden cost charge.
- Revenue composition: Licensing or other activities may carry a different cost structure from manufactured products.
Silicon Laboratories explicitly identifies average selling prices, product mix, material costs, yields, inventory write-downs, and manufacturing operations costs as factors affecting gross margin. Those factors are a useful checklist, not a universal weighting or formula.
Distinguish structural from temporary changes
A lasting margin improvement may come from a better product mix, process technology, pricing power, or lower unit costs. A temporary improvement may reflect a one-time reserve reversal, unusually high utilization, or a favorable shipment mix. Conversely, a temporary decline may result from a one-time inventory charge or a factory transition rather than a permanent loss of competitiveness.
Read the notes for the amount and timing of inventory charges, restructuring, and acquisition accounting. If a company presents adjusted or non-GAAP margin, reconcile it with the reported figure and identify which costs were excluded. Do not compare one company’s adjusted percentage with another company’s reported percentage.
Use company targets carefully
Management targets are goals for that company, not industry benchmarks. Diodes’ 2025 filing describes its own gross-profit and margin targets; those figures should be attributed to Diodes and not generalized to semiconductor companies as a group. A target can help you assess execution against management’s plan, but it does not establish what a peer “should” earn.
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Inventory is a cycle indicator because semiconductor companies must make capacity and purchasing decisions before final demand is known. Texas Instruments describes the semiconductor cycle as “the ebb and flow of supply and demand and the building and depleting of inventories.” Inventory can rise ahead of expected demand, during a production ramp, or because customers are delaying orders. It can also rise because products are not selling.
What to collect
- Period-end inventory balance from the balance sheet.
- Inventory by category—raw materials, work in process, and finished goods—when disclosed.
- Management discussion of excess, slow-moving, or obsolete inventory.
- Inventory reserves, write-downs, and the accounting policy used to value stock.
- Revenue for the same periods, so inventory growth can be compared with sales growth.
- Information about consignment, customer-owned stock, supply agreements, and outsourced production.
Compare inventory with sales
A simple indicator is the inventory-to-revenue ratio:
Inventory-to-revenue ratio = Period-end inventory ÷ Revenue for the period
Analysts sometimes convert this into inventory days using cost of revenue, but the result is meaningful only when the companies use comparable periods and accounting definitions. A rising ratio deserves investigation, not an automatic sell signal. Inventory may be building faster than revenue because a company is preparing for a launch, securing scarce materials, or carrying more work in process. The explanation becomes more concerning when rising inventory coincides with falling demand, increasing finished goods, customer cancellations, and larger obsolescence reserves.
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Read the valuation policy
Diodes explains its company-specific inventory valuation and obsolescence review in its filing. Such policies affect when a company recognizes a loss. Two companies with similar physical inventory can report different charges because their estimates, product lives, and reserve practices differ. Compare the policy disclosures and reserve movements before concluding that one company manages stock better.
5. Put the numbers in semiconductor-cycle context
Semiconductor upturns and downturns arise as supply, demand, and inventories change. Capacity additions require substantial capital and time, so supply may remain tight after demand begins to weaken or remain excessive after demand recovers. The same company can therefore show strong revenue, high utilization, and expanding margins at one point in the cycle, followed by lower prices, underutilized factories, and inventory charges later.
Separate cycle effects from execution
Compare the company with peers serving similar markets. If all comparable suppliers report weaker orders and rising inventories, an industry correction is a plausible explanation. If one company loses revenue while peers remain stable, investigate product competitiveness, customer concentration, manufacturing yields, or execution. This is not proof of causation; it is a way to direct the next reading of the filings.
Match fiscal periods
Compare the same fiscal quarter across years when seasonality matters. A company whose fiscal year ends in a different month may appear to lead or lag peers simply because the periods capture different demand conditions. Label fiscal periods clearly in your spreadsheet and avoid combining a holiday-heavy quarter with a seasonally weak quarter without adjustment.
A practical comparison table
| Axis | Questions to answer | Evidence to record |
|---|---|---|
| Revenue growth | Is growth broad or concentrated? Is it volume, price, mix, acquisition, or currency? | Annual and quarterly revenue, year-over-year and sequential changes, management explanations |
| Gross margin | Did margin move because of prices, mix, yields, costs, utilization, or write-downs? | Reported margin, cost of revenue, reconciliations, reserve and utilization commentary |
| Inventory | Is inventory rising faster than sales, and what portion is finished goods? | Balance, categories, reserves, obsolescence language, inventory-to-revenue trend |
| Business model | Are products, customers, fabs, and outsourcing arrangements comparable? | Segment notes, end-market mix, manufacturing footprint, customer concentration |
| Cycle position | Is the company benefiting from tight supply or dealing with destocking? | Orders, lead times where disclosed, utilization, customer inventory, industry commentary |
Illustrative company data: Micron’s reported fiscal results
Micron’s 2026 Form 10-K reports the following consolidated results:
| Fiscal year | Revenue | Reported gross margin |
|---|---|---|
| 2026 | $133.188 billion | 81% of revenue |
| 2025 | $37.378 billion | 40% of revenue |
| 2024 | $25.111 billion | 22% of revenue |
These figures illustrate how dramatically one company’s results can change across a semiconductor cycle. They are Micron’s consolidated results for the specified fiscal years, not a sector benchmark and not a forecast. To interpret the change, read the filing’s discussion of memory pricing, bit shipments, product mix, utilization, costs, and inventory—not just the percentages.
How to perform the comparison in a spreadsheet
- Create one row per fiscal quarter for each company, with revenue, cost of revenue, gross profit, gross margin, inventory, and any disclosed reserve or write-down.
- Add business descriptors for product category, end market, internal versus outsourced manufacturing, fiscal-quarter dates, and major acquisitions or divestitures.
- Calculate growth consistently: year-over-year growth equals current-period revenue divided by the comparable prior-year period minus one; sequential growth equals current-period revenue divided by the immediately preceding fiscal period minus one.
- Calculate margin: gross profit divided by revenue. Keep reported and adjusted figures in separate columns.
- Calculate inventory trends: inventory growth, inventory-to-revenue ratio, and—only when definitions are comparable—inventory days using cost of revenue.
- Add an explanation column quoting or paraphrasing the filing’s stated drivers, such as pricing, mix, yields, utilization, customer destocking, or reserves.
- Flag uncertainty whenever a company does not disclose volume, price, inventory categories, or a specific cause. Use “not stated” rather than an estimate presented as fact.
- Review the pattern across periods and compare only with peers whose products and business models make the comparison economically meaningful.
Interpreting common patterns
Revenue up, margin up, inventory stable or falling
This combination is often consistent with healthy demand and efficient execution, but verify that growth is not driven by a short-lived price spike, acquisition, or unusually favorable mix.
Revenue up, margin down, inventory up
Possible explanations include lower-margin product growth, aggressive pricing, capacity expansion, or customers building stock. Check finished-goods levels, utilization, and reserve commentary before deciding whether the pattern is investment for growth or early oversupply.
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This is a higher-priority warning pattern because weaker sales and rising stock can lead to utilization pressure and write-downs. It still requires context: a planned product transition or prelaunch build can produce the same numbers temporarily.
Revenue down, margin stable or up, inventory down
The company may be managing a correction, exiting low-margin products, or benefiting from mix. Determine whether the improvement is structural or caused by a one-time item, and whether the lower revenue reflects deliberate discipline or lost demand.
Common mistakes and how to avoid them
- Using one quarter: Build a multi-period series and compare the same fiscal periods.
- Ranking by margin alone: Explain product mix, manufacturing model, and utilization first.
- Treating inventory growth as proof of trouble: Check demand, production stage, customer strategy, and reserves.
- Mixing reported and adjusted figures: Keep accounting bases consistent and reconcile exclusions.
- Applying one company’s target to every peer: Attribute targets to the issuer that published them.
- Ignoring seasonality: Use year-over-year comparisons and document company-specific seasonal patterns.
- Confusing guidance with results: Label outlook separately and revisit it after the period closes.
- Assuming correlation proves cause: Use management’s disclosures and peer evidence to test an explanation.
What these metrics cannot tell you alone
Revenue, gross margin, and inventory do not provide a complete stock valuation or a buy-and-sell rule. They omit cash generation, capital expenditure, debt, research spending, competitive position, customer contracts, and the price investors already pay for future earnings. They also cannot establish a universal “good” growth rate, margin, or inventory-days cutoff across semiconductor companies.
Use current filings for any named-company snapshot because reported results and outlook change. Treat company disclosures as management’s description of its business, not as a neutral forecast. The most defensible conclusion is a qualified one: identify the operating trend, state the evidence for its cause, list what remains undisclosed, and explain which peer differences limit the comparison.
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