Semiconductor earnings tracker - if that is the tool you came looking for, you already know that the Q2 2026 chip reporting season is one of the most consequential stretches on the whole market calendar. The AI trade still runs through silicon, and over a few crowded weeks in July and August the foundries, the GPU designers, the memory makers and the equipment suppliers all step up to the microphone. Each print carries a revenue-growth number, a margin trajectory, a capex guide and an options-implied move that can send a mega-cap swinging double digits before the next open. Trying to follow all of that in scattered browser tabs is how the important signal gets lost. This guide walks through a professional, dashboard-style Excel template that pulls the entire semiconductor complex into a single live view, and it shows the exact MarketXLS formulas behind every cell so you can rebuild or extend it yourself.
Semiconductor Earnings Tracker at a Glance
The template organizes the Q2 2026 season around the parts of the AI supply chain that actually move together. Here is the watchlist structure it starts with, grouped by subsector, with representative tickers and the single item most worth watching on each report.
| Subsector | Representative Tickers | Q2 2026 Watch Item |
|---|---|---|
| AI GPU / Accelerators | NVDA, AMD | Data-center revenue run-rate and supply commentary |
| Custom AI ASIC / Networking | AVGO, MRVL | Custom-silicon backlog and AI networking mix |
| Foundry | TSM | Advanced-node utilization and capex guidance |
| Memory / HBM | MU | HBM allocation and DRAM pricing trajectory |
| Equipment (WFE) | ASML, AMAT, LRCX, KLAC | Order bookings and China revenue mix |
| Analog / Auto | TXN, NXPI | Inventory normalization and book-to-bill |
| Mobile / Edge / IP | QCOM, ARM | Edge-AI attach and royalty growth |
This is educational structure, not a set of recommendations. The point is that a foundry result and a GPU result can tell you very different things, and a good tracker keeps them side by side so you can read the whole chain instead of one link at a time.
Why the Q2 2026 Chip Season Matters
Semiconductors have become the reporting group the rest of the market watches for a read on AI spending. When a foundry raises its capital-expenditure plan, it is effectively signaling how much leading-edge capacity the hyperscalers have committed to buy. When a memory maker talks about high-bandwidth memory allocation, it is telling you how tight the supply of the components that sit next to AI accelerators really is. And when an equipment maker reports order bookings, it is previewing the capacity that will come online a year from now.
The Q2 2026 calendar front-loads several of these signals. The large foundry and lithography names tend to report in the second half of July, which means the season opens with capacity and capex data before most of the GPU and networking names have even stepped up. That ordering matters. If you only track the accelerator designers, you miss the upstream tells that often set the tone for the entire group.
A tracker also imposes discipline on comparison. Revenue growth for a memory company in the up-leg of a pricing cycle looks nothing like revenue growth for a mature analog supplier, yet both are "semiconductors." Putting them in one grid, with the same columns, forces you to judge each name against its own subsector rather than against a single blended expectation.
The Approach: A Repeatable Earnings-Season Checklist
The template is built around a simple, repeatable hypothesis-driven process. This is an educational framework for organizing your own research, not investment advice, and none of it should be read as a prediction that any stock will rise or fall.
- Map the calendar. Know who reports when, and in what order, so the upstream equipment and foundry data informs how you read the downstream GPU and networking prints.
- Set the bar per subsector. A number that is impressive for an analog name may be underwhelming for a company riding the HBM cycle. Judge growth and margins against subsector norms.
- Frame the expected move. Options markets price an implied move into each report. Comparing your own scenario grid against that implied move keeps expectations honest.
- Size before the print, not after. Position sizing decided in the calm before earnings is more disciplined than a decision made in the noise of a gap.
- Review the read, not just the reaction. A stock can beat and sell off, or miss and rally. The template separates the fundamental result from the price reaction so you can learn from both.
Every one of those steps maps to a sheet in the workbook, and every data point is a live MarketXLS formula rather than a number you have to update by hand.
MarketXLS Implementation: The Formulas That Power It
The whole point of building this in Excel with MarketXLS is that the data stays live. Open the workbook and the prices, growth rates, margins and estimates refresh from the same feeds a professional desk would use. Here are the core formulas the template relies on, each verified against the MarketXLS function library.
Pull the current price and year-to-date move for any chip name:
=QM_Last("NVDA")
=ChangePercentYTD("NVDA")
Build the valuation columns with forward multiples and growth:
=ForwardPE("AMD")
=PriceToSales("AVGO")
=PEGRatio("TSM")
=RevenueGrowth("MU")
Read profitability across the complex:
=GrossMargin("TSM")
=OperatingMargin("TXN")
Bring in the forward-looking estimate and analyst view, which is where an earnings tracker earns its keep:
=EPSEstimateCurrentQuarter("QCOM")
=OneYrTargetPrice("AMD")
=NumberOfAnalysts("MRVL")
Layer on the technical context so you know where a stock sits going into its report:
=RSI("NVDA")
=SimpleMovingAverage("NVDA",50)
=PercentChangeFrom52_WeekHigh("ASML")
=Beta("LRCX")
Because these are real functions, you are not copying static screenshots. You are building a spreadsheet that a financial advisor could refresh every morning of earnings season. If you want the full reference, the MarketXLS stock functions documentation lists the complete library, and the features overview shows how the add-in fits into an existing Excel workflow.
Inside the Template: A Six-Sheet Walkthrough
The workbook has six tabs, each mapped to one part of the earnings-season process.
1. How To Use
A plain-language tutorial sheet that explains the layout, the difference between the static sample file and the live formula file, and which cells are meant for your own inputs. It also lists the key MarketXLS formulas so a first-time user can get oriented in a minute.
2. Main Dashboard
The heart of the tracker. Every name in the watchlist sits on its own row, with columns for last price, year-to-date move, market cap, forward P/E, PEG, price-to-sales, revenue growth, gross and operating margin, the consensus EPS estimate for the current quarter, the mean analyst target, analyst count, RSI, the fifty-day moving average, distance from the fifty-two-week high, and beta. Three yellow input cells at the top let you set an expected earnings-week move, a minimum revenue-growth screen and a maximum forward-P/E screen, and those inputs flow through to the other sheets. In the live template file, each metric cell is a MarketXLS formula, so the dashboard updates itself.
3. Scenario Analysis
An implied-move grid. You type in a ticker and an expected move, and the sheet projects the stock across five outcomes, from a large beat with raised guidance down to a large miss with cut guidance. It shows the implied percentage move, the projected price and the dollar impact on a one-hundred-share position for each scenario. This is a planning tool for thinking through risk before a report, not a forecast.
4. Options - Earnings Plays
An educational reference for the defined-risk and undefined-risk structures traders commonly use to express an earnings view, from long straddles and strangles to iron condors and vertical spreads. It lays out the view each structure expresses, its maximum profit and loss, and how post-earnings volatility crush tends to affect it. A small calculator converts an at-the-money straddle price into an implied move. Everything here is for education only, and options carry the risk of a total loss of premium.
5. Portfolio - Allocation
A position-sizing sheet driven entirely by your own inputs: portfolio size, maximum percentage per name, risk per trade and stop distance. It takes the smaller of your per-name cap and your risk-based size, so a wide earnings stop automatically shrinks the suggested position. It then converts suggested dollars into an estimated share count using the live price.
6. Subsector Comparison
A color-coded matrix that lays the whole complex out from AI GPUs down to analog and IP, with what drives each subsector, the Q2 2026 item to watch, its cyclicality and its margin profile. This is the sheet that keeps you from over-concentrating in one link of the AI supply chain.
Reading the Season: What the Numbers Tend to Signal
Once the data is live, the interesting work is interpretation. A few educational patterns are worth keeping in mind as the Q2 2026 reports roll in.
Foundry and equipment first. Because several capacity-side names report earlier in the season, their capex guidance and order bookings often frame how the market reads the later accelerator prints. A raised capex plan upstream is a different backdrop than a cut one.
Growth is relative. A memory maker posting very high revenue growth in the up-leg of a pricing cycle is behaving normally for its subsector, while the same number from a mature analog supplier would be extraordinary. The tracker's subsector grouping is there to keep the comparison honest.
Watch the reaction versus the implied move. A stock that beats but rises less than its options-implied move may be signaling that expectations were already stretched. A stock that misses but falls less than implied may be finding support. Separating the fundamental result from the price reaction, as the template does, is where a lot of the learning lives.
None of these are trading signals. They are lenses for organizing what the data is telling you, and they work best when you apply them consistently across the whole group rather than cherry-picking one name.
Customizing the Tracker for Your Own Universe
The shipped watchlist is a starting point, not a fixed list. Because every metric is a MarketXLS formula keyed to a ticker in column B, extending the dashboard is as simple as adding a row and dragging the formulas down. A few practical ways to make it yours:
Broaden or narrow the universe. If you follow the broader chip complex, add names in adjacent categories such as additional analog suppliers, discrete and power semiconductor makers, or fabless design houses. If you only care about the AI capex theme, trim the sheet down to the accelerator, custom-ASIC, foundry, memory and equipment names that move on data-center spending. The subsector column keeps the groupings intact no matter how you edit the list.
Add your own screen. The three yellow input cells drive a simple growth-and-valuation screen, but you can layer on any logic you like using standard Excel functions on top of the MarketXLS columns. A common educational approach is to flag names where revenue growth clears your threshold while the forward P/E stays below your ceiling, then sort the dashboard by whichever column matters most to your process that week.
Track the calendar alongside the metrics. Earnings dates shift, and the order in which names report changes how you read the season. Keep a report-date column next to the live metrics so the upstream equipment and foundry results stay visually grouped ahead of the downstream GPU and networking prints. When you pair the date column with the MarketXLS Excel add-in, you get both the schedule and the fundamentals in one place.
Roll it forward each quarter. The single biggest advantage of a formula-driven tracker over a static screenshot is reuse. When Q3 2026 arrives, you do not rebuild anything. You update the report-date column, refresh, and the same dashboard carries you into the next season. That reusability is exactly why an Excel-native, live-data approach tends to beat a one-off screener export.
Download the Templates
Download the templates:
- - Pre-filled with reference values so you can see the full layout immediately, with the powering MarketXLS formula shown alongside each metric.
- - Live-updating formulas that refresh every time you open Excel with the MarketXLS add-in.
Both files carry the same six-sheet structure and list the exact MarketXLS functions used on each sheet, so you always know which formula to reference when you extend the workbook to your own watchlist.
Frequently Asked Questions
What is a semiconductor earnings tracker in Excel?
A semiconductor earnings tracker in Excel is a spreadsheet that consolidates the key reporting metrics for chip stocks, such as revenue growth, margins, forward valuation and consensus estimates, into a single dashboard. The MarketXLS version uses live formulas so that prices and fundamentals refresh automatically rather than being typed in by hand, which makes it practical to follow an entire reporting season at once.
Which semiconductor stocks report in Q2 2026?
The Q2 2026 season spans the full complex, from foundry and lithography names that tend to report in the second half of July, through the analog and equipment makers, and into the GPU, networking and memory names later in July and August. The template ships with a representative watchlist covering AI accelerators, custom ASIC and networking, foundry, memory and HBM, wafer-fab equipment, analog and auto, and mobile and IP. You can add or remove tickers freely.
What MarketXLS formulas does the template use?
The core formulas include QM_Last for live price, ChangePercentYTD for year-to-date move, ForwardPE and PriceToSales for valuation, RevenueGrowth for growth, GrossMargin and OperatingMargin for profitability, EPSEstimateCurrentQuarter and OneYrTargetPrice for the forward view, and RSI, SimpleMovingAverage and PercentChangeFrom52_WeekHigh for technical context. Every sheet lists the functions it uses so the workbook is easy to audit and extend.
Can I use this tracker for options around earnings?
The workbook includes an educational Options sheet that outlines common structures traders use to express an earnings view and a small calculator that converts an at-the-money straddle price into an implied move. It is a learning reference only. Options involve significant risk, including the possible total loss of premium, and nothing in the template is a recommendation to trade any specific structure.
Is anything in this template investment advice?
No. Every ticker is included only as an example of how the formulas work, and the scenario and options sheets are educational frameworks for organizing research. Nothing here is a recommendation to buy or sell any security, and past patterns do not predict future results. Always do your own research and consult a licensed professional before making decisions.
The Bottom Line
A semiconductor earnings tracker turns the most information-dense stretch of the market calendar into something you can actually manage. Instead of chasing one chip print at a time, you get the whole AI supply chain in a single live grid, with growth, margins, estimates and technical context updating themselves, and with scenario, options and position-sizing sheets that turn raw data into a repeatable process. Because it is built on live MarketXLS formulas, the same workbook serves you every quarter, not just this one.
If you want to see how MarketXLS brings this kind of live financial data straight into Excel, explore the MarketXLS platform or book a demo to walk through it with the team. Download the templates above, plug in your own watchlist, and head into the Q2 2026 chip season with a dashboard instead of a dozen open tabs.
