Sector Earnings Growth Dashboard Excel: Track the Q2 2026 S&P 500 Scorecard in One Screen

Sector earnings growth dashboard Excel users are searching for one thing right now: a single screen that shows where S&P 500 profit growth is actually coming from this quarter. With Q2 2026 reporting season set to begin in earnest during the second full week of July, the headline index number hides a wide gap between the sectors carrying the market and the ones quietly falling behind. This guide gives you a dashboard-style Excel template that tracks consensus earnings and revenue growth across all 11 GICS sectors, layers live MarketXLS fundamentals on top, and lets you stress-test the blended number under your own scenarios.

The version of the S&P 500 you read about in a one-line market recap is misleading by design. A blended growth figure of roughly +21% sounds uniformly strong. Look underneath and you find one sector growing earnings well over 100% year over year, another barely growing at all, and a small number of mega-cap names doing most of the heavy lifting. A sector earnings growth dashboard exists to make that dispersion visible at a glance, so you can see the concentration before it shows up in your portfolio.

Sector earnings growth by sector: the Q2 2026 picture at a glance

Here is the consensus scorecard the template is built around. These are analyst estimate aggregates for second-quarter 2026 year-over-year growth, the kind of figures you would refresh from a licensed estimates provider as companies report. Use them as the starting point, not the final word, because revisions move fast in the first three weeks of any season.

Two numbers in that table do the most work. The first is the blended +21.2%, which would mark a second straight quarter of 20%-plus earnings growth for the index. The second is the gap between Information Technology at +42% and the rest of the market. Strip Technology out and growth for the remaining 10 sectors drops to roughly +11%. That single fact reframes the whole season: the index is strong, but the strength is narrow.

Energy is the other story. Its triple-digit estimated growth is real, but it is heavily a base-effect: estimates for the sector were revised up more than +90% since the start of the quarter as the prior-year comparison weakened. A sector earnings growth dashboard is the right tool precisely because it forces you to put the +127% next to the +2%, the base effects next to the structural trends, and decide for yourself what is signal.

Why a dashboard, not a table

You could keep these numbers in a flat list. Most people do, and most people miss the pattern. Earnings dispersion is a visual problem. When you rank 11 sectors by growth, color them from red to green, and weight each by its index share, three things jump out that a list buries:

1. Concentration. The biggest index weights and the biggest growth rates do not always line up. Seeing weight as a data bar next to growth as a color scale shows you whether the market's growth is broad or balanced on a few large shoulders.
2. Contribution. A sector growing earnings 127% but worth 3.5% of the index adds less to the blended number than a sector growing 42% at a 32% weight. The dashboard computes weight times growth so contribution is explicit, not guessed.
3. Direction. Side by side, EPS growth and revenue growth tell you whether profits are coming from real top-line expansion or from margins. A sector with high EPS growth and flat revenue is leaning on cost control, which is a different durability story.

That is the gap this sector earnings growth dashboard Excel template fills. It is built to look like a designed product the moment you open it: a cover page, a KPI tile row, embedded charts, conditional-formatted heatmaps, dropdown controls, and a live screener. It is the difference between data you have and data you can read.

What's inside the template

The workbook ships with 11 sheets. Every sheet carries MarketXLS branding and a short list of the exact formulas it uses, so you always know how to rebuild any cell yourself. Here is the full walkthrough, treated like the product description it is.

1. Cover. A branded title page with the edition, version, a prominent "Data as of" date, and a full table of contents. Gridlines are hidden so it reads as a designed cover, not a grid. This is the first impression, and it is built to look like something you would pay for.
2. How To Use. A seven-step, plain-language tutorial. It explains how to connect MarketXLS, where the yellow input cells live, how the scenario dropdown drives the analysis, and how to refresh consensus estimates as the season unfolds. Read it once and the rest of the workbook is self-explanatory.
3. Dashboard. The headline sheet. A row of seven KPI tiles runs across the top: blended EPS growth, revenue growth, ex-Technology growth, the top sector, the laggard sector, how many sectors clear double-digit growth, and the approximate Technology contribution. Below the tiles sit two embedded charts, a horizontal bar chart of EPS growth by sector and a column chart of revenue growth, followed by a conditional-formatted scorecard table ranking all 11 sectors. Gridlines are hidden, panes are frozen, and the print area is set for a clean one-page landscape print.
4. Inputs & Controls. Your control panel. Yellow cells with bold borders are the only cells you edit. A data-validation dropdown picks the scenario (Conservative, Base, or Aggressive), another sets risk tolerance, and additional cells hold portfolio size, custom tickers, and beat or miss assumptions. Every downstream sheet references these cells, so changing one input updates the whole workbook.
5. Scenario Analysis. A what-if matrix with five named scenarios across the columns and the key sector drivers down the rows. The blended S&P 500 growth output recalculates at the bottom using illustrative index weights, with a three-arrow icon set flagging direction. Edit the haircuts and boosts in the yellow cells to model your own view of the season.
6. Strategy Ideas. A rules-based, educational framework for thinking about earnings-driven sector tilts. It maps signals such as earnings acceleration, steady compounders, and defensive ballast to sectors, suggested tilts, trigger metrics, and risk flags. It is a thinking tool, not advice.
7. Allocation. A position-sizing calculator. Enter your portfolio value once on the Inputs sheet and this sheet converts target sector weights into dollar amounts, totals them, and draws a donut chart of your tilt. Target weights are yellow inputs, and a color scale flags which sectors you are leaning into for growth.
8. Sector Comparison. An 11-sector heatmap across six metrics. Consensus EPS and revenue growth are yellow inputs you refresh; average forward P/E, net margin, and beta are pulled live from the bellwether stocks in each sector. Color scales and data bars turn the grid into an instant read of which sectors are growing, which are cheap, and which are defensive.
9. Stock Screener. The live engine. Thirty-three sector bellwethers, three per sector, with price, trailing EPS, revenue growth, forward and trailing P/E, net margin, market cap, and beta, all pulled live via MarketXLS formulas. Red-to-green heatmaps on the growth, margin, valuation, and beta columns make leaders and laggards pop without scrolling.
10. Methodology. A one-page explainer of the two-layer data model, the blended-growth math, how bellwethers are chosen, refresh cadence, limitations, and data sources. This is the sheet that lifts the template from a spreadsheet to a tool you can defend in a meeting.
11. Glossary & Disclaimer. Definitions for every term used in the workbook, from blended growth to forward P/E to contribution, plus a clear educational-only disclaimer.

Together those sheets are designed to be presentation-ready. You can open the Dashboard in front of a client or a committee and walk through the season without reformatting a thing.

The two-layer data model

The template deliberately separates two kinds of numbers, and understanding why makes you better at using any earnings dashboard.

Layer one is consensus. Forward earnings growth by sector is an analyst-estimate aggregate. It is not a single field you can pull from one cell in any data feed, because it is the rolled-up average of hundreds of individual analyst forecasts, reweighted by sector membership. The honest way to handle it is to make it a transparent input you control. In the template, the sector EPS and revenue growth figures live in yellow cells you refresh from your own licensed source as the season progresses.

Layer two is live company data. Everything that can be pulled live is pulled live. The Stock Screener and the average columns on the Sector Comparison sheet use MarketXLS formulas so you can sanity-check the consensus story against real fundamentals. If a sector's consensus growth looks heroic, you can glance at the bellwethers' revenue growth and margins and decide whether the estimate is believable.

This two-layer design is the difference between a dashboard that pretends every number is gospel and one that is honest about which figures are estimates and which are facts.

MarketXLS implementation: the formulas behind the screener

Every data cell in the template file is a real, verified MarketXLS formula. No invented functions, no placeholders. Here are the formulas that power the screener and the sector averages, each one taking a single ticker argument.

=QM_Last("XOM")                  Pending last trade price
=EarningsPerShare("XOM")         Trailing 12-month EPS
=RevenueGrowth("XOM")            Year-over-year revenue growth
=ForwardPE("XOM")                Forward price/earnings ratio
=PERatio("XOM")                  Trailing price/earnings ratio
=NetProfitMargin("XOM")          Net profit margin
=MarketCapitalization("XOM")     Market capitalization
=Beta("XOM")                     Beta versus the market
=Sector("XOM")                   GICS sector classification

A sector average is just those formulas wrapped in an aggregate. The Sector Comparison sheet computes each sector's average forward P/E like this:

=AVERAGE(ForwardPE("XOM"), ForwardPE("CVX"), ForwardPE("COP"))

And the Dashboard scorecard computes each sector's contribution to blended growth as a simple product of its weight and its growth rate:

=Weight * EPS_Growth

Because the screener pulls live data, the moment Excel recalculates with MarketXLS connected the entire workbook refreshes. You are not maintaining a static snapshot. You are watching the season update in real time, with the consensus layer as the one part you steer by hand.

If you want to learn the building blocks before opening the template, the MarketXLS functions library documents each one, and the Excel stock screener tools show how to extend the same approach to your own universe.

How to read the dashboard during earnings season

A dashboard is only useful if you know what to look for. Here is a simple reading routine for the Q2 2026 season.

Start with the blended tile, then immediately check the ex-Technology tile. If the two are close, growth is broad and healthy. If there is a wide gap, as there is this quarter, the index is leaning on a handful of mega-caps and you should treat the headline number with appropriate skepticism.

Scan the EPS growth color scale top to bottom. Green at the top, red at the bottom. The question is not which sector is greenest, it is whether the green is concentrated in one or two sectors or spread across many. Concentration is a risk signal even when the aggregate looks strong.

Compare EPS growth to revenue growth for each sector. When EPS growth far exceeds revenue growth, the gain is coming from margins or buybacks rather than real demand. That can be durable or it can be a one-time benefit. The side-by-side color scales make the comparison instant.

Use the contribution column to weight your attention. A sector with spectacular growth but a tiny index weight is a story, not a market mover. Contribution tells you where the index's growth is actually being manufactured.

Stress-test with the Scenario sheet before you act. Drop Technology's growth assumption and watch the blended number fall. Fade Energy back toward normal and see how much of the headline disappears. The point is not to predict, it is to understand how fragile or robust the consensus story is.

A worked example: the concentration question

Walk through the math the dashboard does for you. Information Technology carries roughly a 32% index weight and an estimated +42% EPS growth, so its contribution to blended growth is about 0.32 times 0.42, or roughly 13.4 percentage points of gross contribution before netting against slower sectors. Energy, by contrast, has a far higher growth rate at +127% but only a 3.5% weight, so its contribution is about 0.035 times 1.27, or roughly 4.4 points. The sector with the eye-catching number contributes a third as much to the index as the sector with the steadier number, purely because of weight.

That is the entire case for a weighted, contribution-aware dashboard. The biggest growth rate is rarely the biggest growth driver. Without the weighting, you would chase the +127% headline and underestimate how much the index actually depends on Technology continuing to deliver.

This is an analytical exercise, not a recommendation. The figures are estimates, the weights are illustrative, and nothing here predicts what any sector or stock will do. The value is in the structure of the question, not in any particular answer.

Building it yourself versus downloading the template

You can absolutely build a version of this from scratch. The hard parts are not the formulas, they are the design choices: deciding to weight growth by index share, separating the consensus layer from the live layer, and laying out the conditional formatting so the dispersion is visible rather than buried. The template encodes all of those decisions, which is most of the work.

If you do build your own, three principles will save you time. Keep your inputs in one place and color them so you never confuse an assumption with a fact. Always pair an EPS metric with a revenue metric, because earnings without revenue context is half a picture. And weight everything by index share before you draw conclusions, because an unweighted sector average flatters whatever sector happens to be having a good quarter.

Frequently asked questions

What is a sector earnings growth dashboard in Excel?

A sector earnings growth dashboard in Excel is a spreadsheet that tracks year-over-year earnings and revenue growth across the market's sectors in one view, usually with KPI tiles, charts, and a color-coded heatmap. This template covers all 11 S&P 500 GICS sectors for the Q2 2026 season, weights each sector by its index share to show contribution, and pulls live single-stock fundamentals through MarketXLS so you can verify the consensus story against real company data.

Where does the earnings growth data come from?

The template uses two layers. Sector consensus EPS and revenue growth are analyst-estimate aggregates that you enter and refresh as yellow inputs from a licensed estimates provider, because that figure is not a single field in any data feed. Single-stock fundamentals such as price, EPS, revenue growth, margins, valuation, market cap, and beta are pulled live through MarketXLS formulas in the template file.

Can I change the tickers and sectors?

Yes. The Inputs & Controls sheet lets you swap in custom tickers, and the Stock Screener uses three bellwethers per sector that you can replace with names you prefer. Every formula takes a single ticker argument, so changing a symbol updates that row's live data instantly when MarketXLS is connected.

How often should I refresh the dashboard?

The live single-stock data refreshes whenever Excel recalculates with MarketXLS connected. The consensus estimates should be refreshed by hand as companies report, especially in the first three weeks of the season when revisions are fastest. Treat the consensus layer as a living input, not a one-time entry.

Does the template work without the MarketXLS add-in?

The sample file is pre-filled with static values so you can preview the full design and layout without the add-in, and every data cell carries a comment showing the exact MarketXLS formula that produced it. The template file needs the MarketXLS add-in installed and signed in for the live formulas to return data.

Is this investment advice?

No. The workbook is an educational and analytical tool. Consensus figures are estimates that change continuously, the sector bellwethers are illustrative proxies rather than the full index, and past or projected earnings growth does not predict future returns. Always do your own research and consult a licensed professional before investing.

The bottom line

Sector earnings growth dashboard Excel templates earn their keep during reporting season, when the single index number hides everything that matters. The Q2 2026 story is a strong headline built on a narrow base: a +21% blended number that drops to roughly +11% without Technology, an Energy figure inflated by an easy comparison, and a long tail of sectors growing in the low single digits. A dashboard that ranks, weights, and color-codes that dispersion turns a confusing season into a readable one.

This template gives you that view in 11 designed sheets, with a KPI dashboard, scenario analysis, allocation calculator, sector heatmap, and a live 33-stock screener powered by verified MarketXLS formulas. Download both files below, connect the live version, and you will spend the season reading the market instead of assembling spreadsheets.

To go further with live Excel-native financial data, explore MarketXLS or book a demo to see the full function library in action.

Download the templates:

• - Pre-filled with current data and formula comments on every data cell
• - Live-updating formulas across all 11 sheets