Retail Earnings Tracker Excel: Q1 2026 Consumer Spending Watchlist for Walmart, Home Depot, Target, Lowe's, Costco

Retail earnings tracker excel - if that is what you searched for in early May 2026, you are almost certainly trying to do one of three things: organise the upcoming Q1 2026 retail earnings calendar in one place, line up valuation and margin context next to each name before they print, or stress-test how a same-store-sales surprise would change your position size. This guide walks through the framework, lists the exact MarketXLS formulas behind every number, and gives you a downloadable workbook that puts the answers on a single dashboard.

Why a Retail Earnings Tracker Excel Workbook Matters Right Now

The two-week window from May 13 to May 28, 2026 is the densest stretch of US retail earnings on the calendar. Walmart, Home Depot, Lowe's, Target, TJX Companies, Best Buy, Costco, and Dollar General all report inside that period or just after, and the read-through goes far beyond the consumer discretionary sector. Retail earnings shape three macro narratives at once:

1. The consumer-spending pulse. Same-store sales, foot traffic, and ticket size from Walmart and Costco are the cleanest real-time indicators investors get on US household behaviour. A weaker print broadens the soft-landing concern; a stronger print pushes back on rate-cut expectations.
2. Big-ticket discretionary demand. Home Depot and Lowe's are direct reads on housing turnover, kitchen and bath remodels, and pro-contractor activity. Best Buy is a read on the consumer electronics replacement cycle. When mortgage rates start to drift, these names react first.
3. Margin recovery. After two years of inventory-driven gross margin compression, the question for Q1 2026 is whether retailers can translate stable input costs and lower freight into real operating leverage. The gross margin line tells the story before the EPS line does.

A retail earnings tracker excel workbook lets you watch all eight of those releases against the same template - same valuation columns, same trend columns, same scoring system - so you are comparing apples to apples instead of skimming eight different earnings PDFs in eight different tabs.

Retail Earnings Tracker Excel: The Q1 2026 Calendar

Before any modelling, the first job of the workbook is to put the calendar in front of you. Reporting dates shift, so always confirm against each company's investor relations page, but the consensus window for Q1 2026 prints looks like this:

The tracker keeps that calendar in column V of the Main Dashboard so you can sort the watchlist by reporting date and rotate your attention through the print sequence.

What This Retail Earnings Tracker Excel Workbook Contains

The workbook ships with six sheets, all driven by a small set of input cells in the Main Dashboard. Change your Portfolio Size or your Margin Weight at the top of one sheet and every downstream sheet updates.

Sheet 1: How To Use

The opening sheet explains every other sheet, links to the MarketXLS website, and stamps the workbook with a "Data as of" date so anyone who downloads it knows when the static snapshot was captured. The live template version pulls everything from MarketXLS formulas and updates whenever Excel recalculates.

Sheet 2: Main Dashboard

The Main Dashboard is the single screen you live in during retail earnings season. It carries:

• Yellow input cells for Portfolio Size, Max Position Weight, and three weights (Margin, Growth, Trend) that drive the score column.
• Twenty-three columns of valuation, profitability, trend, and range data per ticker, with the expected earnings date in column V.
• A Score column that combines operating margin, return on equity, and price position relative to the 50-day and 200-day moving averages. Higher scores mean the name is currently trending well and operating efficiently. The score is educational, not a buy signal.

The live formulas behind those twenty-three columns are all standard MarketXLS functions. A small sample:

=QM_Last("WMT")              // Current price
=PERatio("WMT")              // Trailing P/E
=Revenue("WMT")              // Trailing revenue
=GrossMargin("WMT")          // Gross margin
=OperatingMargin("WMT")      // Operating margin
=ReturnOnEquity("WMT")       // Return on equity
=TotalDebtToEquity("WMT")    // Balance sheet leverage
=Beta("WMT")                 // Beta vs. market
=PriceToSales("WMT")         // Price-to-sales
=SimpleMovingAverage("WMT","50")   // 50-day SMA
=SimpleMovingAverage("WMT","200")  // 200-day SMA
=RSI("WMT","14")             // Relative Strength Index
=FiftyTwoWeekHigh("WMT")     // 52-week high
=FiftyTwoWeekLow("WMT")      // 52-week low

The sample (static) version of the workbook fills these cells with snapshot values from May 9, 2026, and labels each cell with the formula that would have produced it. The template version keeps the formulas live.

Sheet 3: Scenario Analysis

The Scenario Analysis sheet stress-tests how three earnings outcomes would change your conviction. It uses three scenarios that map cleanly to retail prints:

• Bull: comp sales above expectations, gross margin expanding, big-ticket demand strong (rate-cut tailwind), guidance raised.
• Base: comp sales in line, gross margin stable, mixed big-ticket trend, guidance reaffirmed.
• Cautious: comp sales below expectations, gross margin compressing, weak big-ticket demand, guidance lowered.

Each scenario produces an "Implied Weight" formula that adjusts your base position weight up or down based on three input toggles - Comp Sales Surprise, Margin Surprise, and Guidance Re-rate - that you control in yellow input cells. The point is not to predict the print. The point is to know what you would do if any of the three scenarios played out before the print actually arrives.

Sheet 4: Strategy / Options

This is an educational planning grid. For each ticker the sheet pre-fills:

• The expected earnings date.
• An event focus (e.g. "Big-ticket transactions, pro contractor demand" for Home Depot).
• A bias placeholder (default: "Neutral until earnings, then reassess").
• An entry review note ("Compare price versus 50-day and 200-day averages").
• A risk trigger note ("Comp sales miss, gross margin compression, or guidance cut").
• An educational strategy column for covered call, collar, or watchlist workflows.

Every row also has a Formula Reference column so you can see at a glance which MarketXLS calls power the trend and momentum check for that name.

This sheet is intentionally not a recommendation engine. It is a structured place to write down what you would do under each outcome, so you are not making the decision for the first time at 4:01pm on the day of the print.

Sheet 5: Portfolio / Allocation

The Portfolio / Allocation sheet turns conviction weights into dollar allocations. It pulls Portfolio Size from the Main Dashboard, multiplies by each ticker's Target Weight, and produces:

• A Dollar Allocation column.
• A Share Estimate column (=C{row}/QM_Last(A{row})).
• A Dividend Yield column (=DividendYield(A{row})).
• An Annual Dividend Income column (=C{row}*E{row}).
• A Beta column (=Beta(A{row})) for risk sizing.
• A Market Cap column (=MarketCapitalization(A{row})).

The default weights are illustrative only and biased toward defensive grocery and big-box names. Adjust them to match your own risk tolerance and the way you want to express the retail theme.

Sheet 6: Correlation / Comparison

The final sheet lines up all eight names in a single comparison table: Sector, Price, SMA 50, SMA 200, RSI 14, 52-week range, price as a percentage of the 52-week high, and a one-cell trend status that reads "Above 200-day trend", "Above 50-day trend", or "Below 50-day trend" depending on where price sits.

Used together with the Main Dashboard, this sheet helps you quickly spot dispersion. If Walmart is sitting at 95% of its 52-week high while Target is at 60%, the read-through to a strong WMT print is very different from a strong TGT print.

How To Build the Retail Earnings Tracker From Scratch in MarketXLS

If you would rather build the tracker yourself instead of using the supplied workbook, the formulas below are all the live calls you need. Every one of these is a standard, documented MarketXLS function.

Step 1: Set Up the Watchlist

In column A, list the tickers you want to track. For Q1 2026 retail earnings, the eight names in this template are a reasonable default, but you can extend the list to include other consumer-related tickers like Macy's (M), Kohl's (KSS), Burlington Stores (BURL), Ulta Beauty (ULTA), or Tractor Supply (TSCO).

Step 2: Pull the Snapshot Data

In columns next to each ticker, plug in the live formulas:

A10: WMT
B10: =QM_Last(A10)               // Last price
C10: =PERatio(A10)               // Trailing P/E
D10: =Revenue(A10)               // Trailing revenue
E10: =EarningsPerShare(A10)      // Trailing EPS
F10: =GrossMargin(A10)           // Gross margin
G10: =OperatingMargin(A10)       // Operating margin
H10: =ReturnOnEquity(A10)        // ROE
I10: =Beta(A10)                  // Beta
J10: =DividendYield(A10)         // Dividend yield
K10: =RevenueGrowth(A10)         // YoY revenue growth

Drag the row down for each ticker.

Step 3: Add a Trend Layer

Underneath the snapshot columns, add the trend layer:

L10: =SimpleMovingAverage(A10,"50")
M10: =SimpleMovingAverage(A10,"200")
N10: =RSI(A10,"14")
O10: =FiftyTwoWeekHigh(A10)
P10: =FiftyTwoWeekLow(A10)

These five columns let you build conditional formatting rules and a simple trend status. A common rule: highlight the row in green when price is above both moving averages and RSI is between 50 and 70, highlight it in amber when RSI is above 75 (overbought going into the print), and highlight it in red when price has lost the 200-day average.

Step 4: Score Each Name

Once you have the data, the scoring formula in the workbook (column U on the Main Dashboard) is:

=ROUND(($B$5*IF(K10>0.08,10,IF(K10>0.05,8,6)))
+($B$6*IF(L10>0.15,10,IF(L10>0.08,8,6)))
+($B$7*IF(F10>Q10,10,IF(F10>P10,8,6))),1)

B5, B6, and B7 are the weight inputs for Margin, Growth, and Trend. The score is a 0 to 10 reading and is purely educational. Use it as a sort key, not a signal.

Step 5: Pull Historical Reactions

If you want to study how each name has reacted to the last few earnings prints, use:

=QM_GetHistory("WMT")

That returns a daily price history that you can slice around prior earnings dates to compute average post-earnings drift, gap fade rate, or 5-day post-print return. The Correlation / Comparison sheet has a Functions Note column that points at this call for each ticker.

Retail Earnings Tracker Excel Q1 2026: What To Watch By Name

The workbook is generic enough to handle any retail watchlist. To make it useful, here is what is genuinely worth watching in each of the eight names this season - not as a forecast, just as a list of "second-derivative" data points that often move stocks more than the headline EPS.

Walmart (WMT)

Watch US comp sales (with and without fuel), grocery share gains, the e-commerce growth rate, and gross margin mix. Walmart has structurally been growing into higher-income shoppers for two years, and that mix shift has been a margin tailwind. The question is whether the trend continued through Q1.

Home Depot (HD)

Watch big-ticket transactions (orders over a certain dollar threshold, which the company discloses), pro vs. DIY split, and any commentary on housing turnover. Home Depot tends to be the cleanest read on housing in the entire S&P 500.

Lowe's (LOW)

Same big-ticket and pro vs. DIY focus, but with a bigger DIY skew than Home Depot. Lowe's also tends to give cleaner gross margin colour because the company has been running a multi-year margin programme.

Target (TGT)

Watch comp sales by category. Target is the only major retailer with a material discretionary mix (apparel, home, beauty), so the dispersion within its own portfolio is a useful read on where the consumer is spending.

TJX Companies (TJX)

Watch comp transaction count. Off-price's whole pitch is treasure-hunt traffic, and the company has been one of the most consistent comp-sales generators in retail for a decade.

Costco (COST)

Watch the membership renewal rate (US, Canada, worldwide) and ancillary category strength. Costco is more a subscription business than a retailer, and the renewal rate is the single most-watched number on the print.

Best Buy (BBY)

Watch comparable sales by category (computing, mobile phones, large appliances) and any commentary on AI-PC refresh demand. Best Buy is the most leveraged name in the watchlist to the consumer electronics replacement cycle.

Dollar General (DG)

Watch traffic, ticket size, and shrink commentary. Dollar General is a direct read on the lower-income consumer, and the company has been working through a multi-year shrink and store-condition reset.

Download the Retail Earnings Tracker Excel Templates

Both files use the same six-sheet structure described above. The sample version is pre-filled with snapshot data; the live version pulls every cell from MarketXLS.

Download the templates:

• - Pre-filled with snapshot data from May 9, 2026, and a formula reference column on every sheet.
• - All twenty-three columns and every supporting sheet are live formulas. Open it inside Excel with MarketXLS connected and the sheet recalculates automatically.

The live version requires a MarketXLS subscription. Learn more about the MarketXLS add-in for Excel at the MarketXLS website or book a personalised demo.

Common Mistakes When Tracking Retail Earnings in Excel

A few patterns come up over and over again when investors build retail earnings trackers from scratch.

Mistake 1: Mixing trailing and forward metrics in the same column. A column that mixes trailing P/E for some rows and forward P/E for others is worse than no column at all. The workbook keeps trailing and forward metrics in separate columns, and the formula reference makes it obvious which one is which.

Mistake 2: Treating gross margin as a single number. For mass merchants, gross margin is a blend of fast-moving consumer goods, apparel, electronics, and grocery. A 10 basis point change at the company level can hide a 200 basis point swing in a category. Use the qualitative columns in the Strategy sheet to capture the mix question.

Mistake 3: Ignoring the calendar. Sorting the watchlist by score is fine; sorting it by reporting date is more useful in the two weeks before print. The Main Dashboard's Earnings Date column is there exactly for this reason.

Mistake 4: Anchoring to last cycle's reaction. The Walmart that beat and ran in 2024 is not the Walmart that printed mixed in 2025. Use the QM_GetHistory call to look at the most recent four quarters of price reactions, not a single comparable cycle from a different macro environment.

Mistake 5: Treating the score column as a recommendation. The score is a sort key. It blends margin, ROE, and trend, but it is mute on valuation, balance sheet quality, and any qualitative data point that did not make it into a column. Use it to organise attention, not to drive trades.

Frequently Asked Questions

What is a retail earnings tracker excel workbook?

A retail earnings tracker excel workbook is a structured spreadsheet that organises a watchlist of retailers ahead of and during earnings season. It typically contains the reporting calendar, valuation and margin metrics for each name, a trend layer, scenario analysis, and a sizing model so you can compare names on the same axes instead of jumping between earnings releases.

Which retailers should I include in my Q1 2026 retail earnings tracker?

The default watchlist in this template covers the eight largest US retailers by market cap with public Q1 2026 reporting calendars: Walmart, Home Depot, Lowe's, Target, Costco, TJX Companies, Best Buy, and Dollar General. You can extend it with names like Macy's, Kohl's, Burlington Stores, Ulta Beauty, Tractor Supply, Ross Stores, and Five Below depending on your area of focus.

Which MarketXLS formulas does the retail earnings tracker use?

The live template uses standard MarketXLS functions: QM_Last for current price, PERatio for trailing P/E, Revenue, EarningsPerShare, GrossMargin, OperatingMargin, ReturnOnEquity, TotalDebtToEquity, Beta, PriceToSales, SimpleMovingAverage at 50 and 200 days, RSI at 14 days, FiftyTwoWeekHigh, FiftyTwoWeekLow, DividendYield, DividendPerShare, RevenueGrowth, MarketCapitalization, Sector, Industry, and QM_GetHistory for daily price history. Every formula in the workbook is documented and reproducible.

Can I use this retail earnings tracker for Q2 2026 and beyond?

Yes. The workbook is structured around live formulas, so the data refreshes whenever you open it. Update the expected earnings dates in the Main Dashboard column V before each cycle and the rest of the workbook continues to work without changes.

Does the retail earnings tracker excel template include options strategies?

The Strategy / Options sheet is an educational planning grid, not a strategy generator. It captures the bias, entry review, risk trigger, and educational strategy you have chosen for each ticker so that your decisions are written down before the print, not improvised after it.

How do I customise the score in the workbook?

The score column on the Main Dashboard combines three weighted components: operating margin, return on equity, and trend. The three weights live in cells B5, B6, and B7 (yellow input cells). Change those weights and the score recalculates for every ticker. If you want to substitute different inputs - say, gross margin instead of operating margin, or revenue growth instead of ROE - replace the relevant column reference inside the score formula in column U.

The Bottom Line

A retail earnings tracker excel workbook is the difference between watching eight earnings releases as eight separate events and watching them as eight readings of the same underlying signal: the US consumer in Q1 2026. The template above gives you a structured place to record what you would do in each scenario before the print, the reporting calendar so nothing slips through the cracks, and live MarketXLS formulas so the data is always current.

Retail earnings season is dense, fast, and full of cross-currents - housing, grocery share, big-ticket discretionary, membership renewal, and the read-through to broader macro all collide inside two weeks. The tracker will not predict any of those readings. It will keep your watchlist organised so you make better decisions when the data lands.

If you want to build live retail tracking, sector dashboards, dividend models, options screeners, and the rest of an institutional-grade Excel workflow without leaving the spreadsheet, learn more about MarketXLS at the MarketXLS website or book a demo to see the platform in action.

Educational use only. Nothing in this article is a recommendation to buy or sell any security. Verify all data and formulas in your own workbook before making any decisions.