Earnings Data in Excel: Live EPS, Revenue, and Estimate Tracking for May 2026

Earnings data in Excel is the foundation of nearly every serious equity workflow. Estimates move, surprises happen, multiples re-rate, and the spreadsheet sitting on your second monitor is where every one of those events eventually has to be modeled. The problem has never been Excel itself. The problem is getting current EPS, revenue, growth, and consensus estimate data into the spreadsheet without copying figures out of three different broker dashboards. This guide explains how to pull live earnings data into Excel with MarketXLS, walks through the fields that actually matter for an earnings-driven workflow, and ships a complete template that ranks 25 large-cap names on EPS, revenue growth, forward valuation, and a composite Quality Score. The static version is pre-filled with snapshot data as of May 13, 2026 so you can see the entire model end to end, and the live formula version refreshes every cell the moment you open the workbook.

Earnings Data in Excel: The Fields That Matter (At a Glance)

These twelve fields are the backbone of any serious earnings workbook. The rest of this post explains how to wire them together in Excel and how the included template ranks 25 large-cap stocks on every one of them automatically.

Why Pulling Earnings Data Into Excel Matters Right Now (May 2026)

The May 2026 backdrop makes the case for a live earnings workflow more pressing than it has been in several years. Q1 2026 earnings season is still in the rear-view mirror, the next round of reports is six to ten weeks away, and analysts are quietly revising estimates in both directions across every major sector. The dispersion of outcomes is wide. Mega-cap technology names are still posting twenty to thirty percent revenue growth on AI-related spending. Consumer discretionary is bifurcated, with the high end holding up and the middle showing soft demand. Financials are trading on a curve that keeps re-pricing, and energy is whipping with crude. In an environment that wide, working from last month's print is not a luxury you can afford.

The cost of a stale earnings dataset compounds quickly. A trailing P/E of fifteen on a name that just had its forward EPS estimate cut by ten percent is not actually a fifteen P/E. A forward P/E that looked rich at the start of the quarter may be reasonable today because consensus crept higher. The only way to see the gap quickly is to have current EPS, current revenue, current growth, and current forward estimates all recalculating in one workbook. That is exactly the gap that pulling earnings data into Excel with MarketXLS fills. Press F9 and the entire dashboard refreshes against the latest consensus.

The Four Categories of Earnings Data You Actually Need

A serious earnings workbook needs four categories of data. Each category answers a different question, and a model that omits any of them gives you a partial picture.

1. Reported Earnings

This is the trailing twelve-month EPS, the most recent quarterly EPS, and the trailing revenue figure. These are the anchors. They tell you what the company actually earned, not what an analyst hopes it earned. In MarketXLS you pull them with =EarningsPerShare("AAPL") and =Revenue("AAPL"). The trailing P/E in column F of the included template uses =PERatio("AAPL") and is calculated against the trailing EPS so it ages cleanly across the quarter.

2. Consensus Estimates

The market trades on expectations, not on what was reported last quarter. MarketXLS exposes the consensus estimate chain through =EPSEstimateNextQuarter("AAPL"), =EPSEstimateCurrentYear("AAPL"), and =EPSEstimateNextYear("AAPL"). Together these three fields let you compute a forward P/E that actually means something, and they let you see the slope of the estimate curve from one quarter to the next year. A name where the next-quarter estimate is below the current-year average is a name where analysts are bracing for a slowdown.

3. Growth Rates

Year-over-year quarterly EPS growth and trailing revenue growth are the two cleanest growth signals. MarketXLS gives you =QuarterlyEarningsGrowthYOY("AAPL") and =RevenueGrowth("AAPL"). The difference between the two tells you whether margins are expanding or compressing. EPS growth running well above revenue growth points to operating leverage. EPS growth running below revenue growth points to margin pressure, share dilution, or rising costs.

4. Calendar Data

The earnings calendar is the most neglected category in most amateur workbooks. =EarningsDate("AAPL") returns the next scheduled report date. =PreviousEarningsReportDate("AAPL") returns the most recent one. Tracking these in Excel lets you cluster your watchlist by report window and plan position checks accordingly. The included template has a dedicated Earnings Calendar sheet that sorts every ticker by the next report date.

How To Build an Earnings Screener in Excel With MarketXLS

The screener at the heart of the included template lives on the Main Dashboard sheet. Twenty-five large-cap tickers fill column A. Sector classification fills column B via =Sector("AAPL"). Live price fills column C via =QM_Last("AAPL"). From there, the rest of the row pulls the earnings stack:

D: =EarningsPerShare("AAPL")
E: =EPSEstimateNextYear("AAPL")
F: =PERatio("AAPL")
G: =ForwardPE("AAPL")
H: =Revenue("AAPL")/1000000000
I: =RevenueGrowth("AAPL")
J: =QuarterlyEarningsGrowthYOY("AAPL")
K: =MarketCapitalization("AAPL")/1000000000
L: =Beta("AAPL")
M: =EarningsDate("AAPL")

Five input cells at the top of the dashboard control the screener: portfolio size, target EPS growth, max forward P/E, minimum revenue growth, and an earnings window in days. These are formatted yellow with a thick border so they read as user inputs. Every formula on every other sheet references these cells, which means changing one number on the dashboard cascades through the calendar, the scenarios, the allocation methods, and the sector rollup.

The Composite Quality Score

Column N on the dashboard runs a five-component composite. Each component is scored zero to twenty, and the sum is a zero-to-one-hundred number that ranks the watchlist on earnings quality. The five components are:

1. Forward P/E. A forward P/E under twenty scores full marks. A forward P/E of forty is the cutoff. The formula compresses with MAX(0,MIN(20,(40-G)/2)).
2. Revenue growth. A revenue growth rate of twenty percent or higher caps the component. Negative growth scores zero.
3. EPS growth. A quarterly YoY EPS growth rate of forty percent or higher caps. The component is half of EPS growth, capped.
4. Beta. A beta of zero point five scores full marks. A beta of one point five scores zero. Defensive names get a quality bonus.
5. Earnings positivity. Companies with positive EPS get a fifteen-point base. Companies whose forward estimates exceed their trailing EPS pick up an additional five.

The final verdict column reads "High Quality" at seventy-plus, "Solid" between fifty and seventy, "Watch" between thirty and fifty, and "Risky" below thirty. Color-scale conditional formatting paints the score column from red to yellow to green so the rank is visible at a glance.

The Earnings Calendar Sheet: Knowing When the Next Number Drops

The Earnings Calendar sheet is where most of the operational value lives once the screener is built. Each row pulls the next earnings date for a ticker, the consensus EPS for the upcoming quarter, the full-year and next-year consensus EPS, the previous report date, and the report time (Before Market Open versus After Market Close). The formulas are:

D: =EarningsDate("AAPL")
E: =EPSEstimateNextQuarter("AAPL")
F: =EPSEstimateCurrentYear("AAPL")
G: =EPSEstimateNextYear("AAPL")
H: =PreviousEarningsReportDate("AAPL")
I: =PreviousEarningsReportTime("AAPL")

Sort the sheet by column D and the entire watchlist lines up chronologically. The closest report window is at the top. Names reporting in the same week cluster naturally. This is the view that drives a pre-earnings position-check workflow: instead of finding out a stock you own reported overnight, you see the report coming on a Wednesday morning two weeks out and decide what to do.

The earnings window input on the Main Dashboard ties back to this sheet. Set it to fourteen and you are signaling that any name reporting in the next two weeks is in your check zone. Combine that with the Quality Score column and you have a clear short list of names where earnings risk and quality intersect.

The Surprise & Growth Scenarios Sheet: Stress-Testing the Multiple

The Scenarios sheet flexes consensus EPS by minus ten percent, minus five percent, flat, plus five percent, and plus ten percent. For each scenario, it recomputes the implied P/E at the current price. The math is straightforward but the insight is non-trivial.

D: =C*0.90  -> EPS miss case
E: =C*0.95
F: =C*1.00  -> flat
G: =C*1.05
H: =C*1.10  -> EPS beat case
I: =B/D     -> implied P/E if the company misses
J: =B/H     -> implied P/E if the company beats

The implied P/E in column I is the multiple the market would have to accept if the EPS came in ten percent below consensus while the price stays unchanged. The implied P/E in column J is the reverse. Comparing these to the trailing P/E on Main Dashboard tells you which way the multiple is leaning. A miss column that still sits below the trailing P/E means the market has already discounted a partial miss. A beat column that runs well below the trailing P/E means a beat would compress the multiple even further, which is the textbook setup for post-earnings drift.

This is a hypothesis-testing tool, not a forecast. Past surprises do not predict future ones, and EPS scenarios in isolation do not capture the guidance language that often moves the stock more than the print itself. But as a sanity check on whether a name's earnings expectations are baked into the multiple, the scenarios table earns its keep every quarter.

Portfolio Allocation From the Same Earnings Data

The Portfolio Allocation sheet uses the same dataset three ways. Equal-weight divides the portfolio size evenly across all twenty-five names. Growth-weighted scales each position by quarterly EPS growth, which tilts capital toward faster-growing names. Quality-weighted scales each position by the composite Quality Score from Main Dashboard, which tilts capital toward higher-scoring names regardless of growth rate.

The three methods are not predictions about which approach will work better. They are sizing rules that flow from explicit, transparent inputs. Equal-weight assumes you have no view. Growth-weighted assumes faster earnings growth deserves more capital. Quality-weighted assumes the composite is a better cross-section than any one factor. Side by side, the three columns of dollar amounts and projected share counts make the tradeoffs visible. You can read which names get cut hard under each method and which names dominate.

The projected share count columns divide each method's dollar allocation by the current price from Main Dashboard, which gives you something you can actually act on with a broker. None of these columns are recommendations. They are calculations on inputs you control.

The Sector Comparison Sheet: GICS Rollups Without Hardcoded Numbers

The Sector Comparison sheet aggregates the Main Dashboard by GICS sector using AVERAGEIFS. Every cell is dynamic. There are no hardcoded numbers. The formula pattern is:

=IFERROR(AVERAGEIFS('Main Dashboard'!$J$13:$J$37,'Main Dashboard'!$B$13:$B$37,A5),0)

The result is a clean comparison of average quarterly EPS growth, average revenue growth, average trailing P/E, average forward P/E, average beta, and average Quality Score by sector. A conditional color scale on the Quality Score column makes the relative rank obvious. The verdict column flags any sector averaging sixty or above as High Quality, forty to sixty as Mixed, and below forty as Stretched.

Reading the table is straightforward. Technology and Communication Services usually run the highest forward P/E because of expected EPS growth. Consumer Staples and Utilities tend to score lowest on growth but highest on stability, which the Quality Score sometimes flatters and sometimes punishes depending on which component dominates. Energy whips with crude, so the revenue growth column can swing fifteen points quarter to quarter. The widening or narrowing of the forward P/E versus trailing P/E gap is the cleanest signal of where analysts expect the next leg of EPS to go.

Building Your Own Watchlist On Top of This Template

The twenty-five tickers in the included template were chosen for sector breadth and active analyst coverage, not as a recommendation list. The first thing many users will want to do is swap in their own watchlist. The mechanics are simple. Replace the tickers in column A on Main Dashboard. Every other cell in that row updates automatically because every formula refers to the ticker in column A through Excel's relative referencing. The Earnings Calendar, Scenarios, Allocation, and Sector Comparison sheets all pull from Main Dashboard, so they update too.

If you want to expand beyond twenty-five rows, copy the formula row from the last existing row, paste it into the new rows, and update column A. The AVERAGEIFS ranges on the Sector Comparison sheet are anchored to rows thirteen through thirty-seven, which is the current watchlist length. Expand those ranges if you add tickers. Every other sheet expands automatically because it references Main Dashboard rows by index.

Download the Templates

Download the templates:

• - Pre-filled with snapshot data as of May 13, 2026
• - Live-updating MarketXLS formulas

Both files are six-sheet workbooks: How To Use, Main Dashboard, Earnings Calendar, Surprise & Growth Scenarios, Portfolio Allocation, and Sector Comparison. The static version is useful as a reference, and every cell in the formula version recalculates against live earnings data when you press F9 with MarketXLS loaded.

What This Workflow Replaces

The default earnings workflow for most retail investors is a rotating set of browser tabs: one for the broker dashboard, one for a financial news site, one for a screener, and one for the earnings calendar on a third-party site. Each tab shows a slightly different number, each tab updates on a different cadence, and none of them feed back into the spreadsheet where positions actually get sized. The cost is friction. The friction shows up as missed estimate revisions, surprised reactions to reports that were on the calendar all along, and stale valuation work.

Replacing that pattern with a single Excel workbook fed by MarketXLS formulas eliminates the multi-tab problem in one step. EPS, revenue, growth, estimates, and the earnings calendar all land in cells you control. Every row recalculates. Every chart you build on top of the data refreshes with it. The workbook becomes the workspace, not just the destination.

FAQ

Can MarketXLS pull historical EPS in Excel?

Yes. The trailing twelve-month EPS comes through =EarningsPerShare("AAPL") and the historical financials family of functions exposes basic and diluted EPS by reporting period. The included template uses the trailing figure and the next-year consensus to keep the dashboard compact, but the underlying data is available for deeper historical work.

Does this template work without an internet connection?

The static sample version works offline because every value is a literal number. The live formula version requires MarketXLS to be installed and signed in so the formulas can hit the data feed. Pressing F9 with no connection will leave the most recent cached values in place.

How often do the consensus EPS estimates update?

MarketXLS pulls consensus estimates from the same data feed that institutional desks use, and estimates are refreshed multiple times per day as analysts publish revisions. The most active revision windows are the two to three weeks before each earnings season, when analysts are tuning their final pre-report numbers.

Can I use this template for international stocks?

The MarketXLS formulas accept standard exchange-suffixed tickers for many international markets, but the consensus estimate coverage is deeper for US large caps than for smaller international names. The earnings calendar function in particular is most reliable for US-listed companies with active SEC filings. If you adapt this template for non-US tickers, start with the largest names on the local exchange.

What is the difference between trailing P/E and forward P/E in this template?

Trailing P/E is the current price divided by the most recent twelve months of EPS. Forward P/E is the current price divided by the consensus EPS estimate for the next fiscal year. The trailing number reflects what the company has actually earned. The forward number reflects what the market expects the company to earn. Comparing the two is one of the cleanest reads on whether analysts expect EPS to expand or compress over the next year.

How do I refresh the data?

Open the workbook in Excel with MarketXLS installed and signed in. Press F9, or set workbook calculation to automatic. The MarketXLS data feed populates every formula cell on every sheet. The dashboard, calendar, scenarios, allocation, and sector comparison sheets all recalculate from the same pull.

The Bottom Line

Earnings data in Excel is not a side project. It is the workspace where investment decisions actually happen, and the friction of getting current EPS, revenue, growth, estimates, and calendar data into the spreadsheet is the difference between a useful model and a stale one. MarketXLS closes that gap with a function family that pulls every relevant field directly into Excel cells you can build on. The included template is a working example: a six-sheet workbook that ranks twenty-five large-cap names on the earnings stack, flags the closest report windows, stress-tests the multiple under five EPS scenarios, allocates capital three ways, and rolls up the entire watchlist by GICS sector with no hardcoded numbers. Drop your own watchlist into column A on Main Dashboard and the rest of the workbook follows.

For more on how MarketXLS connects Excel to live equity data, visit marketxls.com. To see the template in action with your own watchlist, book a demo.