Simple Sales Report Template In Excel For Beginners

Sunday, January 25th 2026. | Excel Templates

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Creating a simple sales report template in Excel is a fantastic way for beginners to track performance, identify trends, and make informed business decisions. A well-structured template simplifies data entry, automates calculations, and visually presents key insights. Here’s a step-by-step guide to building one, along with helpful tips and considerations.

Setting Up the Foundation

First, open a new Excel workbook. Rename the first sheet to “Sales Data” and the second sheet to “Sales Report.” The “Sales Data” sheet will be your primary input area, while the “Sales Report” sheet will display the analyzed information.

Sales Data Sheet

This sheet is where you’ll meticulously record your sales transactions. Design the following columns:

  • Date: The date of the sale. Use the Date format (e.g., MM/DD/YYYY).
  • Product: The name or ID of the product sold. Consider creating a dropdown list for standardized entries (Data > Data Validation > Allow: List, Source: [your product list]).
  • Salesperson: The name of the salesperson responsible for the sale. As with ‘Product’, data validation dropdowns can improve consistency.
  • Quantity Sold: The number of units sold in the transaction. Use Number format.
  • Unit Price: The price of each unit. Use Currency format.
  • Total Revenue: A calculated field (see formula below). Use Currency format.
  • Cost of Goods Sold (COGS): The cost associated with the goods sold in this transaction. Use Currency format. This might be a fixed cost per unit or dynamically calculated based on a separate costing table.
  • Gross Profit: A calculated field (see formula below). Use Currency format.
  • Customer (Optional): Customer name, if you track individual customers.
  • Region (Optional): Geographical region of the sale.

In the “Total Revenue” column, enter the following formula (assuming “Quantity Sold” is in column D and “Unit Price” is in column E, and you are starting on row 2):

=D2*E2

In the “Gross Profit” column, enter the following formula (assuming “Total Revenue” is in column F and “COGS” is in column G, and you are starting on row 2):

=F2-G2

Drag these formulas down to apply them to all rows in your data table.

Format the column headers to be bold and easily readable. Freeze the top row (View > Freeze Panes > Freeze Top Row) to keep the headers visible as you scroll down through your data.

Sales Report Sheet

This sheet will summarize and present your sales data. Consider the following key performance indicators (KPIs) for your report:

  • Total Revenue: Overall sales generated.
  • Total Cost of Goods Sold: Total expenses for the sold goods.
  • Total Gross Profit: Overall profitability.
  • Revenue by Product: Sales revenue generated by each product.
  • Revenue by Salesperson: Sales revenue generated by each salesperson.
  • Monthly Revenue Trend: Sales performance over time (monthly).

Building the Sales Report

Now, let’s populate the “Sales Report” sheet with formulas to calculate these KPIs. We will primarily use the `SUM`, `SUMIF`, and `SUMIFS` functions.

Total Revenue, COGS, and Gross Profit

In cells A1, A2, and A3, enter the labels “Total Revenue:”, “Total COGS:”, and “Total Gross Profit:” respectively.

In cell B1 (next to “Total Revenue”), enter the following formula (assuming your “Sales Data” sheet is named “Sales Data” and the “Total Revenue” column is column F):

=SUM('Sales Data'!F:F)

In cell B2 (next to “Total COGS”), enter the following formula (assuming your “Sales Data” sheet is named “Sales Data” and the “COGS” column is column G):

=SUM('Sales Data'!G:G)

In cell B3 (next to “Total Gross Profit”), enter the following formula (assuming your “Sales Data” sheet is named “Sales Data” and the “Gross Profit” column is column H):

=SUM('Sales Data'!H:H)

Revenue by Product

In cells A5 and A6, enter the labels “Product” and “Revenue” respectively. List your products down column A starting from A7. Let’s assume your product list is in A7:A10.

In cell B7 (next to the first product), enter the following formula (assuming your “Sales Data” sheet is named “Sales Data”, the “Product” column is column B, the “Total Revenue” column is column F, and the first product is in cell A7 of the “Sales Report” sheet):

=SUMIF('Sales Data'!B:B,A7,'Sales Data'!F:F)

Drag this formula down to apply it to the other products in your list. This formula sums the revenue for each product based on the product name in column A.

Revenue by Salesperson

Similarly, in cells D5 and D6, enter the labels “Salesperson” and “Revenue” respectively. List your salespersons down column D starting from D7. Let’s assume your salesperson list is in D7:D10.

In cell E7 (next to the first salesperson), enter the following formula (assuming your “Sales Data” sheet is named “Sales Data”, the “Salesperson” column is column C, the “Total Revenue” column is column F, and the first salesperson is in cell D7 of the “Sales Report” sheet):

=SUMIF('Sales Data'!C:C,D7,'Sales Data'!F:F)

Drag this formula down to apply it to the other salespersons in your list. This formula sums the revenue for each salesperson.

Monthly Revenue Trend

In cells A12 and A13, enter the labels “Month” and “Revenue” respectively. In column A, enter the months of the year (e.g., January, February, March…) starting from A14. Format these cells as Date and then customize the format to show only the month name.

In cell B14 (next to “January”), enter the following formula (assuming your “Sales Data” sheet is named “Sales Data”, the “Date” column is column A, the “Total Revenue” column is column F, and you want to calculate for January of the year 2024):

=SUMIFS('Sales Data'!F:F,'Sales Data'!A:A,">="&DATE(2024,1,1),'Sales Data'!A:A,"<="&DATE(2024,1,31))

You will need to adjust the `DATE` function for each month. For example, for February 2024, the formula would be:

=SUMIFS('Sales Data'!F:F,'Sales Data'!A:A,">="&DATE(2024,2,1),'Sales Data'!A:A,"<="&DATE(2024,2,29))

Alternatively, you can use cell references to automatically update the year and month. Instead of hardcoding the dates, you could have the year in a specific cell (e.g., G1) and the month number in another column next to the month name (e.g., C14 for January = 1, C15 for February = 2, etc.). Then the formula would be:

=SUMIFS('Sales Data'!F:F,'Sales Data'!A:A,">="&DATE($G$1,C14,1),'Sales Data'!A:A,"<="&EOMONTH(DATE($G$1,C14,1),0))

This uses the `EOMONTH` function to automatically determine the last day of the month.

Visualizing the Data

Excel's charting tools are essential for presenting your sales data effectively. Select the "Month" and "Revenue" data for the monthly trend (A13:B[Last Month Row]) and go to Insert > Charts > Line Chart. This creates a visual representation of your monthly sales performance.

Similarly, create bar charts or pie charts for Revenue by Product and Revenue by Salesperson to easily compare performance.

Tips and Considerations

* Data Validation: Use data validation to ensure consistency in your "Sales Data" sheet, especially for "Product" and "Salesperson" columns. * Conditional Formatting: Highlight key areas with conditional formatting. For example, highlight months with sales above a certain threshold or products that are underperforming. * Pivot Tables: For more complex analysis, consider using pivot tables. They offer powerful summarization and filtering capabilities. * Error Handling: Implement error handling (e.g., using `IFERROR` function) to gracefully handle potential errors in your formulas. * Regular Updates: Commit to regularly updating your "Sales Data" sheet to keep your sales report accurate and relevant. * Customize: This is a basic template. Customize it to fit your specific business needs and reporting requirements. Add columns, KPIs, and visualizations as needed. By following these steps, you can create a simple yet effective sales report template in Excel that will empower you to track, analyze, and improve your sales performance. Remember to start simple, gradually add complexity as your needs evolve, and always focus on presenting the data in a clear and actionable way.

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