Sales Forecasting - Loan Calculator - Basic
Download and customize a free Sales Forecasting Loan Calculator Basic Excel template. Perfect for business, legal, and personal use. Editable and ready to boost your productivity.
| Month |
Sales Forecast (USD) |
Loan Amount (USD) |
Interest Rate (%) |
Monthly Payment (USD) |
Total Repayment (USD) |
| January |
$15,000.00 |
$25,000.00 |
4.5% |
$438.71 |
$26,322.69 |
| February |
$16,500.00 |
$25,000.00 |
4.5% |
$438.71 |
$26,322.69 |
| March |
$18,000.00 |
$25,000.00 |
4.5% |
$438.71 |
$26,322.69 |
| April |
$19,500.00 |
$25,000.00 |
4.5% |
$438.71 |
$26,322.69 |
| May |
$21,000.00 |
$25,000.00 |
4.5% |
$438.71 |
$26,322.69 |
| Total |
$90,000.00 |
$125,000.00 |
4.5% |
$2,193.55 |
$131,613.47 |
Excel Template for Sales Forecasting with Loan Calculator (Basic Style)
This basic-style Excel template combines the essential features of a Sales Forecasting tool with a built-in Loan Calculator, designed specifically for small to medium-sized businesses looking to manage financial planning in an intuitive and accessible way. The integration of sales projections with loan repayment calculations enables users to forecast revenue while evaluating how financing impacts cash flow, making it ideal for entrepreneurs, business analysts, and finance managers.
Sheet Structure
The template consists of three primary worksheets:
- 1. Sales Forecasting
- 2. Loan Calculator
- 3. Dashboard Summary
Each sheet serves a distinct yet interconnected purpose, allowing users to analyze their financial outlook from multiple angles.
Sales Forecasting Sheet: Table Structure & Data Types
This sheet tracks expected sales revenue across different time periods and allows for scenario modeling.
| Column |
Data Type |
Description |
| Month/Quarter (A) |
Text / Date (Formatted as "MMM-YY") |
List of time periods: e.g., Jan-24, Feb-24, etc. |
| Product/Service (B) |
Text |
Name of the product or service line (e.g., "Basic Plan", "Premium Upgrade"). |
| Forecasted Units Sold (C) |
Numeric (Integer) |
Expected number of units to be sold per period. |
| Selling Price per Unit (D) |
Numeric (Decimal, 2 decimals) |
Fixed or variable price for each unit. |
| Forecasted Revenue (E) |
Numeric (Decimal, 2 decimals) |
Automatically calculated as C × D. |
| Actual Sales (F) |
Numeric (Decimal, 2 decimals) |
To be filled in after the period ends for comparison. |
| Variance (%) (G) |
Percentage |
=(F-E)/E (shows deviation from forecast). |
Loan Calculator Sheet: Table Structure & Data Types
This sheet enables users to simulate loan payments based on input parameters.
| Column |
Data Type |
Description |
| Loan Amount (A) |
Numeric (Decimal, 2 decimals) |
Total loan principal requested or received. |
| Annual Interest Rate (%) (B) |
Numeric (Decimal, 2 decimals) |
Stated interest rate per year. |
| Loan Term (Years) (C) |
Numeric (Integer) |
Total number of years to repay the loan. |
| Payment Frequency (D)
| Text / Dropdown |
Options: Monthly, Quarterly, Annually |
| Monthly Payment (E) | Numeric (Decimal, 2 decimals) | Calculated using Excel's PMT function. |
| Total Interest Paid (F) |
Numeric (Decimal, 2 decimals) |
=(E × C × Payments per Year) - Loan Amount |
| Total Repayment Amount (G) |
Numeric (Decimal, 2 decimals) |
Loan Amount + Total Interest Paid |
Formulas Required
- Sales Forecasting:
=C2*D2 in column E (Forecasted Revenue)
=(F2-E2)/E2 in column G (Variance %)
- Loan Calculator:
=PMT(B2/100/12, C2*12, -A2) in E2 (Monthly Payment) — assumes monthly payments
=E2*C2*12-A2 in F3 (Total Interest)
=A3+F3 in G3 (Total Repayment Amount)
- Dashboard Summary:
=SUM('Sales Forecasting'!E:E) → Total Forecasted Revenue
=SUM('Loan Calculator'!E2:E2) → Monthly Loan Payment
=IF(SUM('Sales Forecasting'!E:E) >= 'Loan Calculator'!E2, "Positive Cash Flow", "Negative Cash Flow")
Conditional Formatting Rules
- Sales Forecasting Sheet:
- If variance in column G is > 10%, highlight cell in red.
- If variance is between -10% and +10%, use yellow highlight.
- Use green fill for cells where actual sales exceed forecast.
- Loan Calculator Sheet:
- If the monthly payment (E) exceeds 15% of the total forecasted revenue, highlight in red.
- Apply data bars to show relative size of loan payments vs. revenue.
User Instructions
- Open the Excel file and navigate to the "Sales Forecasting" sheet. Enter your time periods (e.g., Jan-24, Feb-24) in column A.
- Add your products or services in column B and forecast expected units sold in column C.
- Enter the selling price per unit in column D. The template will automatically calculate revenue (E).
- After each period ends, fill in actual sales (column F) to monitor performance.
- Navigate to "Loan Calculator" and input your loan details: amount, interest rate (%), and term in years.
- Select payment frequency from the dropdown. The monthly payment will appear instantly.
- Review the "Dashboard Summary" sheet to see total forecasted revenue, loan payments, and cash flow status.
- Use conditional formatting to identify risks (e.g., large variances or high repayment burdens).
Example Rows
| Month/Quarter | Product/Service | Forecasted Units Sold | Selling Price per Unit ($) | Forecasted Revenue ($) | Actual Sales ($) | Variance (%) |
| Jan-24 |
Basic Plan |
50 |
99.99 |
$4,999.50 |
$5,200.00 |
+4.0% |
| Feb-24 |
Premium Upgrade |
35 |
199.95 |
$6,998.25 |
$6,700.00 |
-4.3% |
Recommended Charts & Dashboards (in Dashboard Summary Sheet)
- Line Chart: Monthly forecasted vs actual sales revenue over time.
- Pie Chart: Revenue contribution by product line (from Sales Forecasting sheet).
- Bar Chart: Loan payment vs. average monthly forecasted revenue to visualize affordability.
- Gauge Chart (via Conditional Formatting or Power View): Show if projected cash flow is positive/negative.
Conclusion
This basic-style Excel template for Sales Forecasting with Loan Calculator integrates essential financial planning tools in a clean, easy-to-use format. It empowers users to project future revenue while evaluating the impact of loans on business sustainability—making it an indispensable tool for strategic decision-making. With clear structure, automated calculations, and visual feedback through conditional formatting and charts, this template delivers professional results without complexity.
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