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Average Collection Period Using Receivables Turnover Calculator

Formula Used:

\[ \text{Average Collection Period} = \frac{365}{\text{Receivables Turnover Ratio}} \]

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1. What is the Average Collection Period?

The Average Collection Period is the approximate amount of time that it takes for a business to receive payments owed in terms of accounts receivable. It measures how efficiently a company manages its credit and collection processes.

2. How Does the Calculator Work?

The calculator uses the formula:

\[ \text{Average Collection Period} = \frac{365}{\text{Receivables Turnover Ratio}} \]

Where:

Explanation: This formula converts the receivables turnover ratio into the average number of days it takes to collect accounts receivable.

3. Importance of Average Collection Period Calculation

Details: Monitoring the average collection period helps businesses assess the effectiveness of their credit policies, identify potential cash flow issues, and compare collection efficiency with industry standards.

4. Using the Calculator

Tips: Enter the Receivables Turnover Ratio (must be greater than 0). The calculator will compute the Average Collection Period in days.

5. Frequently Asked Questions (FAQ)

Q1: What is a good Average Collection Period?
A: A lower collection period is generally better, indicating faster collection. The ideal period varies by industry and should be compared with industry averages.

Q2: How is Receivables Turnover Ratio calculated?
A: Receivables Turnover Ratio = Net Credit Sales / Average Accounts Receivable

Q3: Why use 365 days in the formula?
A: 365 represents the number of days in a year, converting the turnover ratio into days for easier interpretation.

Q4: What does a high Average Collection Period indicate?
A: A high period may indicate inefficient collection processes, poor credit policies, or customers having difficulty paying.

Q5: Can this metric be used for all businesses?
A: This metric is most relevant for businesses that extend credit to customers. Cash-based businesses may not find this metric useful.

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