Accounts Receivable Turns Calculation

Accounts receivable turns is a key financial metric that measures how efficiently a company collects its outstanding invoices. This calculation helps businesses assess their cash conversion cycle and financial health. In this guide, we'll explain what accounts receivable turns are, how to calculate them, and how to interpret the results.

What is Accounts Receivable Turns?

Accounts receivable turns (ART) is a financial ratio that indicates how many times a company collects its average accounts receivable during a specific period. It's calculated by dividing the total credit sales by the average accounts receivable balance.

This metric is important because it provides insight into a company's ability to convert its receivables into cash. A higher accounts receivable turns ratio generally indicates better cash flow management and collection efficiency.

Accounts receivable turns is different from days sales outstanding (DSO), which measures the average number of days it takes to collect payments. While both metrics are related, ART provides a more direct measure of collection efficiency.

How to Calculate Accounts Receivable Turns

The formula for accounts receivable turns is straightforward:

Accounts Receivable Turns = Net Credit Sales / Average Accounts Receivable

Key Components

Net Credit Sales: The total amount of goods or services sold on credit during the period
Average Accounts Receivable: The average balance of accounts receivable during the period

The average accounts receivable is calculated by adding the beginning and ending accounts receivable balances and dividing by 2.

Average Accounts Receivable = (Beginning Accounts Receivable + Ending Accounts Receivable) / 2

Interpreting the Result

The accounts receivable turns ratio can be interpreted in several ways:

Industry Benchmark: Compare your ratio with industry averages. For example, in the retail industry, a ratio of 8-12 is generally considered good.
Trend Analysis: Track the ratio over time to identify trends in your company's collection efficiency.
Comparison with Other Metrics: Consider accounts receivable turns alongside other financial metrics like days sales outstanding and cash conversion cycle.

A high accounts receivable turns ratio typically indicates that your company is effectively managing its receivables and converting them into cash quickly. However, it's important to consider this metric in conjunction with other financial health indicators.

Example Calculation

Let's walk through an example to illustrate how to calculate accounts receivable turns.

Scenario

During the fiscal year, Company XYZ had the following financial data:

Beginning accounts receivable: $50,000
Ending accounts receivable: $70,000
Net credit sales: $500,000

Step 1: Calculate Average Accounts Receivable

Average Accounts Receivable = ($50,000 + $70,000) / 2 = $60,000

Step 2: Calculate Accounts Receivable Turns

Accounts Receivable Turns = $500,000 / $60,000 = 8.33 div>

In this example, Company XYZ has an accounts receivable turns ratio of 8.33, indicating that it collects its average receivables 8.33 times per year.

FAQ

What is a good accounts receivable turns ratio?: A good accounts receivable turns ratio varies by industry. Generally, ratios between 6 and 12 are considered good, while ratios below 4 may indicate poor collection efficiency.
How does accounts receivable turns relate to days sales outstanding?: Accounts receivable turns and days sales outstanding are related metrics. The relationship is expressed by the formula: Days Sales Outstanding = 365 / Accounts Receivable Turns.
Can accounts receivable turns be negative?: No, accounts receivable turns cannot be negative. A negative result would indicate that the company's ending accounts receivable balance is higher than its beginning balance, which is not possible with this calculation.
How often should I calculate accounts receivable turns?: Accounts receivable turns should be calculated on a quarterly or annual basis to track trends and compare with industry benchmarks.