Glossary
Days Payable Outstanding (DPO)

Days Payable Outstanding (DPO)

Published

April 22, 2026

Last updated

April 22, 2026

Definition

Days Payable Outstanding (DPO) is a key financial ratio that measures the average number of days a company takes to pay its suppliers for goods and services purchased on credit. This metric, found by analyzing accounts payable on the balance sheet and the cost of goods sold (COGS), provides insight into a company's cash management practices and its policies regarding supplier payments.

A higher DPO indicates that a company is taking longer to pay its bills, which can be a strategic way to conserve cash and improve working capital. However, an unusually high DPO relative to industry norms could also signal potential liquidity issues or strained relationships with vendors. Conversely, a very low DPO means a company is paying its suppliers quickly, which might not be the most efficient use of cash but can foster strong supplier goodwill.

DPO is a critical component of the cash conversion cycle, along with Days Sales Outstanding (DSO) and Days Inventory Outstanding (DIO). By analyzing these metrics together, finance teams can gain a comprehensive view of the company's operational efficiency and overall liquidity management.

Frequently Asked Questions

What does DPO tell you?

DPO indicates how long a company takes to pay its suppliers, providing insight into its cash management efficiency and supplier credit terms.

What is a good DPO?

A "good" DPO is industry-dependent, but a higher number can indicate efficient cash management. An excessively high DPO, however, may signal payment issues or strained supplier relationships.

What is the difference between DPO and DSO?

Days Payable Outstanding (DPO) measures how long it takes a company to pay its suppliers, while Days Sales Outstanding (DSO) measures how long it takes to collect payments from its customers.

How do you calculate DPO?

DPO is calculated by dividing the ending Accounts Payable by the Cost of Goods Sold (COGS) for the period, and then multiplying the result by the number of days in that period.

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