
What is allowance for doubtful accounts?
The term “Allowance for Doubtful Accounts” is an accounting provision made by a company to account for potential losses from customers who may not be able to pay their debts. It is a specific type of allowance that focuses on accounts receivable, which represents the amount of money owed to a company by its customers for goods or services provided.
The purpose of the allowance is to recognize the possibility of non-payment or partial payment by customers and to match the expenses associated with potential bad debts with the revenues they are associated with. It follows the principle of conservatism in accounting, where potential losses are recognized in advance to ensure accurate financial reporting.
To create the allowance for doubtful accounts, a company assesses its outstanding accounts receivable and identifies customers who may have difficulty paying their debts. Factors considered may include the customer’s payment history, financial stability, industry conditions, and any specific circumstances that could affect their ability to pay.
The company then estimates the percentage of these outstanding amounts that may ultimately prove uncollectible and records that estimated amount as an expense in the income statement. The corresponding entry is made to the allowance for doubtful accounts account, reducing the overall accounts receivable on the balance sheet.
Over time, as actual bad debts are identified and specific customers default on their payments, the company writes off those amounts from the accounts receivable and reduces the allowance for doubtful accounts accordingly. This process ensures that the financial statements reflect a more accurate representation of the company’s expected losses from non-payment.
In summary, the Allowance for Doubtful Accounts is an accounting provision made by a company to account for potential losses from customers who may not be able to pay their debts. It focuses specifically on the accounts receivable and helps match expenses with revenues while providing a more accurate representation of the company’s expected bad debt losses.

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