amcauae

logo
logo

IFRS 9 Bad Debt Provision Calculation

Bad debt provision calculation

Bad debt provision calculation is an accounting estimate of the amount of receivables that are unlikely to be collected. It is a necessary part of financial reporting, as it helps to ensure that businesses accurately reflect their financial position. IFRS 9 is the International Financial Reporting Standards (IFRS) that governs the accounting for financial instruments. It requires businesses to calculate bad debt provision using the expected credit loss (ECL) method. The ECL method takes into account the expected timing and amount of cash flows from the receivables.

Dubai chartered accountants calculate bad debt provision based on IFRS 9. They can help businesses to ensure that their financial statements are accurate and compliant with IFRS.

In this article, we will define the key concepts involved in the calculation and provide a brief overview of the process. We will also discuss the different factors that accountants need to consider when calculating bad debt provision, such as the age of the receivables, the customer’s creditworthiness, and the economic environment.

IFRS 9 Bad debt provision calculation: The Simplified Approach:

  • The simplified approach is an option available to businesses under IFRS 9 bad debt provision calculation.
  • This approach is less complex than the full ECL method, but it still requires businesses to take into account the expected timing and amount of cash flows from the receivables.
  • To implement the simplified approach, businesses need to create a provision matrix.
  • This matrix will show the expected credit losses for each receivable, based on the age of the receivable and the customer’s creditworthiness.
  • The provision matrix can be created using a variety of methods, such as a statistical model or a judgmental approach.
  • Once the provision matrix has been created, the business can calculate the total bad debt provision by summing the expected credit losses for each receivable.
  • The simplified approach is a useful option for businesses that do not have the resources or expertise to implement the full ECL method.
  • However, it is important to note that the ‘simplified approach’ may not always provide an accurate estimate of bad debt provision.
  • Businesses should carefully consider the following factors when deciding whether to implement the simplified approach:
  • The age of the receivables.
  • The customer’s creditworthiness.
  • The economic environment.
  • Dubai chartered accountants calculate bad debt provision based on IFRS 9.

The Importance of Calculating Bad Debt Provision Accurately

IFRS 9 bad debt provision calculation accurately is important for a number of reasons:

  1. It helps businesses to ensure that their financial statements are accurate. This is important for businesses to attract investors and creditors.
  2. It helps businesses to manage their cash flow. By knowing how much bad debt they are likely to incur, businesses can better plan their cash flow and avoid liquidity problems.
  3. It helps businesses to comply with accounting standards. IFRS 9 requires businesses to calculate bad debt provision using the expected credit loss (ECL) method. By failing to calculate bad debt provision accurately, businesses may be in breach of accounting standards.
  4. It helps businesses to mitigate their risk. By setting aside a provision for bad debt, businesses can reduce the risk of financial losses if the receivables are not collected.
  5. It helps businesses to maintain a good credit rating. A good credit rating is important for businesses to be able to borrow money and get favorable terms from suppliers.

Businesses should carefully consider the factors involved in calculating bad debt provision and ensure that they are using an appropriate method. They should also consult with a Dubai chartered accountant to ensure that their calculations are accurate.

How to calculate bad debt provision under IFRS 9:

The answer to how to calculate bad debt provision under IFRS 9 requires several steps:

  1. Use a reliable method: There are a number of different methods that can be used to calculate bad debt provision. Businesses should use a method that is reliable and has been tested over time.
  2. Use up-to-date information: The information used to calculate bad debt provision should be up-to-date. This includes information about the age of the receivables, the customer’s creditworthiness, and the economic environment.
  3. Review the calculation regularly: Businesses should review the calculation of bad debt provision regularly. This is important to ensure that the calculation is still accurate and that it reflects the current economic conditions.

The Future of IFRS 9 Bad Debt Provision Calculation

The way bad debt provision is calculated is constantly evolving. In the past, businesses would typically use a simple provision method, such as the aging method. However, this method is not always accurate, as it does not take into account the expected timing and amount of cash flows from the receivables.

The introduction of IFRS 9 has led to a more sophisticated approach to bad debt provision calculation. The ECL method requires businesses to take into account a wider range of factors, such as the age of the receivables, the customer’s creditworthiness, and the economic environment.

As the world becomes more complex, the way bad debt provision is calculated is likely to become even more sophisticated. Businesses will need to use increasingly sophisticated methods to ensure that they are calculating bad debt provision accurately.

The future of IFRS 9 bad debt provision calculation:

  • The use of big data: Big data can be used to better understand the risk of default for individual customers. This information can be used to improve the accuracy of bad debt provision calculations under IFRS 9.
  • The use of machine learning: Machine learning can be used to automate the process of bad debt provision calculation under IFRS 9. This can save businesses time and money.
  • The use of predictive analytics: Predictive analytics can be used to predict which customers are most likely to default. This information can be used to focus resources on the customers who are most at risk.

These are just a few of the trends that are likely to shape the future of bad debt provision calculation. As the world becomes more complex, businesses will need to use increasingly sophisticated methods to ensure that they are calculating bad debt provision accurately.

Contact Ahmed Mahfoudh Chartered Accountants & Auditors today to learn more about how we can help you with your bad debt provision calculation under IFRS 9.

We also offer a number of other services, such as:

  • Business advisory
  • Resolving real estate disputes
  • Corporate Finance Advisory

Contact us today to schedule your free consultation!

 

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top