XBRL (eXtensible Business Reporting Language) filing is an essential part of the annual compliance process for businesses in Singapore. The Accounting and Corporate Regulatory Authority (ACRA) requires all registered companies to submit their financial statements in XBRL format. Ensuring that your XBRL filing is accurate before submission is critical to avoid penalties, delays, or rejections.
In this article, we will walk you through the process of validating your financial statements before submitting them as part of your XBRL filing, and how automated accounting tools can help streamline this process.
Why It’s Important:
Before submitting your XBRL filing to ACRA, it's essential to ensure that the financial data is tagged and categorized correctly according to ACRA’s XBRL taxonomy. Misclassifying data, missing required tags, or errors in the formatting can result in a rejected filing or delay in processing.
Validation Factors to Consider:
Why It’s Important:
Before converting financial statements to XBRL, it's important to ensure that your data is accurate. Any inconsistencies in the data can affect the entire filing.
How to Check:
How AI Can Help:
AI-powered tools like ccMonet automatically reconcile financial data in real time, ensuring that your accounts are up-to-date and accurate. This reduces the chances of discrepancies and makes the data validation process much easier.
Why It’s Important:
One of the most common reasons for XBRL filing rejection is incorrect tagging or misclassification of financial data. ACRA has specific taxonomies that your financial data needs to align with, and using built-in XBRL validation tools can help ensure your data is tagged properly.
How to Validate:
How AI Can Help:
AI tools built into accounting software like ccMonet automatically categorize your financial transactions in line with ACRA’s taxonomies. The AI system checks for errors in real-time, such as misapplied tags, missing data, or inconsistencies, and alerts you to any issues before submission.
Why It’s Important:
Running a test submission allows you to catch any issues with your XBRL filing before the actual submission. ACRA’s XBRL filing system includes built-in error-checking, but performing your own test submission ensures that everything is in order.
How to Perform a Test Submission:
How AI Can Help:
AI-powered accounting platforms like ccMonet can simulate the test submission process, allowing you to check for issues in your filing before submitting to ACRA. These tools automatically flag potential errors and provide actionable recommendations to fix them.
Why It’s Important:
XBRL filings must adhere to very specific formatting rules, including the correct tags for each line item in the financial statements. If tags are missing, misapplied, or incorrectly formatted, your filing may be rejected.
How to Check:
How AI Can Help:
AI tools like ccMonet automatically apply the correct XBRL tags based on ACRA’s taxonomy, ensuring your financial statements are properly formatted. The AI also ensures that parent-child relationships between tags are accurately applied, helping you avoid formatting errors.
Why It’s Important:
ACRA requires consistency across your financial statements. For example, the net income reported in your income statement should match the net income in your balance sheet, and the total assets in your balance sheet should align with the cash flow statement.
How to Check:
How AI Can Help:
AI accounting platforms like ccMonet continuously validate financial data, cross-checking key figures to ensure consistency across your financial statements. The AI system flags inconsistencies, helping to ensure that your XBRL filing is error-free.
Why It’s Important:
Once all validation checks are completed, you’re ready to submit your XBRL filing to ACRA. Ensure that your financial data is fully accurate and formatted correctly to avoid delays and penalties.
How to Submit:
How AI Can Help:
AI tools like ccMonet can automate the submission process, allowing you to submit your XBRL filing directly to ACRA with just a few clicks. AI validation ensures that your filing is fully compliant and ready for submission without the need for additional manual checks.
Validating your financial statements before submitting them as part of your XBRL filing to ACRA is essential to ensure compliance and avoid errors that could lead to penalties or rejection. By leveraging AI-powered accounting tools like ccMonet, you can automate the validation process, catch errors early, and ensure that your filing is accurate and compliant with ACRA’s requirements.
👉 Ready to streamline your XBRL filing process? Explore how ccMonet can help you automate validation and ensure accurate, compliant filings.