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Message type: E = Error
Message class: 9J1UF_VAT_DECL - VAT decl UA message class
Message number: 027
Message text: Annex &. Sum by table & not equal to sum in declaration row(s) &
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9J1UF_VAT_DECL027
- Annex &. Sum by table & not equal to sum in declaration row(s) & ?The SAP error message 9J1UF_VAT_DECL027 indicates a discrepancy between the sum of values in a specific table and the sum of values in the corresponding declaration rows for VAT (Value Added Tax) reporting. This error typically arises during the VAT declaration process when the totals calculated from the detailed line items do not match the totals that are expected in the declaration.
Cause:
- Data Entry Errors: Incorrect or inconsistent data entries in the VAT-related tables can lead to mismatches.
- Missing Entries: Some transactions may not have been included in the VAT calculation, leading to an incomplete sum.
- Incorrect Configuration: The configuration settings for VAT reporting may not align with the actual business processes or accounting practices.
- Changes in Tax Rates: If tax rates have changed and not been updated in the system, it can lead to discrepancies.
- Timing Issues: Transactions recorded in different periods may not be accounted for correctly in the VAT declaration.
Solution:
- Review Data Entries: Check the entries in the relevant VAT tables to ensure that all transactions are recorded correctly and that there are no missing or incorrect entries.
- Recalculate VAT: Use the VAT calculation tools in SAP to recalculate the VAT amounts and ensure they match the expected totals.
- Check Configuration: Review the configuration settings for VAT reporting in SAP to ensure they are set up correctly according to your business requirements.
- Update Tax Rates: Ensure that all tax rates are up to date and reflect the current regulations.
- Consult Logs: Check the logs for any errors or warnings that may provide additional context for the discrepancy.
- Run Reports: Generate detailed reports to compare the sums from the tables and the declaration rows to identify where the discrepancies lie.
Related Information:
By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.
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