How to use FINCS_RECON_PL30 - Compare Group Journal Entries

SAP Transaction Code - Details

• Transaction Code: FINCS_RECON_PL30

  Description: Compare Group Journal Entries

  Release: S/4HANA only

• • Program: FINCS_RECON_MANUAL_ENTRIES

    Screen: 1000

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Smart SAP Assistant

• SAP Tcode: FINCS_RECON_PL30 - Compare Group Journal Entries

  
  Overview:
  FINCS_RECON_PL30 is a SAP transaction code used to compare group journal entries. It is part of the Financial Closing Cockpit (FINCS) module in the SAP system. This transaction code allows users to compare journal entries from different periods and identify any discrepancies. 
  
  Functionality: 
  FINCS_RECON_PL30 enables users to compare group journal entries from different periods and identify any discrepancies. It also allows users to view the differences between the two periods and make corrections if necessary. The transaction code also provides a detailed report of the differences between the two periods, which can be used for further analysis. 
  
  Step-by-step How to Use: 
  1. Enter the transaction code FINCS_RECON_PL30 in the command field. 
  2. Select the period for which you want to compare group journal entries. 
  3. Select the company code for which you want to compare group journal entries. 
  4. Select the reconciliation type (e.g., manual or automatic). 
  5. Select the reconciliation method (e.g., by document or by account). 
  6. Select the reconciliation criteria (e.g., by document number or by account number). 
  7. Click “Execute” to start the comparison process. 
  8. Review the differences between the two periods and make corrections if necessary. 
  9. Click “Save” to save your changes and generate a detailed report of the differences between the two periods for further analysis. 
  
  Other Recommendations: 
  It is recommended that users familiarize themselves with FINCS_RECON_PL30 before using it, as it can be a complex process depending on the size of your company and number of transactions being compared. Additionally, it is important to ensure that all data is accurate before running this transaction code, as any discrepancies could lead to incorrect results and inaccurate reports.