Group Reporting - Release 2602 is generally available
![]()
With each quarterly release, Group Reporting continues to expand its capabilities to help you automate, streamline, and modernize your consolidation processes. After introducing the new consolidation rule engine in release 2508, we are further enhancing this framework in release 2602, bringing additional flexibility, broader automation coverage, and improved transparency for your group-level postings - including key scenarios such as the consolidation of investments.
Release 2602 also delivers a wide set of innovations across the financial consolidation process: extended rule engine functions, IFRS 18‑ready content, deeper integration with SAP Business Data Cloud and SAP Datasphere, improvements in Group Reporting Data Collection, strengthened controls for manual postings, and new analytics integration features.
In the sections below, you’ll find an overview of the main enhancements delivered with 2602 and how they can support you in optimizing your financial close and reporting processes.
-
New Consolidation Rule Engine
Since August 2025 (release 2508) you benefit from a new rule engine to automate your consolidation postings. This engine is inspired by SAP Financial Consolidation and aims to offer the same level of power and flexibility valued by its users. With release 2602, we continue to enhance the consolidation engine, giving you more flexibility, more automation possibilities, and clearer insight in your group-level postings - including the consolidation of investments.
Below is an overview of the new capabilities.
Flexible rules to automate consolidation postings
![]()
The enhanced rule engine now supports a broader range of consolidation scenarios, allowing you to define precise and reusable rules for group-level postings.
These rules can be used to automate:
- Purchase, equity method
- First consolidation
- Subsequent consolidation
- Changes in equity and changes in investments
- Method changes
- Divestiture
You can also apply them to other group postings, such as reclassifications or KPI calculations.
More information:
Variables, functions and operators to automate complex eliminations
![]()
You can now design more sophisticated logic using variables, functions, and operators. This enables complex calculations based on multiple data sources.
Examples include:
- Non-controlling interests
- Direct ownership % (owned shares / issued shares)
- Earning per share
- Profit in inventory elimination using margin rates
Sample formulas:
- SOURCE (Source amounts) / ISSSHA (Nb of issued shares) => Earning per shares
- 100 * SOURCE_QTY (Source quantity) / ISSSHA_P (Nb of issued shares - partner unit) => Direct ownership %
Enhanced logs for investee unit analysis
![]()
The new log capabilities make auditing faster and clearer.
You now benefit from:
- A dedicated Investee Unit tab
- Grouped log items by investee unit
- Display of variable values in the log
- Quick navigation to group structure assignment details
This provides full transparency into how rules are applied across investor-investee relationships.
Define your own consolidation methods
You can now create your own consolidation methods using Self Service Configuration.
Once created:
- Assign the method to consolidation units in "Manage Group Structure"
- Use the method in "Group Structure Filters"
- Build rules specific to your new method in "Manage Rules for Automatic Postings"
Pre-delivered content
Release 2602 delivers new rule groups and rules to help you accelerate your setup, including:
- Net income calculation (released and reported data)
- Intercompany eliminations
- Sales
- Operating income & expenses
- Financial income & expenses
- Profit in inventory
- Dividends
- Assets & liabilities
OData API to read consolidation selections
A new OData v4 API allows you to read consolidation selections - reusable sets of master data filtered by items, units, attributes, or hierarchy nodes.
This enables integration and reporting scenarios that depend on consolidation selections across:
- Validation rules
- Reclassification methods
- Currency translation methods
- Breakdown categories
More information
More information on the consolidation rule engine capabilities:
-
IFRS 18 Presentation and Disclosure in Financial Statements
IFRS 18 was published on April 9, 2024 and will replace IAS1 Presentation of Financial Statements. IFRS 18 aims to enhance the comparability of financial statements across companies. It's effective for annual reporting periods beginning on or after January 1, 2027. Year 2026 must be presented as comparative figures.
Key changes:
- Structure of the income statement
- Management-defined performance measures
- Aggregation and disaggregation
- Cash flow statement
Unchanged requirements in IAS 1 have been transferred to IFRS 18 and other standards.
Pre-delivered content for IFRS 18
To help you comply with this new standard, we deliver pre-defined content for IFRS 18. New cloud customers will receive these compliant configurations by default. Existing cloud customers won't receive these updates automatically by default, to safeguard your unique system customizations from being overwritten.
![]()
Above is an example of the pre-delivered content, with the update structure of the consolidated Profit or Loss Statement, where IFRS 18 requires:
- Blue: present two new defined subtotals - operating profit and profit before financing and income taxes
- Green: classify income and expenses into operating, investing and financing categories in the statement of profit or loss - plus income taxes and discontinued operations
More information: IFRS 18 and Group Reporting: What It Means and How to Get Ahead and SAP Note 3694359 - How to Adopt IFRS 18 for Financial Reporting in S/4HANA Cloud Public Edition.
-
Integration with SAP Business Data Cloud
Group Reporting data products
Data products in SAP Business Data Cloud provide a standardized, high‑quality way to share and consume data across applications and domains, enabling efficient, replication‑free integration. They're optimized for analytics and AI through curated, read‑optimized storage, rich business metadata, and exposure via APIs, events, or delta sharing. Designed with a data‑mesh mindset, they support decentralized ownership and a full lifecycle approach to ensure relevance and reliability.
As of release 2602, the following content is available for Group Reporting in the Business Data Cloud:
- Data products for Group Reporting master data and raw transactional data
- Extraction of Group Reporting master data (values, descriptions, attributes, hierarchies)
- Extraction of Group Reporting raw transactional data
For a complete view of the delivered Group Reporting data products, please check the SAP Business Accelerator Hub.
Integration with SAP Datasphere
By integrating SAP Datasphere as the centralized business data fabric with Group Reporting, you can effectively eliminate upstream data bottlenecks. Datasphere’s powerful modeling capabilities allow for intelligent, unified data mapping, ensuring the perfect alignment of all source data, including SAP and non-SAP inputs, to the Group Reporting Data Model. The result is an accelerated data readiness, a superior auditability, and an accelerated close cycle.
![]()
The integration of Group Reporting Data Collection (GRDC) with SAP Datasphere includes:
- Support Datasphere as a source type
- Use Datasphere destinations created in SAP BTP Cockpit as source instances in data mapping definitions
- Use Datasphere Spaces (workspaces that hold data models and views) and Assets (specific datasets or objects inside a space)
- Provide templates to easily create Datasphere data mapping file
- Run data mapping jobs to connect to Datasphere, extract, transform and load data into the target consolidation table (ACDOCU)
For more information, check out the article Accelerating Financial Close: Integrating SAP Datasphere with SAP Group Reporting and Create a Data Mapping Definition with SAP Datasphere as Source
-
Balance Validation in Manual Posting
You can run balance validation checks on a draft document that was created by a manual posting in the Post Group Journal Entries or in the Import Group Journal Entries app.
To do so, you activate the balance validation for the required manual posting tasks in the configuration and assign the balance validation rules to these tasks. If the validation isn't successful, the system blocks the posting. A corresponding error message is displayed, and you can navigate to the balance validation log to view more details.
![]()
The system starts the balance validation when you choose Create or Check in the Post Group Journal Entries or in the Import Group Journal Entries app:
- The task is derived from the document type
- If a group journal has extension versions, the system only validates the main version
- If a group journal has multiple consolidation groups (posting level 30), the system only validates the primary consolidation group
- Depending on the result of the validation, a success or error message is displayed, and you can navigate to the balance validation log to view further detail
- If an error is detected, the posting of the group journal is not possible
More information: Balance Validation for Manual Posting
-
Data Collection
You can benefit from a series of improvements and new features in Group Reporting Data Collection (GRDC): importing data directly from the package, and benefit from an enhanced traceability log in the Data Mapping app. In addition you can now import SAP Analytics Cloud data more easily.
Pull Data from SAP Analytics Cloud
With release 2602, you can now import SAP Analytics Cloud data more easily (for example plan data):
- New tasks for pull data from SAP Analytics Cloud
- Proceed these pull tasks from Group Reporting's Data Monitor
- New app for SAP Analytics Cloud model and field association
- Ability to schedule the task with a new job template in the app for scheduling jobs for consolidation tasks
![]()
More information: Importing Planning Data from SAP Analytics Cloud in Group Reporting
Import data directly from your manual entry package
You can now perform data import directly from within the GRDC package: data mapping jobs are integrated in the package.
![]()
More information: Run a Job from Within a Package
Improvements to the traceability log
In Data Mapping, from the Run page you can now choose to only download the rejected items in the traceability log.
![]()
More information: Traceability Logs
Pull Data from SAP Analytics Cloud
With release 2602, you can now import SAP Analytics Cloud data more easily (for example plan data):
- New tasks for pull data from SAP Analytics Cloud
- Proceed these pull tasks from Group Reporting's Data Monitor
- New app for SAP Analytics Cloud model and field association
- Ability to schedule the task with a new job template in the app for scheduling jobs for consolidation tasks
![]()
More information: Importing Planning Data from SAP Analytics Cloud in Group Reporting
-
Analytics - Navigate in Group View on Accounting
Navigate in Group View on Accounting
You can now navigate to group financial statements from Group Reporting based columns.
![]()
More information: Group View on Accounting
-
Other innovations
Collect
- Balance validation: overwrite rule control level by a new option in the self-service configuration user interface
- Authorization restriction by activity in the data monitor
- Schedule custom tasks in the data monitor
- GRDC data mapping - group journal entries import API
- GRDC data mapping - source and target attributes in mapping files
- GRDC data mapping - keywords in source filters and scheduled job
Analytics
- Time-dependent nodes and leaves in hierarchies
-
More information
- Group Reporting 2602 feature deck
- Group Reporting 2602 help portal
- Recap of Group Reporting new features
- Group reporting community
- Group reporting customer influence platform