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AP Suppliers Revenue Summary 11i – Oracle EBS SQL Report

Oracle E-Business Suite SQL report from the Enginatics Library powered by Blitz Report™.

Overview

AP suppliers (po vendors) revenue summary across different operating units

Report Parameters

Ledger, Operating Unit, Supplier, Supplier Number, Country, As of Date, Summary Level

Oracle EBS Tables Used

gl_periods, gl_sets_of_books, ap_bank_account_uses_all, ap_bank_accounts_all, po_vendors, po_vendor_sites_all, fnd_territories_vl, ap_terms_tl, ap_invoices_all, hr_operating_units, x

Report Categories

Enginatics

AP Supplier Upload, AP Invoices and Lines 11i, AP Suppliers Revenue Summary, AP Invoice Upload, AP Invoices and Lines, GL Account Distribution Analysis

Running This SQL Without Blitz Report

Some Oracle EBS SQL reports in this library require functions from the utility package xxen_util. Install it before running the SQL directly against your Oracle EBS database.

Download & Import Options

Resource Link
Excel Example Output None
Blitz Report™ XML Import AP_Suppliers_Revenue_Summary_11i.xml
Full SQL on Enginatics www.enginatics.com/reports/ap-suppliers-revenue-summary-11i/

Case Study & Technical Analysis: AP Suppliers Revenue Summary

1. Executive Summary

Business Problem

Procurement and Finance teams often struggle to get a consolidated view of supplier spend across the organization. Standard Oracle reports focus on transactional details (Invoice Register) or open balances (Aging), but lack the analytical view needed for strategic decision-making. Key challenges include:

Solution Overview

The AP Suppliers Revenue Summary is a high-level analytical report designed for Strategic Sourcing and Spend Analysis. It aggregates AP invoice data to provide a multi-year view of supplier revenue. By summarizing spend into fiscal year and rolling year buckets (e.g., Current FY, Last 3 Years), it allows users to instantly identify their top suppliers and analyze spending trends.

Key Benefits

2. Technical Analysis

Core Tables and Views

The report combines master data with transactional aggregates:

SQL Logic and Data Flow

The query uses advanced analytical functions to pivot time-based data into columns without complex subqueries.

Integration Points

3. Functional Capabilities

Reporting Dimensions

Key Parameters

4. Implementation Considerations

Performance

Best Practices


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