
Join this FP&A budgeting and financial reporting course to master end-to-end FP&A with a practical tool, covering budgeting, forecasting, variance analysis, and the three financial statements.
Discover how FBNA plans and analyzes financial performance and applies budgeting basics like fixed and flexible budgets, rolling forecasts, driver-based budgeting, incremental budgeting, and zero-based budgeting.
Explore common FP&A abbreviations used in budgeting and financial reporting, including P&L, BS, CF, ERP, SG&A, COGS, RF, ZBB, YATD, and YTJ.
Explore how the FP&A tool uses budgeting logic and formulas for sales, COGS, production costs, SG&A, fixed costs, and standard cost rates to drive the P&L and balance sheet.
Learn how actual P&L reporting flows from general ledger to three final statements, via a production cycle, with work in progress, finished goods, standard cost rates, and COGS, sales, SG&A.
Explore variance analysis across sales and cost categories, including sales variance, material, labor, and variable overhead variances, plus fixed overhead and SG&A, with practical formulas and drivers.
Explore key assumptions for the budgeting and financial reporting tool, linking the P&L with the balance sheet and cash flow statements through quarterly granularity and annual variance analysis.
Explore the three financial statements by examining the general ledger, mapping transactions for financial year 25, and understanding how mapping bridges the general ledger to the three financial statements.
Explore the general ledger layout, including posting dates, quarterly headers, production and sales details, and the debit and credit mappings to P&L, balance sheet, and cash flow.
An overview of general ledger entries for the business setup phase, including capital injection, a loan, asset purchases (production site and ERP software), and cash flow mappings.
Explain how Product A converts direct material, labor, and overhead into work in progress, transfers it to finished goods using standard costs, and records cost of goods sold and revenue.
Explore product B’s production and sales flows—from material usage to finished goods and sales revenue—within the general ledger, and learn fixed cost allocation between A and B using volume drivers.
Analyze quarter 4 costs such as advertising, salaries, utilities, and interest, mapping them to profit and loss, balance sheet, and cash flow, including vendor and payroll payments and receivables collections.
Explain how revenue and cost of goods sold create gross margin and net profit, and how the P&L links to the general ledger across quarterly periods.
Explore the balance sheet structure, including assets, equity, liabilities, and their links to the general ledger, with quarterly details on current and non-current components.
Explain how revenue recognition flows from the P&L to balance sheet items such as short-term receivables, payables, and accumulated earnings, with COGS linking WIP to finished goods.
Explain the three cash flow categories—operating, investing, and financing—and show how inflows, outflows, opening and closing balances, and quarterly totals link to the general ledger and balance sheet.
Review the checks for the balance sheet, income statement, and cash flow, ensuring accounting equation balance, correct P&L to retained earnings, and cash flow consistency.
Budget the next fiscal year by building the P&L, balance sheet, and cash flow, focusing on sales, COGS, SG&A, and calculating production cost from production volume and standard cost rate.
Build year 26 sales budgets by pulling year 25 reference data, calculating revenue for products A and B, and applying 20% volume and 10% price increases.
Budget production volume by linking sales with beginning and ending inventories for products A and B to estimate cost of goods sold and total production cost using year 25 data.
Calculate the actual cost rate for products A and B using year 25 data, including direct material, direct labor, variable and fixed overhead, then budget year 26 standard cost rate.
Apply driver-based budgeting to set standard cost rates for products A and B, using hybrid and zero-based methods for fixed costs to forecast 2026 production and cogs.
Build a reference data database for cost of goods sold and production cost budgeting, linking to the general ledger and preparing usage data for materials, labor, and machine hours.
Build budgeting for cost of goods sold and production costs using sales and production volumes with driver-based budgeting and standard cost rates, including headers, notes, and breakdowns.
Develop a SG&A budgeting workflow by building a reference data set linked to the P&L, then determine advertising, finance costs, and profit tax as percentages for 2025.
Apply zero-based and incremental budgeting to SG&A for FY26, building formulas, percent changes, and linked breakdowns to project advertising, interest, tax, and depreciation in a budgeted P&L.
Builds the 2026 profit and loss by aggregating revenue, cost of goods sold, SG&A including SM, and tax with simple sum formulas across budgeted and actual data.
Link P&L items to balance sheet to show how revenue, COGS, and expenses affect assets, liabilities, and equity; verify accounting equation with checks and end of year refinements.
Build and link cash flow financial statements to the balance sheet, model operating, financing, and investing activities, and reconcile opening and closing balances across periods.
Perform technical budget checks across year 26, linking balance sheet assets, equity, liabilities, and P&L lines to verify the accounting equation and cash flow reconciliation.
Map the general ledger to the profit and loss, balance sheet, and cash flow statements for year 26, and build breakdown for sales, production volume, standard cost rate, and cox.
Analyze the general ledger for financial year 26, covering production cycles for product A and B, work in progress transfers, standard vs actual costs, deviations, and cash flow mapping.
Interpret the 2006 profit and loss statement, detailing quarter three production and sales by product A and B, with cost of goods sold, deviation postings, and quarter four expenses.
Examine the 2006 balance sheet across quarters, detailing inventory, work in progress, depreciation, and payables, and track transfers to finished goods and cost of goods sold affecting cash flow.
Summarize the 2026 cash flow: quarter 4 inflows from clients, operating outflows to vendors and employees, loan interest payments, opening 214.6k and closing 418.4k, with no investing or financing activity.
Review the alignment of assets, equity, and liabilities with the accounting equation and verify cash flow totals match the balance sheet and net cash change for financial year 2016.
Build FY26 actual sales breakdown by volume and price, pull production volume and cost of goods sold data from the general ledger, and validate against the P&L for balance analysis.
Build fy26 production volume data by applying budgeted formulas and linking sales volume; derive ending inventory from the general ledger and compare quarter 3 to sales for A and B.
Builds fy26 actual cost rate data for product A and product B by calculating material, labor, and overhead per unit from the general ledger and validating against standard cost rates.
Build FY26 actual data for cost of goods sold and production by linking to the general ledger and constructing sum formulas for a detailed, auditable breakdown.
Build variance data for P&L, balance sheet, and cash flow; analyze sales and production-cost variances, including direct material, direct labor, and overhead, comparing 2026 budgeted vs actual data.
Build P&L variance data by comparing budgeted and actual figures, applying formulas to revenue and COGS, and focusing on production and sales variance analysis.
Build variance data for the balance sheet and finance statement, and explain the key drivers of variance between actual and budget, including cash, revenue, and inventory variances.
Build cash flow variance data by comparing actual to budgeted figures and applying variance formulas. Explain variances in inflows from clients and outflows to employees.
Analyze sales variance in the P&L by product, comparing budgeted and actual data for 2026, and decompose totals into volume variance and price variance with checks.
Analyze the total balance per product by separating volume and price drivers. Show how higher actual volume yields a positive variance, while lower actual price yields a negative one.
Perform variance analysis on production cost by building headers and data links for budgeted and actual costs, volumes, rates, and usage across direct material, direct labor, variable and fixed overhead.
Analyze cost data and variance by comparing budgeted and actual standard cost rates, usage, and price rates for products A and B, with cross-checks against the standard cost rate tab.
Build variance data for FP&A budgeting by calculating total, volume, and cost variances from budgeted versus actual costs, and define controllable variance for variable and fixed costs.
Break down the controllable variance into efficiency and expenditure variance for variable cost categories, including direct material, direct labor, and overhead, and note fixed overhead variance is not broken down.
Breaks down efficiency balance into usage efficiency and volume efficiency, using formulas for budgeted vs actual usage and volumes, with a check that confirms efficiency equals the sum of two.
Learn to produce business commenting that explains total and controllable variances using three drivers—usage efficiency, volume efficiency, and expenditure variance—with product A and B examples covering labor and variable overhead.
Analyze business commenting for fixed manufacturing overhead variance without volume data, detailing drivers: indirect labor, rent, repair maintenance, cleaning, and depreciation, and the impact of budgeted versus actual costs.
Explore the FP&A tool navigation, including input and output tabs, production budgeting, cost of goods sold, SG&A, and variance analysis, linking the general ledger to financial statements.
In today’s world, where AI is increasingly taking over technical and repetitive tasks, the ability to understand the bigger financial picture and the full FP&A process flow is becoming more important than ever.
This course is designed to help you see that bigger picture by providing a practical, end-to-end understanding of Financial Planning & Analysis (FP&A) — from operational inputs to financial outputs and business decision support.
You will explore how FP&A works across different industries and how these concepts can be adapted to your own role. The course combines best-practice approaches (including ACCA-based concepts) with real business applications, ensuring both strong theoretical foundation and practical relevance. A key focus of the course is understanding how different finance functions are connected. You will see how operational activities translate into financial results, how accounting and reporting interact, and how General Ledger transactions are reflected in live financial statements.
The course is built around a real-life FP&A Excel Tool, designed based on practices used in international companies. This Tool covers the full FP&A cycle and allows you to follow, step by step, how data flows from planning to reporting and analysis. We will work with progressive versions of the Tool through each session, and by the end of the course, you will have access to the complete, ready-to-use FP&A Tool.
Beyond technical skills, this course focuses on developing a business partner mindset. In real working environments, finance professionals are often required to go beyond standard reports — to explain numbers, respond to ad-hoc questions, and provide meaningful insights to stakeholders such as controllers, auditors, or CFOs.
By the end of this course, you will:
Understand the full FP&A workflow across finance functions
Connect budgeting, reporting, and analysis processes
Interpret financial results and explain performance clearly
Apply FP&A concepts in real business scenarios
Ultimately, you will not only understand FP&A from a technical perspective, but also gain the ability to apply it in practice, bridging the gap between data, finance, and decision-making.