Financial Analysis Modeling and Forecasting
- Analyse historical performance using common-size statements, ratio trends and DuPont decomposition.
- Identify the key value drivers of a business and translate them into forecasting assumptions.
- Apply trend, moving-average and regression techniques to forecast revenue and costs.
- Build an integrated forecast of the income statement, balance sheet and cash flow.
- Run base, upside and downside scenarios and quantify their impact on liquidity and covenants.
- Measure forecast accuracy and explain variances against previous forecasts.
- Analysing Historical Performance
- Common-size and trend analysis
- Profitability, liquidity, efficiency and leverage ratios
- DuPont analysis of return on equity
- Quality of Earnings and Cash Flow
- Adjusting for one-off and non-cash items
- Cash conversion and free cash flow analysis
- Red flags in reported results
- Forecasting Techniques
- Trend, moving average and seasonality
- Regression and correlation with business drivers
- Judgmental and driver-based forecasting
- Building an Integrated Forecast
- Revenue and cost drivers
- Working capital and capex schedules
- Debt, interest and balancing the balance sheet
- Scenarios and Sensitivities
- Scenario design and assumptions
- Sensitivity tables and tornado charts
- Covenant and liquidity headroom testing
- Using and Communicating Forecasts
- Forecast accuracy metrics
- Rolling forecasts and re-forecasting
- Presenting forecast ranges to management
Get the Brochure
To receive a brochure with the full course content, please complete the following form with your correct details

Program Professional Framework
Financial Analysis Modeling and Forecasting
Program Overview
Forecasts are only as good as the analysis behind them. «Financial Analysis Modeling and Forecasting» connects the two: participants first diagnose historical performance using common-size statements, ratio analysis and DuPont decomposition, then translate their findings into driver-based forecasts of revenue, costs, working capital and capex. The programme covers statistical and trend techniques, integrated three-statement forecasts, scenario and sensitivity analysis and the communication of forecast ranges to decision makers, using data from GCC listed companies and corporate budgets.
Learning Outcomes
- ✓Analyse historical performance using common-size statements, ratio trends and DuPont decomposition.
- ✓Identify the key value drivers of a business and translate them into forecasting assumptions.
- ✓Apply trend, moving-average and regression techniques to forecast revenue and costs.
- ✓Build an integrated forecast of the income statement, balance sheet and cash flow.
- ✓Run base, upside and downside scenarios and quantify their impact on liquidity and covenants.
- ✓Measure forecast accuracy and explain variances against previous forecasts.
Target Audience
- Financial analysts and FP&A specialists
- Corporate finance and investment analysts
- Credit analysts in banks and financial institutions
- Budget and planning managers
Detailed Program Modules
01Analysing Historical Performance
- Common-size and trend analysis
- Profitability, liquidity, efficiency and leverage ratios
- DuPont analysis of return on equity
02Quality of Earnings and Cash Flow
- Adjusting for one-off and non-cash items
- Cash conversion and free cash flow analysis
- Red flags in reported results
03Forecasting Techniques
- Trend, moving average and seasonality
- Regression and correlation with business drivers
- Judgmental and driver-based forecasting
04Building an Integrated Forecast
- Revenue and cost drivers
- Working capital and capex schedules
- Debt, interest and balancing the balance sheet
05Scenarios and Sensitivities
- Scenario design and assumptions
- Sensitivity tables and tornado charts
- Covenant and liquidity headroom testing
06Using and Communicating Forecasts
- Forecast accuracy metrics
- Rolling forecasts and re-forecasting
- Presenting forecast ranges to management
Training Methodology
Applied Project & Assessment
Applied Project
Participants analyse five years of financial statements of a GCC listed company, identify its key drivers and build a three-year integrated forecast with base, upside and downside scenarios, closing with a management briefing on risks to liquidity.
Assessment
Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.


