Financial Analysis Using Excel Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Financial Analysts, Finance Managers and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 7 Nov 2026 Course code SD-FM-053

Before you join: Participants should understand the basic purpose of the income statement, balance sheet and cash flow statement, and be comfortable with everyday Excel tasks such as entering formulas, formatting cells, sorting data and using simple functions.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Finance teams are expected to turn accounting records, budgets and operational data into decisions on performance, cash, funding and investment. That requires more than calculating ratios. Analysts must build workbooks that trace back to source data, identify the drivers behind changes, distinguish accounting effects from operational causes, and present findings that senior managers can act on. Weak spreadsheet structure, inconsistent assumptions and poorly tested formulas can produce misleading conclusions even when the underlying data is sound.

This course develops the Excel-based methods used to analyse financial statements, assess profitability and liquidity, forecast integrated financial statements, investigate budget variances and value investment opportunities. Participants work with income statements, balance sheets, cash flow statements, management accounts and transaction-level data. They apply ratio analysis, DuPont analysis, common-size statements, rolling cash forecasts, flexible budgets, discounted cash flow models, sensitivity analysis and management dashboards. The course also addresses formula auditing, data validation, Power Query imports, PivotTables and presentation standards for management reporting.

Teaching combines short instructor briefings with worked financial cases, individual spreadsheet tasks, group review of analytical findings and scenario-based decision work. Cases reflect situations such as a manufacturing business facing margin pressure, a bank assessing borrower performance, an NGO managing restricted funding, and a corporate finance team evaluating capital expenditure. Participants leave with a set of reusable Excel templates and analytical checklists, including a three-statement forecast model, ratio analysis pack, cash forecast and valuation model.

The course suits finance professionals who already use Excel and need stronger methods for interpreting financial information, producing reliable forecasts and communicating financial conclusions to non-finance decision-makers.

What you will be able to do

  • Build auditable Excel models using structured references, validation rules and formula checks
  • Interpret financial statements through common-size, trend and ratio analysis
  • Calculate profitability, liquidity, solvency and return measures using defined formulas
  • Construct integrated three-statement forecasts from operational and financing assumptions
  • Prepare rolling cash forecasts and assess liquidity under alternative scenarios
  • Investigate budget variances using flexible budgets, waterfall analysis and root-cause methods
  • Estimate business and project value using discounted cash flow and comparable multiples
  • Present management insights through decision-focused dashboards, charts and recommendations

Benefits of attending

For you

  • Produce financial analysis that traces clearly from source data to conclusions
  • Identify the operational drivers behind margin, cash and return movements
  • Build forecasts that link profit, working capital, financing and cash
  • Challenge budgets and investment proposals using sensitivity and scenario analysis
  • Present financial findings with clearer evidence and decision recommendations

For your organisation

  • More consistent financial analysis across budgets, forecasts and management reporting
  • Earlier identification of liquidity pressures, covenant risks and working-capital issues
  • Better scrutiny of performance variances before management review meetings
  • More reliable investment appraisals through tested valuation assumptions and sensitivities
  • Reduced spreadsheet error risk through stronger model structure and audit checks

Course modules

10 modules over 5 days

Participants can structure Excel workbooks that are readable, controlled and easy to review.

  • Workbook architecture for auditable financial analysis models and reporting outputs
  • Excel Tables, named ranges and structured references for controlled inputs
  • Cell styles, number formats and sign conventions supporting financial readability
  • Formula auditing with trace precedents, dependents and error-checking commands
  • IFRS statement headings mapped into a consistent analytical data structure
  • Source-data checks for periods, units, currencies and accounting classifications
  • Documenting assumptions, version dates and reviewer comments within workbooks

Participants can interpret the relationships between income statements, balance sheets and cash flow statements.

  • Income statement drivers separated into volume, price, mix and costs
  • Balance sheet movements reconciled through working capital and financing changes
  • Cash flow statement links tested between profit, noncash items and cash
  • Common-size statements prepared using revenue, assets and total capital bases
  • Horizontal analysis calculated with absolute changes, percentages and index numbers
  • Accounting-policy notes assessed for comparability and analytical adjustments
  • Three-statement links interpreted before building forecasts or valuation models

Participants can calculate and interpret ratios that explain financial performance and risk.

  • Liquidity ratios calculated using current, quick and operating cash measures
  • Working-capital days calculated for receivables, inventory and payables
  • Profitability margins separated into gross, operating, EBITDA and net measures
  • Return measures reconciled through ROA, ROE and invested-capital definitions
  • DuPont analysis decomposes return on equity into operational drivers
  • Solvency ratios evaluate debt service, interest cover and financial risk
  • Ratio trends benchmarked against peers, budgets and prior reporting periods

Participants can prepare and summarise financial data efficiently for analysis and reporting.

  • Importing source files with Power Query steps and refreshable connections
  • Cleaning transaction data using trim, split, replace and data-type commands
  • XLOOKUP, INDEX-MATCH and SUMIFS reconcile reporting datasets efficiently
  • Dynamic arrays filter, sort and extract exception populations
  • PivotTables summarise actuals by entity, account, customer and period
  • PivotCharts compare trends, variances and segment performance visually
  • Data validation lists restrict assumption inputs and reporting classifications

Participants can construct linked forecasts for profit, financial position and cash flow.

  • Revenue forecasts constructed from volume, price, churn and pipeline assumptions
  • Cost forecasts classified between fixed, variable, step and discretionary components
  • Working capital schedules forecast receivables, inventory and payables timing
  • Debt schedules model drawdowns, amortisation, interest and covenant headroom
  • Integrated three-statement forecasts maintain balance sheet and cash flow links
  • Forecast periods controlled through timeline drivers and circularity settings
  • Assumption registers distinguish management cases from calculated outputs

Participants can investigate financial variances and convert findings into management actions.

  • Budget-versus-actual variances separated into price, volume, mix and timing
  • Flexible budgets restate expected costs at actual activity levels
  • Waterfall charts explain bridge movements from plan to actual results
  • Materiality thresholds focus investigation on decision-relevant deviations
  • Root-cause analysis distinguishes operational drivers from accounting reclassifications
  • Rolling forecasts update outlooks using latest actuals and revised assumptions
  • Management commentary connects variance evidence to recommended actions

Participants can prepare cash forecasts and assess short-term funding requirements.

  • Direct cash forecasts schedule customer receipts, payroll and supplier payments
  • Indirect cash flow forecasts convert profit into operating cash movements
  • 13-week rolling cash forecasts incorporate weekly opening and closing balances
  • Cash conversion cycle analysis identifies liquidity tied within operations
  • Scenario cash models test delayed collections, demand shocks and funding gaps
  • Minimum cash thresholds linked to facility availability and covenant requirements
  • Treasury actions prioritised using timing, certainty and controllability assessments

Participants can assess business value and investment cases using recognised financial methods.

  • Free cash flow calculated from operating profit, tax, capital expenditure and working capital
  • Discounted cash flow models structure forecast periods and terminal value
  • WACC inputs distinguish cost of debt, equity risk and capital weights
  • Terminal value estimated using perpetuity-growth and exit-multiple methods
  • Comparable-company multiples normalised for accounting differences and capital structure
  • Sensitivity tables test valuation exposure to growth, margin and discount rates
  • Enterprise value reconciled to equity value through net debt adjustments

Participants can present financial findings in reports that support timely management decisions.

  • Management dashboards define decision questions, measures, targets and thresholds
  • Chart selection matches time trends, rankings, composition and variance stories
  • Actual, budget and forecast views presented with consistent period labels
  • Conditional formatting highlights exceptions without obscuring underlying numerical evidence
  • Executive packs separate findings, implications, actions and unresolved questions
  • Data labels, axes and titles checked for interpretation errors
  • Reporting outputs tested against source totals and approved assumptions

Participants can test financial uncertainty and frame evidence-based recommendations for decision-makers.

  • Scenario Manager structures base, upside and downside planning cases
  • One-variable and two-variable data tables quantify key assumption effects
  • Break-even analysis calculates volume thresholds under contribution-margin assumptions
  • Debt covenant headroom assessed under downside liquidity and earnings scenarios
  • Investment proposals compare NPV, IRR, payback and profitability index
  • Recommendations framed with evidence, uncertainty ranges and decision triggers
  • Personal application plans assign model improvements, owners and review dates

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Auditable financial analysis workbook template
  2. Financial statement ratio analysis pack
  3. Integrated three-statement forecast model
  4. 13-week rolling cash forecast template
  5. Discounted cash flow valuation model
  6. Financial reporting quality checklist

Who should attend

  • Financial Analysts — need reliable methods for interpreting results and producing forecast models
  • Finance Managers — need stronger analysis for performance reviews, planning and executive reporting
  • Management Accountants — need to explain variances, margins and operational drivers
  • Treasury Analysts — need cash forecasts, liquidity analysis and debt-service assessments
  • Investment Analysts — need Excel methods for valuation, scenario testing and investment cases
  • Budget Holders — need to interpret financial reports and challenge assumptions confidently

Skills and tools covered

Financial statement analysisExcel model buildingCash flow forecastingVariance investigationBusiness valuationManagement reporting

Tools and standards

Microsoft Excel, Power Query, IFRS, DuPont analysis

How the course runs

Training methodology

The course uses short instructor briefings followed by worked spreadsheet examples, financial case work, group analysis and individual model-building tasks. Participants analyse financial statements, clean reporting data, construct forecasts, investigate variances and assess valuation scenarios in Excel. Trainers use realistic management decisions to test interpretation, not only calculation accuracy. Peer review is used to examine assumptions, presentation choices and formula logic. Each participant finishes with an application plan for improving a current reporting, forecasting or investment-analysis task.

Requirements and prerequisites

Participants should understand the basic purpose of the income statement, balance sheet and cash flow statement, and be comfortable with everyday Excel tasks such as entering formulas, formatting cells, sorting data and using simple functions. Experience preparing budgets, management accounts, forecasts or financial reports is helpful. Participants should bring a laptop with a current desktop version of Microsoft Excel if attending classroom delivery. Prior experience with Power Query, PivotTables, VBA, business valuation or advanced financial modelling is not required.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

You should be comfortable entering formulas, formatting worksheets, sorting data and using basic functions. The course teaches the financial analysis methods and introduces the Excel features needed for them; prior Power Query, PivotTable or valuation experience is not required.

Bring a laptop with a current desktop version of Microsoft Excel, ideally Microsoft 365 or Excel 2021 onwards. Course files are provided, and participants may also bring a non-confidential reporting or forecasting challenge for their application plan.

It is designed for analysts, management accountants, finance managers, treasury staff, investment analysts and budget holders who work with financial reports or forecasts. It is most useful for people moving beyond basic spreadsheet reporting into structured financial interpretation.

Advanced Excel courses focus mainly on spreadsheet functionality, while financial modelling courses often concentrate on model construction and valuation. This course combines Excel methods with financial statement interpretation, performance analysis, cash forecasting, variance investigation and management reporting.

Participants can use the templates and checklists to improve monthly management packs, budget reviews, cash forecasts and investment proposals. The final application plan identifies a specific workbook, report or forecasting process to improve after the course.

The five days provide about 32.5 contact hours, delivered from 08:30 to 16:30 each day with scheduled breaks. Time is divided between instructor explanation, Excel-based case work, analysis discussions, model reviews and application planning.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.