Financial Analysis Training Course

Duration 10 days 18 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Financial Analysts, Finance Managers and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-FM-114

Before you join: Participants should understand the main financial statements, basic accounting entries, percentage calculations and common ratios such as gross margin and current ratio.

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

Financial analysis is required when reported results, forecasts and investment proposals must be turned into decisions about performance, funding, value and risk. Analysts must distinguish operating improvement from accounting effects, identify weak cash conversion, test management assumptions and explain what the numbers mean for lenders, investors, executives and boards. This requires more than calculating ratios: it requires disciplined interpretation of statements, business drivers and valuation evidence.

This course develops the methods used in advanced financial analysis. Participants examine annual reports under IFRS and US GAAP, assess earnings quality, analyse working capital and cash flow, construct integrated forecasts, test capital investment proposals and value businesses using discounted cash flow and market multiples. They also assess credit quality, capital structure, covenant capacity, accounting red flags and the sensitivity of conclusions to changing assumptions. Financial results are connected to operational drivers such as price, volume, capacity, payroll, procurement and customer terms.

Teaching combines concise technical briefings with financial statement cases, model-building work, group reviews, scenario simulations and structured application planning. Participants work with realistic corporate reporting, financing and investment decisions rather than isolated calculations. They leave with a completed financial analysis pack containing a forecast model, valuation, credit assessment, risk analysis and executive recommendation that can be adapted for their own organisation.

The course suits finance professionals who already work with financial statements and need stronger analytical judgement for planning, performance management, lending, investment, corporate finance or senior management reporting.

What you will be able to do

  • Interpret IFRS and US GAAP financial statements using structured analytical questions
  • Assess earnings quality through revenue, expense, accrual and cash flow analysis
  • Calculate and interpret profitability, liquidity, efficiency and solvency ratios
  • Build integrated three-statement forecast models from operational business drivers
  • Prepare discounted cash flow valuations using WACC, terminal value and sensitivity analysis
  • Evaluate credit quality, debt capacity and covenant headroom from financial evidence
  • Test investment proposals using NPV, IRR, payback and scenario analysis
  • Present a complete financial analysis pack with evidence-based recommendations

Benefits of attending

For you

  • Produce defensible analysis from annual reports, management accounts and forecast data
  • Identify earnings quality concerns before they distort management decisions
  • Build integrated forecasts that explain cash, funding and profitability consequences
  • Assess valuations and investment cases with clearer assumptions and sensitivities
  • Present financial conclusions credibly to non-financial senior decision-makers

For your organisation

  • Improve the quality and consistency of financial performance reviews
  • Identify cash conversion, liquidity and covenant pressures earlier
  • Strengthen scrutiny of budgets, forecasts and capital expenditure proposals
  • Support better valuation evidence for acquisitions, disposals and funding decisions
  • Create clearer financial reporting for executives, lenders and governance committees

Course modules

18 modules over 10 days

Participants can frame a financial analysis assignment and assess the reliability of reported evidence.

  • Purpose, users and decision limits of financial statement analysis
  • Annual report architecture: primary statements, notes, policies and management commentary
  • IFRS and US GAAP differences affecting analytical comparability
  • Accounting estimates, judgements and policy choices changing reported performance
  • Materiality, audit opinions and reporting dates in evidence assessment
  • Analyst question log linking disclosures to business-model risks

Participants can restate reported figures into comparable analytical formats.

  • Common-size income statements separating margin movement from revenue growth
  • Vertical balance-sheet analysis identifying capital allocation and funding changes
  • Trend analysis using indexed values, growth rates and compound growth
  • Restating discontinued operations, acquisitions and disposals for comparability
  • Separating recurring operations from exceptional and non-operating items
  • Analytical adjustments for inflation, foreign exchange and fiscal-year changes

Participants can assess whether reported earnings reflect sustainable economic performance.

  • Revenue recognition policies under IFRS 15 and ASC 606
  • Cut-off testing signals from receivables, contract assets and cash collections
  • Accruals, provisions and reserves affecting earnings persistence
  • Capitalised costs, amortisation policies and expense deferral risks
  • Non-GAAP measures reconciled to statutory profit and cash flow
  • Earnings quality matrix ranking recurring, judgemental and one-off items

Participants can explain cash generation, liquidity needs and financing pressure.

  • Operating cash flow reconciled from profit, non-cash charges and working capital
  • Free cash flow calculated after capital expenditure, tax and financing needs
  • Cash conversion ratio comparing operating cash flow with operating profit
  • Direct cash flow analysis using receipts, payroll and supplier payments
  • Liquidity sources assessed through cash balances, facilities and asset sales
  • 13-week rolling cash forecast built from receipts, payroll and supplier data

Participants can diagnose working-capital drivers and quantify cash release opportunities.

  • Cash conversion cycle combining receivable, inventory and payable days
  • Receivables ageing analysed by customer concentration, disputes and collection trends
  • Inventory turnover tested against demand, obsolescence and supply commitments
  • Payables terms compared with procurement practice and supplier dependence
  • Working-capital bridge isolating price, volume, mix and timing effects
  • Cash release actions prioritised by value, feasibility and control risk

Participants can use ratio systems to explain profitability, efficiency and financial risk.

  • Return on equity decomposed through the extended DuPont framework
  • ROIC compared with WACC to assess economic value creation
  • Gross margin, EBITDA margin and operating margin analysed by driver
  • Asset turnover linked to capacity utilisation, pricing and capital intensity
  • Current ratio and quick ratio interpreted with operating context
  • Peer benchmarking adjusted for accounting policy, business mix and scale

Participants can connect financial performance to operational and commercial drivers.

  • Price-volume-mix analysis explaining revenue and gross profit variances
  • Contribution margin assessed by product, customer, channel and geography
  • Fixed and variable cost classification supporting operating leverage analysis
  • Segment disclosures reconciled to consolidated results and central costs
  • Unit economics linking customer acquisition, retention and lifetime value
  • Driver trees connecting operational metrics to financial statement outcomes

Participants can construct forecast financial statements from explicit business assumptions.

  • Revenue forecasts built from price, volume, mix and contract assumptions
  • Cost forecasts linked to headcount, capacity, inflation and procurement terms
  • Working-capital assumptions translated into receivables, inventory and payables balances
  • Depreciation schedules aligned with capital expenditure and asset lives
  • Tax forecasts incorporating taxable profit, losses and deferred tax
  • Forecast balance sheets balanced through cash, debt and equity plugs

Participants can build an auditable integrated model linking profit, cash flow and financial position.

  • Model architecture separating inputs, calculations, outputs and quality checks
  • Three-statement links connecting income statement, balance sheet and cash flow
  • Circularity management for interest expense, debt balances and cash
  • Assumption registers documenting source, owner, date and confidence level
  • Error checks for balance-sheet integrity, signs and formula consistency
  • Version control and model documentation supporting review and reuse

Participants can value a business using forecast free cash flow and discounted cash flow methods.

  • Enterprise value distinguished from equity value and net debt
  • Unlevered free cash flow derived from NOPAT, investment and working capital
  • WACC calculated using cost of equity, debt and target capital structure
  • Terminal value estimated through perpetuity growth and exit multiple methods
  • Mid-year convention applied where cash flows arise throughout periods
  • DCF sensitivity tables testing growth, margin, WACC and investment assumptions

Participants can use market evidence to triangulate a valuation conclusion.

  • Trading comparables selected using business model, growth and profitability criteria
  • EV EBITDA, EV sales and price earnings multiples interpreted carefully
  • Precedent transactions adjusted for control premiums and market timing
  • Enterprise-to-equity bridge incorporating debt, cash and non-controlling interests
  • Valuation ranges reconciled across DCF, trading and transaction methods
  • Implied multiples checked against forecast quality and strategic rationale

Participants can assess repayment capacity and identify lender concerns from financial data.

  • Credit analysis framework covering business risk, financial risk and security
  • Debt service coverage ratio calculated from cash flow and obligations
  • Net debt to EBITDA assessed against sector norms and volatility
  • Interest coverage tested under earnings decline and refinancing scenarios
  • Covenant headroom modelled for leverage, liquidity and fixed-charge tests
  • Sources and uses analysis tracing borrowing requirements and repayment plans

Participants can assess funding choices and their effects on value, risk and returns.

  • Capital structure assessed through debt capacity, flexibility and refinancing risk
  • Cost of equity estimated using the Capital Asset Pricing Model
  • Debt pricing linked to credit spread, tenor, security and covenants
  • Weighted average cost of capital aligned with valuation assumptions
  • Dividend policy evaluated against investment needs and shareholder expectations
  • Funding alternatives compared using dilution, control and cash commitments

Participants can evaluate investment proposals using cash flow, return and risk criteria.

  • Relevant cash flows separated from sunk costs and accounting allocations
  • Net present value calculated using project-specific discount rates
  • Internal rate of return interpreted alongside NPV and reinvestment assumptions
  • Payback and discounted payback used for liquidity and exposure assessment
  • Replacement, expansion and mutually exclusive projects compared systematically
  • Capital allocation scorecard combining returns, strategy, risk and capacity

Participants can test financial conclusions under uncertain operating and market conditions.

  • Base, downside and upside cases built from explicit driver changes
  • Sensitivity analysis isolates variables with greatest value and liquidity effects
  • Break-even analysis identifies minimum volume, price and margin thresholds
  • Monte Carlo simulation concepts applied to uncertain forecast assumptions
  • Foreign exchange exposure assessed through transaction, translation and economic effects
  • Interest-rate scenarios quantify debt service and valuation impacts

Participants can identify reporting risks and specify analytical control responses.

  • COSO Internal Control Framework applied to financial reporting risk
  • Related-party transactions examined for pricing, disclosure and governance concerns
  • Off-balance-sheet commitments identified through notes, guarantees and leases
  • Beneish M-Score indicators reviewed as accounting manipulation warning signals
  • Management bias tested through forecast accuracy and recurring adjustments
  • Analytical review checklist documenting evidence, exceptions and follow-up actions

Participants can communicate financial findings, uncertainties and recommended actions to decision-makers.

  • Executive summary structured around decision, evidence, risk and recommended action
  • Financial dashboards selecting meaningful KPIs, trends and variance explanations
  • Waterfall charts explain bridges between plan, prior period and actuals
  • Tornado charts communicate valuation and forecast sensitivity priorities
  • Narrative reporting distinguishes facts, assumptions, judgements and conclusions
  • Recommendation papers specify actions, owners, timing and decision thresholds

Participants can build, review and present a complete financial analysis pack supporting a senior decision.

  • Financial statement normalisation establishes the analytical starting point
  • Integrated forecast model translates operating assumptions into financial outcomes
  • Cash flow assessment identifies liquidity requirements and funding options
  • DCF and multiples valuation produce a reasoned value range
  • Credit, covenant and scenario analysis quantify downside exposure
  • Executive presentation defends recommendation, assumptions, risks and action priorities

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

What you take back to work

  1. Financial statement normalisation template
  2. Integrated three-statement forecast model
  3. 13-week rolling cash forecast template
  4. Discounted cash flow valuation model
  5. Credit and covenant assessment checklist
  6. Executive financial analysis pack

Who should attend

  • Financial Analysts — strengthen interpretation, forecasting and valuation work
  • Finance Managers — improve performance analysis and management recommendations
  • FP&A Professionals — connect operating drivers to integrated financial forecasts
  • Credit Analysts — assess repayment capacity, covenants and borrower risk
  • Investment Analysts — evaluate business value, returns and downside scenarios
  • Corporate Finance Professionals — support funding, acquisition and capital allocation decisions

Skills and tools covered

Financial statement analysisCash flow forecastingBusiness valuationCredit assessmentFinancial modellingInvestment appraisal

Tools and standards

IFRS, DuPont analysis, Discounted cash flow, COSO Internal Control Framework

How the course runs

Training methodology

The course uses short technical briefings followed by financial statement cases, spreadsheet modelling, group analysis and facilitated review. Participants analyse reported results, identify accounting and cash flow signals, build forecasts from operating assumptions, test valuation inputs and assess credit scenarios. Simulations require participants to respond to changing prices, volumes, funding terms and working-capital conditions. Instructor feedback focuses on analytical logic, model discipline, evidence quality and executive communication. Application planning links each method to current reporting, budgeting, lending or investment decisions.

Requirements and prerequisites

Participants should understand the main financial statements, basic accounting entries, percentage calculations and common ratios such as gross margin and current ratio. Experience preparing budgets, reviewing management accounts, supporting audits, analysing credit proposals or producing finance reports is useful. Participants should be comfortable working with spreadsheets and reading an annual report. Prior valuation, corporate finance or financial modelling training is not required. The course does not assume advanced mathematics, programming, investment-banking experience or a professional accounting qualification.

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

Participants should be able to read an income statement, balance sheet and cash flow statement, and should be comfortable with spreadsheets. Prior valuation or corporate finance training is useful but not required.

Bring a laptop with spreadsheet software and, where permitted, a recent annual report, budget or management reporting pack from your organisation. Course materials and case data are provided.

It is designed for finance professionals who already work with financial information and need stronger analytical methods. It is particularly relevant to FP&A, financial reporting, credit, investment and corporate finance roles.

Basic finance courses explain statement structure and core calculations. This course focuses on interpretation, normalisation, forecasting, valuation, credit assessment and decision recommendations.

Participants can use the templates and methods for budget reviews, management reporting, lending proposals, investment cases and annual report analysis. The final analysis pack provides a practical structure for future assignments.

The course runs from 08:30 to 16:30 each day, with about 6.5 contact hours. Early modules establish statement analysis and forecasting methods; later modules develop valuation, credit, risk and executive reporting before the capstone.

Questions about this course?

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