Learning Module 12
Introduction to Financial Statement Modeling
Key Outcomes Summary & Practice Problems
What you must be able to do
Curriculum Year: 2026
Demonstrate the development of a sales-based pro forma company model.
Explain how behavioral factors affect analyst forecasts and recommend remedial actions for analyst biases.
Explain how the competitive position of a company based on a Porter's five forces analysis affects prices and costs.
Explain how to forecast industry and company sales and costs when they are subject to price inflation or deflation.
Explain considerations in the choice of an explicit forecast horizon and an analyst's choices in developing projections beyond the short-term forecast horizon.
1 Β· Building a Financial Statement Model
Steps in model construction β revenue forecast β COGS β operating expenses β non-operating items β pro forma income statement β cash flow β balance sheet.
Revenue forecast β driven by volume, price/mix, and foreign exchange. Segment-level analysis often provides the most accurate view.
COGS & operating expenses β forecast using historical margins and expected changes (e.g., gross margin expansion from product mix).
Working capital β forecast using efficiency ratios (DOH, DSO, DPO) linked to sales and COGS.
Capital expenditures & depreciation β capex as % of sales; D&A based on prior-year fixed assets.
Balance sheet β generated by linking income statement and cash flow projections; all items must tie out.
Valuation inputs β free cash flow to the firm (FCFF) is derived from EBIT, taxes, D&A, change in working capital, and capex.
FCFF = EBIT(1 β t) + D&A β ΞWC β Capex
Used as the basis for DCF valuation models.
2 Β· Behavioral Biases in Forecasting
Overconfidence β unwarranted faith in own abilities; mitigate by recording and reviewing forecasts, and using scenario analysis.
Illusion of control β overestimating control over outcomes; mitigate by limiting model complexity and focusing on key drivers.
Conservatism (anchoring) β inadequately incorporating new information; mitigate by regular team reviews and flexible models.
Representativeness (base-rate neglect) β classifying new information based on past experiences; mitigate by combining inside view (company-specific) with outside view (industry base rates).
Confirmation bias β seeking information that confirms prior beliefs; mitigate by seeking diverse perspectives (e.g., bearish analysts) and conducting thorough competitor research.
3 Β· Competitive Factors β Porter's Five Forces
Threat of substitutes β availability of alternative products that can satisfy the same need.
Rivalry β intensity of competition among existing firms; higher rivalry reduces pricing power and margins.
Bargaining power of suppliers β ability of suppliers to raise input prices; low power means more favorable cost structure.
Bargaining power of buyers β ability of customers to drive prices down; high power erodes margins.
Threat of new entrants β barriers to entry; high barriers protect incumbent margins.
Analysis of these forces helps assess a company's ability to maintain prices and margins, which feeds into revenue and cost forecasts.
ROIC = (NOPAT) / (Operating assets β Operating liabilities)
High and persistent ROIC often indicates a sustainable competitive advantage.
4 Β· Modeling Inflation and Deflation
Inflation impact on sales β depends on price elasticity of demand and ability to pass through costs. Inelastic demand allows price increases without significant volume loss.
Inflation impact on costs β companies can mitigate through input substitution, hedging, long-term contracts, or operational efficiency.
Geographic mix β different inflation rates across countries affect revenue and cost projections.
Pricing strategy β companies may choose to pass on cost increases (protect margins) or absorb them (gain market share).
Deflation β can lead to price wars, lower margins, and inventory write-downs; forecasting requires careful volumeβprice trade-off analysis.
5 Β· Forecast Horizon & Long-Term Forecasting
Explicit forecast period β influenced by investment strategy, industry cyclicality, company-specific events (e.g., acquisitions), and firm policy.
Normalized earnings β mid-cycle earnings excluding temporary factors; used in terminal value calculations.
Terminal value β often derived using a perpetuity growth model or exit multiple; the cash flow used should be normalized.
Inflection points β economic disruption, regulation, and technology can cause future to look different from the past; analysts must anticipate these.
Long-term growth rate β should be realistic (usually β€ GDP growth for mature companies) and consistent with industry life cycle.
TV = FCFFN Γ (1+g) / (WACC β g)
g = long-term growth rate; must be conservative and sustainable.