Level I · Financial Statement Analysis · 2026 Curriculum

Learning Module 12
Introduction to Financial Statement Modeling

Curriculum 2026
Learning Outcomes

What you must be able to do

Curriculum Year: 2026

LOS 1

Demonstrate the development of a sales-based pro forma company model.

LOS 2

Explain how behavioral factors affect analyst forecasts and recommend remedial actions for analyst biases.

LOS 3

Explain how the competitive position of a company based on a Porter's five forces analysis affects prices and costs.

LOS 4

Explain how to forecast industry and company sales and costs when they are subject to price inflation or deflation.

LOS 5

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 · Building a Financial Statement Model

    • Steps in model construction — revenue forecast → COGS → operating expenses → non-operating items → pro forma income statement → cash flow → balance sheet.

    • Revenue forecast — driven by volume, price/mix, and foreign exchange. Segment-level analysis often provides the most accurate view.

    • COGS & operating expenses — forecast using historical margins and expected changes (e.g., gross margin expansion from product mix).

    • Working capital — forecast using efficiency ratios (DOH, DSO, DPO) linked to sales and COGS.

    • Capital expenditures & depreciation — capex as % of sales; D&A based on prior-year fixed assets.

    • Balance sheet — generated by linking income statement and cash flow projections; all items must tie out.

    • Valuation inputs — free cash flow to the firm (FCFF) is derived from EBIT, taxes, D&A, change in working capital, and capex.

FCFF

FCFF = EBIT(1 − t) + D&A − ΔWC − Capex
Used as the basis for DCF valuation models.

2 · Behavioral Biases in Forecasting

    • Overconfidence — unwarranted faith in own abilities; mitigate by recording and reviewing forecasts, and using scenario analysis.

    • Illusion of control — overestimating control over outcomes; mitigate by limiting model complexity and focusing on key drivers.

    • Conservatism (anchoring) — inadequately incorporating new information; mitigate by regular team reviews and flexible models.

    • Representativeness (base-rate neglect) — classifying new information based on past experiences; mitigate by combining inside view (company-specific) with outside view (industry base rates).

    • Confirmation bias — seeking information that confirms prior beliefs; mitigate by seeking diverse perspectives (e.g., bearish analysts) and conducting thorough competitor research.

3 · Competitive Factors — Porter's Five Forces

    • Threat of substitutes — availability of alternative products that can satisfy the same need.

    • Rivalry — intensity of competition among existing firms; higher rivalry reduces pricing power and margins.

    • Bargaining power of suppliers — ability of suppliers to raise input prices; low power means more favorable cost structure.

    • Bargaining power of buyers — ability of customers to drive prices down; high power erodes margins.

    • Threat of new entrants — 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

ROIC = (NOPAT) / (Operating assets − Operating liabilities)
High and persistent ROIC often indicates a sustainable competitive advantage.

4 · Modeling Inflation and Deflation

    • Inflation impact on sales — 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 — companies can mitigate through input substitution, hedging, long-term contracts, or operational efficiency.

    • Geographic mix — different inflation rates across countries affect revenue and cost projections.

    • Pricing strategy — companies may choose to pass on cost increases (protect margins) or absorb them (gain market share).

    • Deflation — can lead to price wars, lower margins, and inventory write-downs; forecasting requires careful volume–price trade-off analysis.

5 · Forecast Horizon & Long-Term Forecasting

    • Explicit forecast period — influenced by investment strategy, industry cyclicality, company-specific events (e.g., acquisitions), and firm policy.

    • Normalized earnings — mid-cycle earnings excluding temporary factors; used in terminal value calculations.

    • Terminal value — often derived using a perpetuity growth model or exit multiple; the cash flow used should be normalized.

    • Inflection points — economic disruption, regulation, and technology can cause future to look different from the past; analysts must anticipate these.

    • Long-term growth rate — should be realistic (usually ≤ GDP growth for mature companies) and consistent with industry life cycle.

TERMINAL VALUE (PERPETUITY)

TV = FCFFN × (1+g) / (WACC − g)
g = long-term growth rate; must be conservative and sustainable.