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Financial statement analysis is the backbone of every major decision in corporate finance—from valuing acquisition targets to assessing credit risk to evaluating your own firm's performance. You're being tested on your ability to not just calculate ratios or percentages, but to interpret what the numbers mean and choose the right tool for the right question. Exam questions will push you to analyze trends, compare companies of different sizes, and diagnose the drivers behind financial performance.
These tools connect directly to core concepts you'll see throughout the course: liquidity assessment, profitability measurement, capital structure analysis, and valuation. Each technique reveals something different about a company's financial health, and knowing when to apply each one separates strong analysts from those who just crunch numbers. Don't just memorize formulas—understand what question each tool answers and what its limitations are.
These tools focus on how financial performance changes over time. The underlying principle is that a single snapshot tells you very little—patterns and trajectories reveal whether a company is improving, declining, or stable.
Compare: Horizontal Analysis vs. Trend Analysis—both track changes over time, but horizontal analysis typically compares two periods while trend analysis examines patterns across three or more. Use horizontal for quick year-over-year checks; use trend analysis when forecasting or evaluating long-term strategic performance.
These tools convert raw financial data into comparable formats. The core mechanism is expressing items as percentages of a base figure, which eliminates size differences and enables apples-to-apples comparison.
Compare: Vertical Analysis vs. Common Size Statements—these terms are often used interchangeably, but technically vertical analysis is the method and common size statements are the product. On exams, treat them as the same concept unless the question specifically distinguishes them.
Ratios distill complex financial statements into focused metrics that answer specific questions. The principle here is that relationships between numbers often matter more than the numbers themselves.
Compare: Ratio Analysis vs. DuPont Analysis—ratio analysis provides a broad toolkit of individual metrics, while DuPont specifically breaks down ROE into its multiplicative components. If an exam question asks "why did ROE change?" DuPont is your go-to framework.
These tools place a company's performance in context by comparing it to peers, competitors, or industry standards. The underlying principle is that financial metrics only have meaning relative to a relevant benchmark.
Compare: Comparative Analysis vs. Benchmarking—comparative analysis focuses on financial statement metrics, while benchmarking often includes operational KPIs and process improvements. Both require selecting appropriate comparison points; poor peer selection undermines both methods.
These tools use historical data to project future performance. The mechanism involves building structured assumptions about how past patterns and relationships will continue or change.
Compare: Trend Analysis vs. Financial Modeling—trend analysis identifies historical patterns, while financial modeling builds those patterns (plus assumptions) into projections. Trend analysis is descriptive; financial modeling is predictive. Strong models use trend analysis as an input but layer in strategic assumptions.
| Concept | Best Examples |
|---|---|
| Time-series performance | Horizontal Analysis, Trend Analysis |
| Cross-company comparison | Vertical Analysis, Common Size Statements, Comparative Analysis |
| Profitability drivers | DuPont Analysis, Ratio Analysis (profitability ratios) |
| Liquidity assessment | Cash Flow Analysis, Ratio Analysis (liquidity ratios) |
| External benchmarking | Comparative Analysis, Benchmarking |
| Forecasting & valuation | Financial Modeling, Trend Analysis |
| Capital structure analysis | DuPont Analysis (equity multiplier), Ratio Analysis (solvency ratios) |
A company's ROE increased from 12% to 18%, but you're concerned about risk. Which analysis tool would best reveal whether the improvement came from operational efficiency or increased leverage?
You need to compare the cost structures of three competitors with revenues of $50M, $500M, and $5B. Which two tools would you use together, and why does size not matter for this comparison?
Compare and contrast horizontal analysis and trend analysis. When would you choose one over the other, and what additional insight does extending the time horizon provide?
An investor tells you a company is "profitable" based on net income, but you're skeptical. Which analysis tool would you use to challenge or confirm this assessment, and what specific metric would you examine?
You're building a financial model to evaluate an acquisition target. Which other analysis tools would you use as inputs to your model's assumptions, and how would each contribute to your projections?