How to Do a Horizontal Analysis of Financial Statements
Uncover a company's financial story by systematically comparing its performance data over multiple periods.
Uncover a company's financial story by systematically comparing its performance data over multiple periods.
Horizontal analysis is a financial tool used to identify changes and trends in a company’s financial data over time. It reveals shifts in financial performance and position, showing how individual financial line items have evolved.
Horizontal analysis, often called trend analysis, aims to evaluate financial data across multiple reporting periods, such as year-over-year or quarter-over-quarter. This comparison helps in observing underlying trends and patterns. The process involves selecting a base period and comparing subsequent periods against it to determine the magnitude and direction of changes.
This analysis applies to core financial statements, including the Income Statement, Balance Sheet, and Cash Flow Statement. Examining these statements over time helps stakeholders understand a company’s historical performance. It highlights areas of growth, decline, or stability, which aids in assessing financial health.
Gathering and organizing financial data is a foundational step for horizontal analysis. This process starts with obtaining the relevant financial statements for the periods you intend to compare. For instance, collect Income Statements for two consecutive fiscal years, or a longer series of annual reports to observe multi-year trends.
Next, select a “base period” and a “current period.” The base period is typically the earliest period in your comparison, serving as the reference point against which all subsequent periods will be measured. The current period is the later period you are analyzing. For example, if comparing 2023 and 2024 data, 2023 would commonly be chosen as the base year.
Preparation involves aligning corresponding line items from each financial statement across the selected periods. This means ensuring that “Revenue” from the base period is directly compared to “Revenue” from the current period, and similarly for “Cost of Goods Sold,” “Accounts Receivable,” or any other item. Using a spreadsheet is a practical method for setting up this data, with columns for each period’s values and rows for each line item. This organized approach ensures accuracy.
Once financial data is prepared and aligned, the next step involves applying the core formula for horizontal analysis to each line item. This calculation quantifies both the absolute dollar change and the percentage change between the current and base periods. The formula is: (Current Period Value - Base Period Value) / Base Period Value 100
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This formula is applied systematically across all line items of the financial statements being analyzed. For example, if a company’s revenue in the base period was $100,000 and in the current period it was $120,000, the calculation would be: (($120,000 – $100,000) / $100,000) 100 = 20%. This indicates a 20% increase in revenue. Similarly, if Cost of Goods Sold went from $60,000 to $63,000, the calculation would be (($63,000 – $60,000) / $60,000) 100 = 5%, showing a 5% increase.
The same method applies to balance sheet items such as Cash, Accounts Receivable, or Accounts Payable. If Cash was $50,000 in the base period and $45,000 in the current period, the change would be (($45,000 – $50,000) / $50,000) 100 = -10%. This signifies a 10% decrease in the cash balance. These calculations transform raw financial figures into comparative metrics.
After calculating the dollar and percentage changes for each line item, interpret these results. A positive change in revenue or net income, for instance, typically indicates growth and improved profitability. Conversely, a negative change in these areas could signal a decline in performance.
Identifying significant trends involves looking for consistent patterns over multiple periods, not just isolated changes. A steady increase in assets might suggest business expansion, while a persistent rise in liabilities could indicate increasing debt levels. Unusual changes, such as a large increase in accounts receivable without a corresponding increase in sales, warrant further investigation as they might point to issues like slow collections.
Interpretation always considers the broader economic and industry context. For example, a decline in revenue might be less concerning if the entire industry experienced a downturn. Company-specific events, like an acquisition or a significant capital expenditure, can also explain sudden shifts in financial figures. Contextualizing the numerical changes provides a more accurate understanding of the company’s financial health and performance over time.