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Home > Blog > Data Analytics

Vertical Analysis and Horizontal Analysis: A Complete Guide

Financial data tells a story, but only when examined through the right framework. Vertical analysis and horizontal analysis are two structured evaluation methods that convert raw numbers into actionable patterns.

Analysts use them to assess performance, track movement across time periods, and understand how a company allocates its financial resources.

Vertical Analysis and Horizontal Analysis

Finance teams, accountants, and business managers apply these techniques across budgeting cycles, forecasting models, and strategic planning reviews.

Each method targets a different dimension of financial insight. Together, they provide a complete view of how a company grows over time and what its internal financial composition reveals at any given point.

What is Horizontal Analysis?

Definition: In vertical analysis and horizontal analysis work, horizontal analysis measures how line items change across two or more consecutive reporting periods.

Using a base year as a reference, analysts calculate both the absolute change and the percentage shift for key metrics such as revenue, expenses, and net income.

The primary purpose is to detect directional trends over time, enabling teams to determine whether financial results are improving or weakening.

Organizations apply this technique for trend analysis in Excel when reviewing multi-year performance across income statements, balance sheets, or cash flow reports.

How to Perform Horizontal Analysis

Vertical analysis and horizontal analysis each follow a defined process. The steps below demonstrate how to apply horizontal analysis by comparing financial data across reporting periods to reveal performance changes over time.

  1. Prepare the Necessary Financial Information

Collect financial statements for two or more consecutive periods, such as income statements or balance sheets. Arrange the data in columns by year so values can be compared easily. This organized structure also improves data analysis in Excel.

  1. Determine Your Comparison Method

Select a base year for comparison. Then calculate:

  • Absolute Change: Current Year – Base Year
  • Percentage Change: (Absolute Change ÷ Base Year) × 100

These calculations show both the size and rate of financial changes.

  1. Identify Trends

Review the results to detect patterns. Rising revenue with controlled expenses may indicate efficiency, while increasing costs may signal potential issues. Visualization tools and the best Excel add-ins for data analysis can further simplify trend identification.

Examples of Horizontal Analysis

The table below uses three years of income statement data to show how horizontal analysis, one component of vertical analysis and horizontal analysis, quantifies revenue and expense changes through both absolute values and percentages.

Year Revenue Expenses Net Income
2022 100,000 70,000 30,000
2023 120,000 80,000 40,000
2024 150,000 95,000 55,000
  • Absolute Change Calculation

Absolute change compares each year with the base year (2022).

Revenue change (2023) = 120,000 – 100,000 = 20,000

  • Percentage Change Calculation

Percentage change helps measure growth rate.

Revenue percentage change (2023) = (20,000 ÷ 100,000) × 100 = 20%

  • Interpretation

Revenue grew at a consistent rate while net income increased at a faster pace between 2022 and 2024, a result frequently examined in reports on financial analysis prepared for management audiences.

What is Vertical Analysis?

Definition: Where vertical analysis and horizontal analysis differ most is in scope. Vertical analysis examines the internal proportions of a single period statement, expressing every line item as a percentage of a base figure rather than comparing results across different years.

For income statements, total revenue is the standard base value. For balance sheets, total assets typically serve that role. This common-size format reveals cost ratios, profit margins, and how resources are distributed within a business, making it a strong complement to the temporal view that horizontal analysis provides.

How to Perform Vertical Analysis

The steps below explain how to convert a financial statement into a percentage-based format, making it easier to compare cost structures and profit proportions both internally and against peer organizations.

  1. Prepare Your Balance Sheet

    Organize financial data clearly, listing items such as revenue, cost of goods sold, operating expenses, and net income. Analysts often start with income statement data when conducting a financial performance analysis.

  2. Calculate Percentages for Each Line Item Account

    Convert each value into a percentage of the base figure using the formula:

Line Item Percentage = (Line Item Value ÷ Base Figure) × 100

For income statements, total revenue usually serves as the base value.

  1. Analyze the Results

    Interpret the percentages to understand the financial structure. Higher cost percentages may indicate inefficiency, while stronger profit margins suggest better performance. These insights are useful when learning how to prepare financial statement analysis for strategic decisions.

Examples of Vertical Analysis

Applied together, vertical analysis and horizontal analysis reveal both structure and trend. This example converts income statement figures into percentages of total revenue, showing the proportional weight of costs and income within a single period.

Consider the following simplified income statement:

Item Amount
Revenue 200,000
Cost of Goods Sold 120,000
Operating Expenses 40,000
Net Income 40,000
  • Percentage Calculation

Cost of Goods Sold = (120,000 ÷ 200,000) × 100 = 60%

Operating Expenses = (40,000 ÷ 200,000) × 100 = 20%

Net Income = (40,000 ÷ 200,000) × 100 = 20%

  • Common-Size Results

Item Percentage of Revenue
Cost of Goods Sold 60%
Operating Expenses 20%
Net Income 20%
  • Interpretation

Where vertical analysis and horizontal analysis differ: with 60% of revenue in production costs, 20% remains as profit, a proportion relevant to 3-statement financial modeling frameworks.

Difference Between Horizontal and Vertical Analysis

Though both are essential analytical tools, vertical analysis and horizontal analysis serve distinct purposes. One focuses on proportion within a single period; the other tracks performance movement across multiple periods.

Feature

Horizontal Analysis

Vertical Analysis

Primary Objective Identifies trends over time Shows structural composition
Direction Across multiple periods Within a single period
Base Figure Base year value Total revenue or total assets
Decision Focus Growth trends and performance change Cost and revenue distribution
Common Use Year-over-year comparisons Common-size financial statements

Used in combination, they give analysts both the structural picture and the historical trajectory, supporting stronger planning for long-term financial goals, examples, and more complete performance evaluations.

Top 5 Vertical Analysis and Horizontal Analysis Use Cases

  •  Income Statement Composition Analysis

This example shows how the percentage contribution of key income categories to total revenue shifted between the two years under review.

Vertical Analysis and Horizontal Analysis
  • Cash Inflows and Outflows by Department

This example maps how cash inflows and outflows are distributed across business activities, payment methods, and organizational departments throughout a given period.

Vertical Analysis and Horizontal Analysis
  • Quarterly Financial Components Driving Net Profit

This example breaks down how revenue, production costs, and operating expenses each contributed to net profit results across individual quarters of the year.

Vertical Analysis and Horizontal Analysis
  • Monthly Business Performance Overview

This example tracks key performance indicators, including revenue growth, operating expenses, customer retention, and net profit margin, across each month of the year.

Vertical Analysis and Horizontal Analysis
  • Banking Product Portfolio Breakdown

This example shows how various banking service lines each contribute proportionally to the institution’s total revenue.

Vertical Analysis and Horizontal Analysis

How to Perform Vertical and Horizontal Analysis in Excel?

Performing vertical and horizontal analysis in Excel helps you evaluate financial performance by comparing line items over time and understanding their proportion within a statement. Follow these steps to conduct an accurate analysis:

Step 1: Organize Your Financial Data

Begin by arranging your financial statements in Excel. Place different periods (e.g., years) in columns and list all line items like revenue, expenses, and profit in rows.

Step 2: Perform Vertical Analysis

Calculate each line item as a percentage of a base figure, typically total revenue. Use formulas to divide each value by total revenue and multiply by 100. This helps you understand how each component contributes to overall performance.

Step 3: Perform Horizontal Analysis

Compare financial data across periods by calculating the percentage change from one period to another. Subtract the previous value from the current value, divide by the previous value, and multiply by 100 to identify growth or decline trends.

Step 4: Apply Excel Formulas

Use formulas like percentage calculations, growth rates, and difference formulas to automate your analysis. This ensures consistency and saves time when working with large datasets.

Step 5: Create Visualizations

Use charts such as comparison bars or column charts to present your analysis clearly. For more advanced and visually engaging charts, you can use ChartExpo to simplify complex financial visualizations.

Step 6: Interpret Financial Insights

Analyze the results to identify key trends, cost structures, and performance changes over time. Focus on areas with significant increases or decreases to support better decision-making.

Step 7: Add Final Analysis Chart

Include a final visualization, such as a tornado chart that highlights changes in financial components across periods.

This helps clearly present vertical proportions and horizontal trends, making it easier to compare performance and communicate insights effectively.

Vertical Analysis and Horizontal Analysis

Key Insights

  • The cost of goods sold dropped from 60% to 58%, pointing to a measurable gain in production efficiency.
  • Spending on marketing (10% to 12%) and R&D (5% to 6%) rose, signaling a deliberate commitment to growth investment.
  • Net profit margin expanded from 18% to 21%, reflecting an overall improvement in the company’s profitability position.

Best Practices for Accurate Vertical and Horizontal Analysis

Reliable results from vertical analysis and horizontal analysis depend on how consistently and carefully analysts apply each method. The following practices reduce the risk of errors and improve the quality of financial comparisons.

  • Use consistent accounting periods: Confirm that all data spans comparable timeframes before making any period-to-period comparisons.
  • Adjust for inflation when necessary: Long-term comparisons benefit from inflation adjustments, which prevent distortion in percentage changes.
  • Verify data accuracy: A single input error in a financial statement can produce misleading results across every derived calculation.
  • Avoid mixing audited and unaudited data: Drawing from inconsistent sources undermines the reliability of any comparative analysis.
  • Compare similar financial structures: Cross-industry or mixed-business-model comparisons often yield conclusions that do not hold up under scrutiny.
  • Supplement with ratio analysis: Adding financial ratios alongside these methods delivers a more complete view of operational performance.

How Vertical Analysis and Horizontal Analysis Work Together

Applying both vertical analysis and horizontal analysis to the same set of statements produces a more complete financial picture than either method can deliver on its own.

  • Identifies trends and structure: Horizontal analysis maps change over time, while vertical analysis reveals the proportional makeup of each statement.
  • Enhances performance evaluation: Combining both methods generates a fuller view of where a business gains efficiency and where margins tighten.
  • Detects cost pattern shifts: The combination highlights cases where expense growth outpaces revenue gains before they become critical.
  • Improves forecasting accuracy: Structural data combined with historical trends gives analysts a stronger foundation for projecting future performance.
  • Supports ratio analysis: Both methods provide inputs that make financial ratios easier to calculate and interpret.
  • Strengthens strategic planning: Together, they give leadership the data context needed to make confident budgeting and capital allocation decisions.

FAQs

Why is it called horizontal analysis?

It is called horizontal analysis because financial data is compared across time periods, arranged horizontally in financial statements. Analysts measure changes from one period to another using absolute and percentage calculations.

Is horizontal analysis only for the balance sheet?

No. It can be applied to income statements, balance sheets, and cash flow statements. Any financial data covering multiple periods can be analyzed using this method.

Can you do a vertical analysis on a balance sheet?

Yes. Vertical analysis expresses each balance sheet item as a percentage of total assets, helping analysts understand the proportion of assets, liabilities, and equity.

What are the two major forms of common-size analysis?

The two main forms are vertical analysis and horizontal analysis. Horizontal analysis identifies trends across periods, while vertical analysis shows the percentage contribution of each line item within a single financial statement.

Wrap Up

Vertical analysis and horizontal analysis give decision-makers a disciplined, structured approach to reading financial data.

Whether evaluating how line items shift across multiple reporting periods or understanding the internal composition of a single statement, these methods surface the patterns that matter most to strategic planning, budgeting, and performance assessment.

When applied consistently and paired with strong visualization tools, both techniques improve reporting clarity, sharpen forecasting accuracy, and support well-informed investment and cost decisions.

Analysts who understand how to use each method correctly, and when to combine them, are positioned to deliver deeper, more credible financial insights that drive long-term results.

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