Budget vs Actual Variance Analysis

Alex Lee
5 min readJun 2, 2020

Last month, I wrote an article about the FP&A function of the CFO suite (link). For this piece, I’ll dive into a tactical analysis that is important to every CEO and CFO, the budget vs actual variance analysis.

Source: Vena Solutions

What is the Budget vs Actual Variance Analysis

It is a comparison of your company’s planned financial performance (budget) compared against the final financial results (actual) for a given time period. The variance is the difference between the budget and actual, typically expressed as a percentage difference or total cash difference. The purpose of variance analysis is to segment the business into its building blocks and understand how each block is performing. In the process, we may encounter questions such as:

  • Why is North America sales selling our core product better than Europe sales? Is it because we don’t understand our European customers or is it because the Europe sales team isn’t performing well?
  • Why is sales efficiency down? Sales and marketing expenditure up proportionally more than sales compared to the previous year. Is it a low performing sales rep or ineffective marketing campaigns?
  • Are the variances being driven by operational shortcomings or are there macro economic changes that we weren’t prepared for? How should we adjust the forecast going forward?

Let’s consider an example where the company misses revenue targets by 8%. That’s not good but now what? How does the CEO/CFO act on this information?

The real value is in the details. Total revenue is the summation of its parts. If it were a software company, its revenue could be broken down into monthly subscription revenue, pay-as-you-go revenue, professional services revenue, and proof of concept revenue. Depending on the company, revenue can also be segmented by customer location (geography) or customer industry (sector). When we drill down, we may learn that North America sales beat expectations by 12% but Europe sales were down 20%. In this case, the CFO would simply need to talk to the Europe sales leader, rather than the entire sales organization.

Year-to-Date (YTD) & Full Year Forecast

Source: Wall Street Prep

The image above is a sample budget vs actual variance analysis. The left section is budget vs actual performance year-to-date and the right section is the full year budget and forecast. If you are confused by the difference between budget, plan, actual, and forecast, let me explain.

  • Budget & Plan are used interchangeably; they’re the same. Going into the new fiscal year, company management sets a financial plan. This includes sales targets and expense budgets.
  • Actual is the financial performance that happens, which means it is backward looking. The only way to have actual financials is if it has already happened.
  • Forecast is the expected financial performance going forward based on new information. In the example above, the full year plan for revenue is $2,575,847 but after one quarter, we can take our learnings and readjust the forecast. In this case, shortfall in revenue coupled with other factors drove the full year forecast for revenue down to $2,461,844.

Elasticity of Key Business Drivers

The budget vs actual variance model is highly effective in helping managers understand the elasticity of key business drivers.

What does that mean? Let’s take an enterprise software company who’s primary sales channel is direct to enterprise sales. The management hires a world-class outside sales team across the country to approach every Fortune 500 company. In order to build a revenue plan, the managers assume one deal per quarter with an annual sales quota of $2.5M per sales representative. After the first quarter, we find the sales team meeting expectations and find strong evidence to adjust the forecast up based on macro economic tail winds.

How do we meet the new forecast? Should we increase the annual sales quota because we believe the sales team can achieve more? Or are the existing sales reps stretched thin and we need to hire new sales people? How are we adjusting for ramp up period (a sales rep with 12 months of experience selling our core product is more effective than someone with 3 months)? These are questions we can answer by running sensitivity analysis. This then helps us understand the elasticity of a key business driver.

Source: Corporate Finance Institute

Each company has a unique set of variables that drive the business. For a consumer software product, it could be the stickiness of new features or the effectiveness of social media ads. For an enterprise software product, it could be the effectiveness of its customer success team or the reach of its indirect channel partnerships. The key is to figure out the levers that drive your business and run various A/B tests around those levers to optimize business performance.

A Valuable Tool, Especially in Today’s Market

Today’s market is a tale of two streets: Wall Street where the S&P 500 index is only down 6% for the year and Main Street where the unemployment rate is nearing 25% with heightened social unrest. All this against the backdrop of the Covid-19 pandemic and the most complex financial system we’ve ever known. All this combined creates the most unpredictable market we’ve ever been in.

I’m writing about this topic now because financial planning is more important than ever. Managers are constantly receiving new information that could justify changing the business strategy. The budget vs actual variance analysis is a valuable tool to analyze which business levers are most important and how to think about the months ahead. Performing regular budget vs actual comparisons will reveal trends in your operations that might’ve gone unnoticed.

If you have any thoughts or questions, please comment below. If you are a CEO, CFO, or Director of Finance, please reach out by email Alex.lee@alliance-rnm.com. I’d love to talk to you about how you’re doing financial planning.

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Alex Lee

Co-founder, CEO at Bluelight (YC W21). Angel Investor. Writing about the intersection of finance and startups.