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Entry · Financial Analysis

Variance Analysis

Variance analysis compares what actually happened with what was budgeted and then explains the gap. A variance is simply the difference between the two, labelled favourable when it helps profit and unfavourable when it hurts.

The value lies not in the total number but in breaking it into causes: price, volume, efficiency and timing.

What it means

Every monthly management pack contains variances, because a single headline difference is rarely useful on its own. Knowing that revenue came in $6,000 below budget matters far less than knowing whether that was fewer customers, lower prices, or a shift in what they bought.

Splitting the gap into price and volume components is the standard first cut. It separates what the sales team did to prices from what the market did to demand, and the two normally call for completely different responses.

The same logic applies on the cost side, where the classic split is a rate variance and a usage variance. A rise in the material cost of a product is either because the price per kilo went up or because the factory used more kilos than the recipe allows, and only the second of those is an operational problem.

Sign conventions cause endless confusion, so most companies label variances favourable or unfavourable rather than positive or negative. An unfavourable cost variance means spending more than budget, while an unfavourable revenue variance means earning less than budget.

Good practice is to set a materiality threshold and investigate only variances above it, in money or in percentage terms. Chasing every small difference consumes the finance team's month and buries the two or three variances that genuinely deserve attention.

In practice

Real-world examples.

1

Example

A retailer's payroll comes in $40,000 over budget for the quarter. Splitting the figure shows $52,000 of unfavourable overtime offset by $12,000 favourable from vacancies left unfilled, which points the discussion at rota planning rather than at pay rates.

2

Example

A food manufacturer sees a material usage variance appear at one plant only. Investigation finds a mis-calibrated filling machine overfilling jars by 3%, a quiet fault that had been costing roughly $9,000 a month for half a year.

3

Example

A software company reports a favourable marketing variance of $70,000 and the board starts to celebrate, until finance points out the campaign was simply pushed into the next quarter. Timing variances reverse themselves, while genuine savings do not.

Think of it

Variance analysis is like checking your bank statement against your budget. You see where you spent more or less than planned.

Formula

Calculation

Total revenue variance = actual revenue - budgeted revenue Volume variance = (actual units - budgeted units) x budgeted price Price variance = (actual price - budgeted price) x actual units A tool hire business budgeted 10,000 hire days at $50 each, giving budgeted revenue of 10,000 x $50 = $500,000. Actual results were 9,500 hire days at an average price of $52, giving actual revenue of 9,500 x $52 = $494,000. Total revenue variance = $494,000 - $500,000 = -$6,000, which is an unfavourable variance of $6,000. Volume variance = (9,500 - 10,000) x $50 = -$25,000, unfavourable. Price variance = ($52 - $50) x 9,500 = $19,000, favourable. The two components add back to the total, since -$25,000 + $19,000 = -$6,000, and together they tell a far more useful story: demand fell short by 500 hire days and higher pricing masked most of the damage.

Case study

Seen in the real world.

The following is an illustrative and fictional story. Portwell Interiors, an invented commercial furniture maker, reported a $180,000 unfavourable gross margin variance for the half year and its board immediately blamed rising timber prices. A supplier renegotiation was ordered before anyone had looked at the components.

The finance team broke the variance down properly and found that material price accounted for only $35,000 of it. Labour efficiency was $95,000 unfavourable because a new production line was still being learned, and sales mix accounted for the remaining $50,000 as customers had bought more of the low margin entry range than budgeted.

In this fictional case the supplier renegotiation would have addressed less than a fifth of the problem. Portwell instead invested in line training and adjusted its sales commission to favour the higher margin range, and the variance had closed to $20,000 by the end of the following half year.

Watch out

Common mistakes.

  • Comparing actual results against the original budget volume rather than flexing the budget to actual volume first, which mixes a volume effect into every cost variance and hides real efficiency problems.
  • Treating a favourable variance as automatically good news, when underspending often means work was delayed, maintenance was skipped or a vacancy went unfilled.
  • Reporting variances weeks after the period closes, by which point the causes are forgotten and nothing can be corrected in time to matter.

Questions

People also ask.

What is a flexed budget?

A budget recalculated at the actual level of activity, which lets you compare costs on a like for like basis instead of penalising a month simply because it was busier than planned.

How large does a variance need to be before it is investigated?

Most businesses set a dual threshold, for example anything above $10,000 or above 5% of the budget line, so both large absolute and large proportionate gaps are caught.

Does variance analysis still work with rolling forecasts?

Yes, and the comparison simply shifts to the most recent forecast, though many companies keep the original budget as a second reference to see how far expectations have drifted.

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Last updated · September 4, 2026
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