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Weighted Average

A weighted average is an average in which some values count for more than others because they represent bigger amounts. Instead of adding numbers up and dividing by how many there are, each value is multiplied by a weight, the results are added, and the total is divided by the sum of the weights.

It is the correct way to average anything where size varies, such as margins across product lines or interest rates across several loans.

From the Money Master HQ dictionary, founded by Shihan Sheriff (FCMA, VP of Finance at Nomod, CFO at Esanjo Ventures). How these definitions are written.

What it means

A simple average treats every number as equally important, which is fine for a list of test scores but misleading in business. If one product line generates ten times the revenue of another, its margin should carry ten times the influence on the company-wide figure.

The weight is whatever measures importance in the situation. It might be revenue, units, share count, days, or loan principal, and choosing the wrong weight is the most common way weighted averages go wrong.

You meet weighted averages constantly in finance without always noticing the label. Weighted average cost of capital, weighted average cost of inventory, weighted average number of shares for earnings per share, and blended interest rates on a debt stack are all the same arithmetic wearing different names.

The practical value is that a weighted average tells you what actually happened, whereas a simple average tells you what would have happened if everything were the same size. The gap between the two is often the real insight, because a large gap means results are concentrated in a few places.

One caution: a weighted average can hide a bad performer completely. If 90% of revenue comes from one healthy line, the blended margin will look fine even while a smaller line loses money on every sale, so the average should always be read alongside the underlying components.

A related idea worth knowing is the moving weighted average, used where new purchases keep arriving at different prices. Each time stock is bought the average unit cost is recalculated across the whole holding, so the figure drifts gradually rather than jumping with every transaction.

In practice

Real-world examples.

1

Example

A finance director calculates the blended interest rate on three loans: $2,000,000 at 6%, $1,000,000 at 9% and $1,000,000 at 4%. The weighted average is ($120,000 + $90,000 + $40,000) / $4,000,000 = $250,000 / $4,000,000 = 6.25%, rather than the misleading simple average of 6.33%.

2

Example

A retailer uses weighted average cost to value inventory after buying the same component at three different prices during the year. The resulting unit cost feeds straight into cost of goods sold and therefore into reported gross profit.

3

Example

A listed company issues new shares in September, so earnings per share must use the weighted average number of shares over the year rather than the year-end count. Using the year-end figure would understate earnings per share and mislead investors comparing the result with prior years.

Formula

Calculation

Weighted average = (w1 x v1 + w2 x v2 + ... + wn x vn) / (w1 + w2 + ... + wn), where v is each value and w is its weight. A distributor sells three product lines. Line A produces $500,000 of revenue at a 30% gross margin, Line B produces $300,000 at 45%, and Line C produces $200,000 at 20%. Weighted numerator = ($500,000 x 30%) + ($300,000 x 45%) + ($200,000 x 20%) = $150,000 + $135,000 + $40,000 = $325,000. Total weight = $500,000 + $300,000 + $200,000 = $1,000,000. Weighted average margin = $325,000 / $1,000,000 = 32.5%. The simple average of the three margin percentages would be (30% + 45% + 20%) / 3 = 31.7%, which understates the true blended margin because the high-margin Line B carries more revenue than Line C.

Case study

Seen in the real world.

This is a fictional, illustrative example. Cedarline Coffee Roasters ran four channels: wholesale, subscription, retail cafes and online. The commercial director reported an "average channel margin" of 38%, calculated by adding the four channel margins and dividing by four, and the board approved a plan to grow every channel equally.

When a new financial controller reweighted the figures by revenue, the picture changed. Wholesale carried $4,000,000 of the $6,000,000 total revenue at only 24% margin, while the small online channel earned 62% on just $400,000. The true weighted average margin was 31%, seven points below what the board had been told, and the growth plan had been quietly pouring effort into the least profitable channel.

Cedarline did not abandon wholesale, since it absorbed roasting capacity and covered fixed overhead. It did, however, reprice the lowest-margin wholesale accounts and shift marketing spend towards subscription, lifting the blended margin to 34% within a year.

Watch out

Common mistakes.

  • Averaging percentages directly when the underlying bases differ in size. Percentages must be reweighted by the amounts they came from, not simply added and divided.
  • Picking a weight that does not match the question. Averaging margins by unit count when the units have very different prices produces a number that means nothing.
  • Reporting only the blended figure. A weighted average without its components can conceal a loss-making product line entirely.

Questions

People also ask.

When is a simple average actually correct?

When every item genuinely carries equal importance, such as averaging the scores of five equally weighted survey questions.

Can the weighted average sit outside the range of the individual values?

No, it always falls between the smallest and the largest value, which makes it a useful sanity test on your arithmetic.

Should weights add up to 1?

They do not have to, because dividing by the sum of the weights normalises them, but expressing them as percentages that total 100% often makes the calculation easier to follow.

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Last updated · October 8, 2026
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