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Uses of Break Even Analysis

  • Prediction: Break Even Analysis is useful in predicting what sales volume has to be achieved in order to start earning a profit.

For  example,  in  the  above  case  sales  should  be  at  least  40,000  units or Rs.4 lakh before the firm starts earning a profit.

  • Margin of Safety: Break Even Analysis can also be used to answer the question, "How low can the sales fall before the firm will begin to incur losses?"

In the example above, break even sales are at Rs.4 lakh. Actual sales are expected to be Rs.5 lakh. Then if actual sales are lower by more than 10,000 units, Rs.1 lakh or 20%, the firm will incur losses.

The 10,000 units or Rs.1 lakh or 20% is called the Margin of Safety. It is the difference between actual sales and Break Even sales.

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  • Scale of Operations: An important decision is to decide the scale of operations of a firm. In practical terms, this would mean deciding upon the capacity of the firm to produce and sell its products.

Consider the three cases illustrated below:

Case I

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Case II

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Case III

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In all the cases, the firm has a capacity of 100%. This means that the company does not have the necessary infrastructure to produce more than 100 units in a year [capacity is usually specified as maximum possible production per year].

  1. In Case I, once the sales quantity crosses 25 units or 25% of capacity, the firm begins to earn a profit. This is relatively a safe situation because the firm can start earning profit at a relatively low level of activity.

  2. In Case II, the firm begins to earn a profit once the sales quantity crosses 65 units or 65% of capacity. This is a riskier situation than Case I because the firm has to achieve a much higher level of activity before it can start earning profits.

  3. Case III is a disaster because the firm cannot earn a profit even when sales quantity equals the capacity of 100 which is the maximum possible production.

  • Changes in Underlying Factors: Break Even analysis can also be used to study the effect of changes in underlying factors on the Break Even Point and Margin of Safety.

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