Using Break-Even (OCR GCSE Business)
Revision Note
Written by: Lisa Eades
Reviewed by: Steve Vorster
Using Break-Even in Decision Making
Break-even analysis can support decision making
It provides valuable insights into the financial viability and performance of a business
It helps in weighing up the potential risks and rewards associated with different decisions
The Benefits of Break-Even Analysis
Benefit | Explanation |
---|---|
Profitability assessment |
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Cost control |
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Pricing decisions |
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Financial planning |
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Performance monitoring |
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Limitations of Break-Even Analysis
In common with other quantitative analysis tools, break-even analysis has some limitations
Costs and revenues do not always increase in direct proportion to units sold
Businesses may be able to negotiate bulk-buying discounts that reduce variable costs per unit at high levels of output
Fixed costs could increase significantly at higher levels of output as more staff or equipment may be required
Buyers may demand discounts for placing large orders, which will reduce the selling price per unit
Cost data is often an estimate
If break-even is used for forecasting, future cost estimates are used
The reliability of these estimates depends on the skills and experience of buyers and financial planners
It is less useful when a business sells more than one product
Break-even calculations are more complex and less reliable when products with different selling prices and variable costs need to be considered
Some output may remain unsold
Break-even calculations assume that all output is sold
In reality, businesses keep some stock as a buffer to meet demand at a later date
Unsold stock may be sold at a lower price to reduce storage costs or raise cash
Break-even charts can be difficult to amend
Changes to costs and selling prices may require new models to be drawn up, which requires expertise and may take some time
Examiner Tips and Tricks
You may be asked to analyse the value of break-even analysis in decision-making. Make sure that you consider both the benefits and drawbacks to balance your analysis.
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