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Lesson 33 C2bC2cC2d

Recap: single product analysis

In this recap of single product analysis, you'll consolidate the core formulas and techniques for break-even and profit planning that appear across ACCA and CIMA papers including PM, FM, and APM.

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In this lesson

  1. 0:00 Break even and margin of safety recap
  2. 1:34 Key break even formulas explained
  3. 2:53 Worked example setup and context
  4. 3:37 Calculating break even in units
  5. 4:42 Calculating break even in revenue
  6. 5:32 Margin of safety in units and percentage
  7. 6:44 Sales volume for target profit

About this lesson

You'll learn how to calculate the break-even point in units and revenue, understand the margin of safety as a measure of business cushion, and adapt break-even analysis to find sales volumes needed for target profits. The session works through a complete example step-by-step, showing you how to apply each formula and demonstrating that these calculations are essential exam knowledge you must memorise and apply with confidence. The break-even point is where total revenue equals total costs—neither profit nor loss. You'll see how to calculate it by dividing fixed costs by contribution per unit, and how to express it in revenue terms using the contribution to sales ratio. The margin of safety tells you how far actual or budgeted sales can fall before the company reaches break-even, measured either in units or as a percentage of budgeted volume. This gives you a practical sense of the business risk and resilience built into a plan. The worked example walks you through calculating break-even in units and revenue, finding the margin of safety both ways, and determining the sales volume needed to hit a specific profit target. You'll see that the profit target formula works almost identically to break-even, except you treat the target profit as an additional fixed cost on the numerator. Understanding these relationships helps you apply the techniques flexibly across different exam scenarios and real business situations where you need to model financial performance and risk.

Duration: 7m

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