Break-even quantity
Break-even quantity is the minimum amount of products needed for a business to sell in order to make a profit.
Contribution
Contribution is how much a product contributes to the fixed costs of a business. It's the money made and can be used to support other parts of the business.
Contribution is not the same as profit. Contribution is used to pay other costs in a factor and its reminder is profit.
Contribution per unit
price per unit - variable cost per unit.
Total contribution
total sales revenue - total variable costs
Profit
total contributions - total fixed costs
Break even point
There is no loss nor profit
Break even chart
Numerically or graphically calculation of break even point
Margin of safety
Margin of safety is where the output amount exceeds the break even quantity.
Margin of safety = current output - break-even output
Contribution per unit method
break even quantity = fixed costs/ contribution per unit.
Profit
Profit = total contribution - total fixed costs
Profit = Total revenue - total costs
Target profit output
Target profit output is the level of output that is needed to earn a specified amount of profit.
Target profit output
Target profit output = fixed costs + target profit / contribution per unit
Break even revenue
break even revenue = fixed costs /contribution per unit * price per unit
Benefits of break-even analysis
Visualise a firm’s profit or loss
Can determine a firm’s margin of safety
Calculations can back-up the graph
The impact of changes in price and costs can be observed visually.
Strategic decision making tool.
Limitations
Assumes all units produced are sold, which isn’t always the case. Businesses usually have stocks which aren’t accounted for in the analysis and sometimes the extra stock isn’t even sold.
Assumes that all costs and revenues are linear but discounts could change that.
Fixed costs may change at different levels of activity.
Semi-variable costs are not usually represented such as an increase in wages.
Not useful in a dynamic business environment.
Unreliable or inaccurate data may influence the conclusions reached, leading to wrong decisions being made.