CVP Analysis (Session 3) Flashcards
CVP Analysis
technique that examines changes in profits
in response to changes in sales volumes, costs, and prices.
Contribution Margin
The contribution margin is the total revenue minus the total variable costs.
Use CVP analysis to provide information about the following:
o Which products or services to emphasize.
o The volume of sales needed to achieve a targeted
level of profit.
o The amount of revenue required to avoid losses.
o Whether to increase fixed costs.
o How much to budget for discretionary expenditures.
o Whether fixed costs expose the organization to an
unacceptable level of risk
Contribution Margin per Unit (CMu)
The contribution margin per unit (CMu) is the selling price per unit minus
the variable cost per unit.
Break-even point
QTY SOLD = FC / CM
Cost-Volume-Profit Graph
A cost-volume-profit graph shows the relationship between total revenues and total costs
CVP Analysis for Multiple Products
When a company sells more than one product, the CVP
calculations must be adjusted for the sales mix.
The sales mix is…
the proportion of different products or services
that an organization sells
WE ASSUME A CONSTANT SALES MIX
How does sales mix analysis helps managers?
Sales mix analysis allows managers to achieve the combination of
sales that will yield the greatest amount of earnings.
Uncertainties & Assumptions
- All organizations are subject to uncertainties
Consider uncertainties about …
- Consider uncertainties about:
o Revenue and cost estimates
o Interpreting results
o Relevant range of operations
o Feasibility of activity level
CVP analysis assumes that …
CVP analysis assumes that costs and revenues are linear within a relevant range of
activity
Linear total revenue
selling prices/unit are constant, the sales mix does not change
Linear total costs
total fixed costs are constant and variable costs/unit are constant
Linear CVP analysis may be inappropriate if…
- Linear CVP analysis may be inappropriate if the linearity assumptions
hold only over small ranges of activity
o Nonlinear analysis techniques are available (e.g., regression analysis)