- Use one consistent period. Fixed costs and available capacity must cover the same day, week, month, or other period.
- Enter fixed costs. Include costs that do not change directly with each occupied service capacity unit within the scenario.
- Enter average revenue per occupied unit. Use a realistic blended revenue figure for one sold or utilized service capacity unit.
- Enter variable cost per occupied unit. Include costs that rise with each occupied unit; this value must be below revenue per unit.
- Enter available units. Count the total service capacity unit capacity that could be sold or utilized during the selected period.
- Read the break-even occupancy. A result above 100% means the modeled cost and margin assumptions cannot break even within the entered capacity.
Food Truck Occupancy Break-Even Point Calculator
The Food Truck Occupancy Break-Even Point Calculator estimates how much of available operating capacity must be sold or utilized to cover fixed costs under a simple contribution-margin model. It converts fixed costs into a required number of occupied service capacity unit, then expresses that requirement as a percentage of the capacity available during the same period.
The calculator is useful for capacity planning, pricing scenarios, and checking whether a service period has enough demand potential to cover modeled fixed expenses. It assumes a stable average revenue and variable cost per occupied service capacity unit; businesses with several products, channels, or sharply different margins should use a weighted average or run separate scenarios.
Inputs
Formula:
Contribution margin per occupied unit = Revenue per unit − Variable cost per unit Break-even occupied units = Fixed costs ÷ Contribution margin per occupied unit Break-even occupancy % = Break-even occupied units ÷ Available units × 100An occupied unit means one sold or utilized service capacity unit in the capacity model. All values must use the same period. This is a linear break-even model: it assumes average revenue and variable cost per occupied unit remain constant across the relevant capacity range.
What the result means
Use the main result together with the supporting metrics and the assumptions entered above. Compare periods only when the input definitions are consistent.
This calculator is a planning aid and does not replace accounting records or business-specific professional advice.
Given: Fixed costs of $3,100, average revenue of $24.00 per occupied unit, variable cost of $9.50 per occupied unit, and 260 available units.
Calculation: Contribution margin = $24.00 − $9.50 = $14.50 per unit. Break-even occupied units = $3,100 ÷ $14.50 = 213.8. Break-even occupancy = 213.8 ÷ 260 × 100 = 82.2%.
Result: The operation needs about 213.8 occupied units, equal to 82.2% of entered capacity, to cover the modeled fixed costs. The estimate excludes any costs not included in fixed or variable inputs.
What counts as an occupied unit?
Use one sold or utilized service capacity unit that matches how you measure capacity. The definition must be consistent for revenue per unit, variable cost per unit, and available units.
What does a break-even occupancy above 100% mean?
Under the entered assumptions, available capacity is not enough to cover fixed costs. You would need a higher contribution margin, lower fixed costs, more capacity, or another source of contribution.
Should labor be fixed or variable?
It depends on the staffing structure and time horizon. Guaranteed staffing for the period may behave like a fixed cost, while labor added directly with volume may be modeled as variable; avoid counting the same labor in both places.
Can I use an average selling price when prices vary?
Yes, if the average reasonably reflects the expected sales mix. When margins differ substantially, use a contribution-weighted average or run separate scenarios.
How is this different from a revenue break-even calculator?
This version expresses break-even demand as a share of available capacity. A revenue break-even calculation may stop at required sales dollars and does not necessarily show whether capacity can support that sales level.