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Junk removal Service Volume Break-Even

Estimate the completed sales needed to cover a fixed cost base.

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Junk removal / collection economics

Junk removal Service Volume Break-Even

Your result40 sales per month

326,400367,200408,000448,800499,600Monthly fixed costs
Other inputs stay fixed. Point labels show the calculated result in sales per month; this is a scenario comparison.

Break-even sales = ceiling(fixed costs / (price − variable cost))

What you’ll need

Gather a completed job sheet, supplier quotes and a crew schedule. Include disposal fees, loading time, and vehicle cost. The starting figures are examples. Replace them with your own records.

Formula and worked example

Break-even sales = ceiling(fixed costs / (price − variable cost))

Example figures
InputExample
Monthly fixed costs8,000
Average price per collection500
Variable cost per collection300
Calculated result40 sales per month

Choose reliable inputs

Plan materials, travel and crew time before committing to a price. For this junk removal calculation, use a completed job sheet, supplier quotes and a crew schedule and a consistent definition of one collection.

  • Disposal fees: include the portion belonging to this collection or reporting period, and record where the value came from.
  • Loading time: include the portion belonging to this collection or reporting period, and record where the value came from.
  • Vehicle cost: include the portion belonging to this collection or reporting period, and record where the value came from.

Use the same currency for every money input. Do not mix weekly costs with monthly revenue, or count the same expense in both an itemised cost and allocated overhead.

Should I count booked jobs or completed paid sales?

Use the delivery and revenue definition matching your cost period. Bookings can cancel and do not automatically produce cash.

Assumes stable average price and variable cost; multiple service mixes need separate analysis.

Compare a different assumption

What if this input changes?

If monthly fixed costs rises by 10%, this example changes by 4 sales per month. This shows the effect of one change; it does not predict what will happen.

Open the calculator, save your baseline, then change the input supported by the least reliable estimate in your records. Compare both scenarios before committing to a price or capacity promise.

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