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Auto detailing Monthly Cash Projection

Model a constant monthly cash movement over an entered horizon.

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Auto detailing / detail package economics

Auto detailing Monthly Cash Projection

Your result29,000

25,00016,00027,00018,00029,00020,00031,00022,00033,00024,000Opening cash
Other inputs stay fixed. Point labels show the calculated result; this is a scenario comparison.

Ending cash = opening cash + months × (receipts − payments)

What you’ll need

Gather repair orders, parts invoices and technician time logs. Include consumables, technician hours, and bay occupancy. The starting figures are examples. Replace them with your own records.

Formula and worked example

Ending cash = opening cash + months × (receipts − payments)

Example figures
InputExample
Opening cash20,000
Expected cash receipts15,000
Expected cash payments12,000
Projection horizon3 months
Calculated result29,000

Choose reliable inputs

Separate parts, technician time and bay availability for each repair order. For this auto detailing calculation, use repair orders, parts invoices and technician time logs and a consistent definition of one detail package.

  • Consumables: include the portion belonging to this detail package or reporting period, and record where the value came from.
  • Technician hours: include the portion belonging to this detail package or reporting period, and record where the value came from.
  • Bay occupancy: include the portion belonging to this detail package 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.

Why can the ending balance miss a cash shortfall?

Payments may occur before receipts. Check a weekly cash schedule even when the month ends with positive cash.

This linear estimate excludes within-month timing and changing seasonal cash flows.

Compare a different assumption

What if this input changes?

If opening cash rises by 10%, this example changes by 2,000 . 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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