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Appliance repair Monthly Cash Projection

Model a constant monthly cash movement over an entered horizon.

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Appliance repair / repair visit economics

Appliance repair 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 a completed job sheet, supplier quotes and a crew schedule. Include diagnostics, replacement parts, and repeat trips. 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

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

  • Diagnostics: include the portion belonging to this repair visit or reporting period, and record where the value came from.
  • Replacement parts: include the portion belonging to this repair visit or reporting period, and record where the value came from.
  • Repeat trips: include the portion belonging to this repair visit 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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