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Plumbing service Receivable Collection Days

Estimate days of credit sales represented by average receivables.

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Plumbing service / service visit economics

Plumbing service Receivable Collection Days

Your result18 days

14.416,00016.218,0001820,00019.822,00021.624,000Average trade receivables
Other inputs stay fixed. Point labels show the calculated result in days; this is a scenario comparison.

Collection days = receivables / credit sales × period days

What you’ll need

Gather a completed job sheet, supplier quotes and a crew schedule. Include fittings, access time, and travel. The starting figures are examples. Replace them with your own records.

Formula and worked example

Collection days = receivables / credit sales × period days

Example figures
InputExample
Average trade receivables20,000
Credit sales in period100,000
Days in period90 days
Calculated result18 days

Choose reliable inputs

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

  • Fittings: include the portion belonging to this service visit or reporting period, and record where the value came from.
  • Access time: include the portion belonging to this service visit or reporting period, and record where the value came from.
  • Travel: include the portion belonging to this service 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.

Should cash sales be in this denominator?

Cash sales do not create trade receivables. Including them can make collection time look artificially short.

Use credit sales and average receivables from the same accounting period.

Compare a different assumption

What if this input changes?

If average trade receivables rises by 10%, this example changes by 1.8 days. 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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