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Fleet maintenance Two-Service Sales Mix Margin: worked example

Check how the mix of two services changes total contribution margin.

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Fleet maintenance / maintenance visit economics
Answer

With the illustrative inputs below, the result is 40 %.

Try this with your own numbers

Formula and worked example

Combined margin = (total revenue − total variable cost) / total revenue × 100

Example figures
InputExample
Revenue from service A12,000
Variable cost of service A6,000
Revenue from service B8,000
Variable cost of service B6,000
Calculated result40 %

Illustrative example: $20 profit on a $100 sale is a 20% margin; compared with $80 cost, it is a 25% markup.
Illustrative example: $20 profit on a $100 sale is a 20% margin; compared with $80 cost, it is a 25% markup.

Choose reliable inputs

Separate parts, technician time and bay availability for each repair order. For this fleet maintenance calculation, use repair orders, parts invoices and technician time logs and a consistent definition of one maintenance visit.

  • Parts: include the portion belonging to this maintenance visit or reporting period, and record where the value came from.
  • Technician hours: include the portion belonging to this maintenance visit or reporting period, and record where the value came from.
  • Scheduling overhead: include the portion belonging to this maintenance 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.

Can I average the two margin percentages?

Weight by revenue; a simple average gives the smaller service too much influence. Fixed overhead is excluded.

Compare a different assumption

What if this input changes?

If revenue from service a rises by 10%, this example changes by 3.3962 %. 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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