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Business & eCommerceGenerated accuracy model review: 2026-05-06
Markup Calculator accuracy and testing
This page documents how Calwarden builds trust for this calculator: source notes, regression-style default tests, limitations, assumptions, unit handling, rounding, and visible change history.
Formula source
- The formula for Selling Price based on Markup is: **Selling Price = Cost × (1 + Markup%)** For example, if cost is $100 and markup is 25%, Price = $100 × 1.25 = $125.
Test cases
Default input regression check
Generated from the checked-in default inputs and calculate function.
Inputs
- Cost: $40
- Markup Percentage: 50%
Expected outputs
- Selling Price: $60.00
- Gross Profit: $20.00
- Resulting Margin: 33.33%
Known limitations
- This page documents the checked-in calculator logic and does not certify results for every real-world edge case.
- Use the result as a planning estimate unless the calculator page states a stricter purpose.
Assumptions
- This calculator applies a single markup percentage to the entered cost.
- The result is a pre-tax selling price; shipping, sales tax, and channel fees must be handled separately if needed.
- Markup values at or below -100% create a zero or negative selling price and are treated as invalid.
Unit handling
- Cost accepts values in $.
- Markup Percentage accepts values in %.
- Selling Price is displayed as currency.
- Gross Profit is displayed as currency.
- Resulting Margin is displayed as a percentage.
Rounding rules
- Number displays use up to 2 decimal places in the calculator UI.
- Currency outputs are displayed with standard US dollar formatting.
- Percent outputs are displayed with two decimal places.
Version history
1.0.0 - 2026-05-06
Generated accuracy and testing page from the current markup-calculator calculator definition.
Change log
2026-05-06
Published default regression test documentation and metadata fallbacks for Markup Calculator.
Calculator transparency
Accuracy pages are generated from checked-in calculator definitions and can be upgraded with curated review metadata over time.