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Business & eCommerceGenerated accuracy model review: 2026-05-06

SaaS MRR 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

  • Base MRR = customers * ARPA. Net new MRR = new + expansion - contraction - churned. Ending MRR = base MRR + net new MRR.

Test cases

Default input regression check

Generated from the checked-in default inputs and calculate function.

Inputs

  • Customers: 500
  • ARPA: 49 $/mo
  • New MRR: $6,000
  • Expansion MRR: $2,000
  • Contraction MRR: $1,000
  • Churned MRR: $3,000

Expected outputs

  • Ending MRR: $28,500.00
  • ARR: $342,000.00
  • Base MRR: $24,500.00
  • Net New MRR: $4,000.00

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

  • Rates are user-entered planning assumptions.
  • The estimate does not replace accounting, tax, payroll, legal, or marketplace-specific guidance.
  • Inputs are processed locally in the browser.

Unit handling

  • Customers accepts numeric values.
  • ARPA accepts values in $/mo.
  • New MRR accepts values in $.
  • Expansion MRR accepts values in $.
  • Contraction MRR accepts values in $.
  • Churned MRR accepts values in $.
  • Ending MRR is displayed as currency.
  • ARR is displayed as currency.
  • Base MRR is displayed as currency.
  • Net New MRR is displayed as currency.

Rounding rules

  • Number displays use up to 2 decimal places in the calculator UI.
  • Currency outputs are displayed with standard US dollar formatting.
  • Input precision follows configured step values where provided.

Version history

1.0.0 - 2026-05-06

Generated accuracy and testing page from the current saas-mrr-calculator calculator definition.

Change log

2026-05-06

Published default regression test documentation and metadata fallbacks for SaaS MRR Calculator.

Calculator transparency

Accuracy pages are generated from checked-in calculator definitions and can be upgraded with curated review metadata over time.

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