Electronics Manufacturing calculator

Boards Per Panel Calculator

Boards per panel is one of the first numbers an estimator needs for bare PCB and assembly costing. This calculator uses candidate board images, the number of production panels represented, and expected usable panel yield to estimate effective board images per panel.

What this calculator does

  • Estimate effective boards per manufacturing panel after panel count basis and usable panel yield are applied.
  • a PCB estimator needs a board-per-panel assumption for quoting or supplier comparison
  • Returns an effective boards-per-panel value for cost, capacity, or material planning.

Formula used

  • Candidate boards per panel = candidate board images ÷ production panels represented
  • Effective boards per panel = candidate boards per panel × usable panel yield

Inputs explained

  • Candidate board images: Count all board images included in the CAM panel layouts being averaged.
  • Production panels represented: Use 1 for a single panel design, or the number of panels in the sample or quote average.
  • Usable panel yield: Account for blocked cavities, coupons, panel scrap, or expected unusable images.

How to use the result

  • Use it when comparing panel designs, costing a new PCB, or converting panel pricing to board pricing.
  • It assumes the candidate panel arrangement is manufacturable; confirm rails, coupons, depanel method, and assembly fixture requirements separately.

Common questions

  • What does the boards per panel calculator tell me? It estimates usable board images per production panel after yield or blocked-image allowance.
  • Which numbers should I enter? Use CAM image counts, number of panels represented, and expected usable yield for the same panel design.
  • How should I use the result? Use the result to convert panel cost to board cost, estimate panel starts, and compare alternative panel layouts.
  • When is this only an estimate? Treat it as a planning estimate when product mix, setup time, operator assist time, feeder readiness, inspection disposition, test escapes, scrap, or supplier yield differs from the data used for the inputs.

Last reviewed 2026-05-12.