Calculate estimated Amazon FBA profit per unit after referral fees, fulfillment charges, storage, inbound shipping, PPC, product cost, and returns. Use it to judge pricing and inventory risk before scaling.
Enter your selling price, product cost, referral fee rate, and combined FBA fulfillment, PPC, storage, inbound shipping, and expected return cost.
The result shows unit profit, Amazon fee impact, margin, and a monthly projection at 100 units.
A healthy FBA product should leave enough margin after Amazon fees and PPC to absorb storage delays, return losses, and pricing pressure.
Use actual category referral fees and fulfillment fees when available. This tool is a planning estimate, not an Amazon statement replacement.
A $50 product with $18 cost, 15% referral fee, and $12 combined FBA/PPC/storage cost leaves about $12.50 profit per unit, or 25% margin.
Profit per FBA sale equals selling price minus product cost, referral fee, fulfillment fee, storage, inbound shipping, PPC, and expected return costs.
Referral fees reduce each sale by a category-based percentage, so a 15% fee on a $50 product costs $7.50 before fulfillment and other expenses.
Many sellers aim for at least 20% net margin after FBA fees and PPC. Below 10% is risky because returns, storage, and ad volatility can erase profit.
PPC should be evaluated against margin and contribution profit. If ad cost consumes most of the gross margin, the product may not scale profitably.
Reduce size and weight, improve inventory turnover, optimize packaging, lower return rates, and avoid products where referral and fulfillment fees consume margin.
| Module | Purpose |
|---|---|
| Net Profit | Supports ecommerce decision-making and result interpretation. |
| Amazon Fee Breakdown | Supports ecommerce decision-making and result interpretation. |
| PPC Impact | Supports ecommerce decision-making and result interpretation. |
| Storage Risk | Supports ecommerce decision-making and result interpretation. |
| Monthly Projection | Supports ecommerce decision-making and result interpretation. |
| Recommendations | Supports ecommerce decision-making and result interpretation. |