Amazon Profit Calculator
Amazon Profit Calculator
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Calculate Amazon net profit and margin from your price, COGS, shipping, referral rate, FBA fees, and other costs. See a clear breakdown of fees and earnings. Validate product viability before listing.
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week
Automate Web Data Extraction with ThunderbitUse Thunderbit to scrape product pages, fees, and listings data fast with an AI-powered Chrome extension. Turn messy web content into structured tables and export in a few clicks.
Install fromChrome Web Store
Automate Web Data Extraction with Thunderbit
Collect product prices, titles, ratings, and seller details from websites, including subpages, PDFs, docs, and images. Thunderbit structures the results, then helps you summarize, categorize, and format fields for analysis.
Export your extracted tables to Google Sheets, Airtable, or Notion, or download as CSV or JSON. Use pagination and subpage scraping to scale research across many listings with minimal setup.
How to Calculate Amazon Profit Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionOpen the Thunderbit Chrome Extension, then select the "Amazon Profit Calculator" tool. In the "Calculate Amazon Profit" tab, choose your currency (USD, EUR, GBP, CAD, AUD, INR, or JPY). Enter numeric values for Selling price, Cost of goods (COGS), Shipping fees, Referral fee percent, FBA fees, and Other costs. Use per-unit amounts for every field so the net profit and margin are calculated correctly.
STEP 3Click the Calculate Profit ButtonClick the "Calculate Profit" button. Thunderbit will compute the referral fee amount, total costs, net profit, and profit margin, then display a line-item breakdown of each cost component with currency values rounded to 2 decimals and margin rounded to 2 decimals. Review the results, then copy the output or export it to your preferred destination such as Google Sheets, Excel, Airtable, or Notion.
Learn how to calculate Amazon product profit and margin per unit
Estimate net profit with a full cost breakdown
Amazon Profit Calculator helps Amazon sellers compute per-unit net profit by combining your selling price with key expenses like COGS, inbound shipping, FBA fees, and other costs. You also enter your referral fee percentage, and the tool calculates the referral fee amount for you. It’s built for sellers and operators who need a quick, consistent way to validate profitability before launching or reordering.
Compare scenarios by adjusting fees and inputs
Use the same product and test different assumptions, such as higher ad spend, changing shipping rates, or a new selling price. By recalculating profit margin and total costs each time, you can see which levers matter most and where your break-even point sits. This is useful for ecommerce teams deciding between FBA vs. alternative fulfillment, or evaluating whether a discount will still keep margins healthy.
Validate product opportunities before sourcing inventory
When researching new products, plug in your expected selling price, supplier quote, freight estimate, and typical Amazon fees to see projected net profit and margin. The line-item breakdown makes it easier to spot hidden cost drivers, such as referral fees or fulfillment costs, before you commit to a purchase order. This workflow fits private label sellers, wholesale resellers, and agencies building profitability models for clients.
Monitor margin impact during pricing and ad changes
As your listing price changes or your per-unit ad and prep costs shift, rerun the calculator to quantify how much margin you gain or lose. The output includes net profit, profit margin, total costs, and the referral fee amount, all rounded for reporting. This supports weekly business reviews, promotion planning, and reorder decisions where small cost changes can materially affect profitability.
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What users say about Thunderbit
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Frequently Asked Questions
Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week