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Reselling Tools 1 min readUpdated Nov 7, 2026

How to Research Sold Comps Before You Buy

Asking prices are wishes. Sold prices are data. Here's a simple, repeatable way to look up what an item really sells for before you spend a dollar.

By FlipScout Team

Every good flip starts with one question: what do buyers actually pay for this? Not what sellers are asking, but what someone has paid. That number is called a sold comp (short for sold comparable).

Why asking prices mislead you

Active listings show what sellers hope to get. Many of those listings sit for months without selling. If you price your purchase decision off active listings, you will overpay regularly. Always filter for sold or completed results.

A 5-step comp routine

  • Identify the exact item. For cards: year, set, card number, parallel and grade. For thrift finds: brand, model number and condition.
  • Search sold listings. Start with eBay sold listings, then cross-check a second source such as 130point, PriceCharting or TCGplayer.
  • Match condition carefully. A raw card and a PSA 10 of the same card are different products. A tested electronic is not the same as an untested one.
  • Look at several recent sales. One sale can be an outlier. Look for a cluster of recent sales and note the range.
  • Write down your number before you buy. Decide your maximum purchase price based on the low end of the range, after fees and shipping.

Turn the comp into a buy decision

Once you have a realistic sale range, plug the low end into the FlipScout Profit Calculator with your marketplace fees and shipping costs. If the net profit still makes sense at the low end, it is a stronger buy.

Use free sources first

You do not need paid tools to start. FlipScout's Sold Comps Research page links you directly to free, reputable sources with your search term pre-filled. FlipScout never invents prices; we point you to where the real data lives.

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This guide is for general information and isn't financial advice. Market conditions change. Always verify with current sold data.

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