2000 Topps Movie First Appearance

Complete 2000 Topps Movie First Appearance Card List & Investment Guide

Released: June 01, 2000
Total Cards
6
Total Value
$1840.99
Current market prices
Most Valuable
$1009.00
Lugia
Market Activity
44
Total recent sales

2000 Topps Movie First Appearance Card List & Investment Insights

This complete 2000 Topps Movie First Appearance card list provides up-to-date market values for all 6 cards in the set. Released on June 01, 2000, this set has a total current market value of $1840.99.

Top 2000 Topps Movie First Appearance Cards by Value

The most valuable cards in the 2000 Topps Movie First Appearance set include:

  • 1 Lugia
    $1009.00 9 sales
  • 2 Slowking
    $233.75 7 sales
  • 3 Elekid
    $185.99 6 sales
  • 4 Bellossom
    $145.00 7 sales
  • 5 Ledyba
    $141.75 9 sales
  • 6 Hoothoot
    $125.50 6 sales

Frequently Asked Questions

How many cards are in the 2000 Topps Movie First Appearance set?

The 2000 Topps Movie First Appearance set contains 6 cards in total.

What is the most valuable card in 2000 Topps Movie First Appearance?

The most valuable card in the 2000 Topps Movie First Appearance set is Lugia at $1009.00.

Is 2000 Topps Movie First Appearance a good investment?

The 2000 Topps Movie First Appearance set contains 6 cards with a current market value of $1840.99. Investment potential depends on individual card rarity, condition, and market demand. Consider researching specific high-value cards and market trends before making investment decisions.

Investment Highlights from 2000 Topps Movie First Appearance

2000 Topps Movie First Appearance offers diverse investment opportunities across multiple rarity tiers and card types. This comprehensive price guide tracks live market values for all 2000 Topps Movie First Appearance cards, helping collectors and investors make data-driven decisions.

Use our free PSA grading calculator to evaluate which cards from 2000 Topps Movie First Appearance are worth professional authentication. Monitor price trends, compare raw vs graded values, and build a strategic collection based on real market data updated daily.