Japanese Storm Emeralda
Complete Japanese Storm Emeralda Card List & Investment Guide
Japanese Storm Emeralda Card List & Investment Insights
This complete Japanese Storm Emeralda card list provides up-to-date market values for all 113 cards in the set. Released on July 31, 2026, this set has a total current market value of $1801.88.
Top Japanese Storm Emeralda Cards by Value
The most valuable cards in the Japanese Storm Emeralda set include:
-
1 Mega Rayquaza ex #113$870.71 419 sales
-
2 Mega Rayquaza ex #110$423.37 3704 sales
-
3 Raikou ex #108$62.62 606 sales
-
4 Mega Rayquaza ex #95$44.00 522 sales
-
5 Zinnia's Trust #112$31.64 388 sales
-
6 Kyogre #80$17.00 813 sales
-
7 Kecleon #88$16.00 824 sales
-
8 Groudon #84$15.51 1212 sales
-
9 Mega Golisopod ex #107$14.50 435 sales
-
10 Mega Golurk ex #109$14.40 427 sales
Frequently Asked Questions
How many cards are in the Japanese Storm Emeralda set?
The Japanese Storm Emeralda set contains 113 cards in total.
What is the most valuable card in Japanese Storm Emeralda?
The most valuable card in the Japanese Storm Emeralda set is Mega Rayquaza ex #113 at $870.71.
Is Japanese Storm Emeralda a good investment?
The Japanese Storm Emeralda set contains 113 cards with a current market value of $1801.88. Investment potential depends on individual card rarity, condition, and market demand. Consider researching specific high-value cards and market trends before making investment decisions.
Track Japanese Storm Emeralda before English release
Premium: Get alerts when Korean/Japanese cards spike before US market reacts
Investment Highlights from Japanese Storm Emeralda
Japanese Storm Emeralda offers diverse investment opportunities across multiple rarity tiers and card types. This comprehensive price guide tracks live market values for all Japanese Storm Emeralda cards, helping collectors and investors make data-driven decisions.
Use our free PSA grading calculator to evaluate which cards from Japanese Storm Emeralda are worth professional authentication. Monitor price trends, compare raw vs graded values, and build a strategic collection based on real market data updated daily.
