sparkl Open Sparkl

Pokémon TCG · Striking Competition · Simplified Chinese · #091

Arceus & Dialga & Palkia GX #091 (Simplified Chinese) price

Arceus & Dialga & Palkia GX #091 – Striking Competition

Arceus & Dialga & Palkia GX (#091, HR) is a card from the Simplified Chinese Pokémon set Striking Competition. Near Mint, it has a market price of about €29.95 on Cardmarket (updated August 26, 2026). Over the last 7 days, its Cardmarket price trend rose 0.0%. Over the last 30 days, its Cardmarket price trend rose 0.0%. It is the ninth most valuable card in the set.

–TCGplayer · Near Mint
€29.95Cardmarket price trend · Near Mint
+0.0%30-day change · Cardmarket
#9 of 42Value rank in the set

You are viewing the free public price page

Add Arceus & Dialga & Palkia GX to your collection

  • Scan it with your iPhone: set, number and finish are filled in for you
  • Follow its price on Cardmarket and TCGplayer, with the rest of your cards
  • See what your whole collection is worth

Free · iPhone and web · no credit card needed

A card's page in the Sparkl app

Arceus & Dialga & Palkia GX #091 prices by finish

FinishTCGplayerCardmarket
Normal–€29.95

Near Mint prices: Cardmarket price trend, updated August 26, 2026.

Price changes by finish

FinishPrice7 days30 days90 days90-day range
NormalCardmarket price trend+0.0%+0.0%––

Change of the same Near Mint price (same market, same finish) against 7, 30 and 90 days ago; range: its lowest and highest daily value over the last 90 days. Only where the price history supports a figure; lowest listings have none.

Price charts, graded prices from PSA, CGC, BGS, SGC, TAG and ACE, PSA population counts and recent sold listings are in Sparkl Pro.

About this card

Set
Striking Competition (Simplified Chinese)
Number
091
Rarity
HR
Finishes
Normal
Print language
Simplified Chinese

Other Arceus & Dialga & Palkia GX cards in Striking Competition

Most valuable Striking Competition cards

The 10 most valuable · See all 148 cards in Striking Competition

Sparkl · the free app for your collectionOpen Sparkl