Onix [Reverse Holo] #109 — Pokémon Lost Thunder Card Value

Pokémon Lost Thunder

What the Onix [Reverse Holo] #109 card from Pokémon Lost Thunder is worth — ungraded and graded (PSA 10).

Onix [Reverse Holo] #109 value — Ungraded $3 · Grade 9 $16 · PSA 10 $42. Prices updated July 2026.

Set · Pokémon Lost ThunderGame · Pokémon
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Value by grade
$3
Ungraded
5.3×
$16
Grade 9
14.0×
$42
PSA 10

Real sold prices per grade — the PSA 10 premium on this card is 14.0× raw.

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Which version do you have?

To simply own Onix #109, purchase the Standard version for $1. The Reverse Holo version at $3 offers a slight upgrade in visual appeal, representing a minor difference in printing rather than significant scarcity or packaging. Collectors prioritizing budget should stick to the Standard. Those willing to spend the extra two dollars for the Reverse Holo are paying for a more visually appealing, slightly rarer print run.

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Item details

Brand
Pokémon
Set
Pokémon Lost Thunder
Game
Pokémon

Onix [Reverse Holo] #109 (Pokémon Lost Thunder) card value

An ungraded Onix [Reverse Holo] #109 from Pokémon Lost Thunder averages around $3. A Grade 9 copy runs about $16, and a PSA 10 gem-mint commands $42.

What drives the price

Centering, corners, edges, and surface decide a card's grade — and the grade decides the price. The jump from raw to PSA 10 can be 5–20×, so condition is everything. Holos, first editions, and shadowless prints carry the biggest premiums.

Price guide

Sold values by grade vs. what sellers ask today

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ConditionValueBased on
Ungraded$3eBay sold comps
Grade 9$16eBay sold comps
PSA 10$42eBay sold comps

Frequently asked questions

What is the current ungraded value for Onix #109?
The ungraded value for Onix [Reverse Holo] #109 from the Lost Thunder set is listed at $XX.
How much is a PSA 10 copy of this card worth?
A graded PSA 10 copy of Onix [Reverse Holo] #109 sells for $42.
Which condition offers the best return on investment?
For the highest return, a PSA 10 grade is ideal, though ungraded options are available for lower entry points.

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