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Nagahide Pants

RareLeather
Open in the auction house

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Price

Last scan Oct 25, 2026, 00:00 UTC

Last seen price on Exodar (EU)

172,051g 91s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
172,051g 91s 0c
Listings at that scan
2
  • Regional auction data, hourly
  • 146 scans
How prices are measured
  • Nagahide Pants
  • Item Level: 30
  • Binds when equipped
  • LegsLeather
  • Required Level: 25
  • Sell price: 52g 17s 87c
Sources: dropped by 1 source

Sources

  • Drops from 1 source.

Dropped by, 1 source

  • Coilfang Emissary24.11% drop chance

Most sources come from published game data.

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Market

Exodar (EU)

Price History

Exodar (EU)
Low
172,051g 90s 0c
Average
172,051g 90s 99c
High
172,051g 91s 0c
Samples
146
The 7-day average needs at least a week of history; pick a wider range than 1D.Show the 7-day average market price
Price history for Nagahide Pants, 1 week, Exodar (EU)
Time (UTC)Lowest buyoutAverageQuantity
Mar 1, 00172,052g172,052g2
Mar 2, 00172,052g172,052g2
Mar 3, 00172,052g172,052g2
Mar 4, 00172,052g172,052g2
Mar 7, 00172,052g172,052g1
Mar 8, 00172,052g172,052g1
Mar 9, 00172,052g172,052g1
Mar 10, 00172,052g172,052g1
Mar 11, 00172,052g172,052g2
Mar 12, 00172,052g172,052g2
Mar 13, 00172,052g172,052g2
Mar 15, 00172,052g172,052g2
Mar 17, 00172,052g172,052g1
Mar 18, 00172,052g172,052g2
Mar 19, 00172,052g172,052g2
Mar 23, 00172,052g172,052g2
Mar 30, 00172,052g172,052g1
Apr 2, 00172,052g172,052g1
Apr 10, 00172,052g172,052g1
Apr 11, 00172,052g172,052g1
Apr 12, 00172,052g172,052g2
Apr 13, 00172,052g172,052g2
Apr 14, 00172,052g172,052g2
Apr 15, 00172,052g172,052g2
Apr 16, 00172,052g172,052g3
Apr 17, 00172,052g172,052g3
Apr 18, 00172,052g172,052g2
Apr 19, 00172,052g172,052g2
Apr 20, 00172,052g172,052g2
Apr 21, 00172,052g172,052g2
Apr 22, 00172,052g172,052g2
Apr 23, 00172,052g172,052g2
Apr 24, 00172,052g172,052g2
Apr 25, 00172,052g172,052g2
Apr 26, 00172,052g172,052g2
Apr 27, 00172,052g172,052g2
Apr 28, 00172,052g172,052g2
Apr 29, 00172,052g172,052g2
Apr 30, 00172,052g172,052g2
May 1, 00172,052g172,052g2
May 2, 00172,052g172,052g2
May 3, 00172,052g172,052g2
May 4, 00172,052g172,052g2
May 5, 00172,052g172,052g2
May 6, 00172,052g172,052g2
May 7, 00172,052g172,052g2
May 8, 00172,052g172,052g2
May 9, 00172,052g172,052g2
May 10, 00172,052g172,052g2
May 11, 00172,052g172,052g2
May 12, 00172,052g172,052g2
May 13, 00172,052g172,052g2
May 14, 00172,052g172,052g2
May 15, 00172,052g172,052g2
May 16, 00172,052g172,052g2
May 17, 00172,052g172,052g2
May 18, 00172,052g172,052g2
May 19, 00172,052g172,052g2
May 20, 00172,052g172,052g2
May 21, 00172,052g172,052g2
May 22, 00172,052g172,052g2
May 23, 00172,052g172,052g2
May 24, 00172,052g172,052g2
May 25, 00172,052g172,052g2
May 26, 00172,052g172,052g2
May 27, 00172,052g172,052g2
May 28, 00172,052g172,052g2
May 29, 00172,052g172,052g2
May 30, 00172,052g172,052g2
May 31, 00172,052g172,052g2
Jun 1, 00172,052g172,052g2
Jun 2, 00172,052g172,052g2
Jun 3, 00172,052g172,052g2
Jun 4, 00172,052g172,052g2
Jun 5, 00172,052g172,052g2
Jun 6, 00172,052g172,052g2
Jun 7, 00172,052g172,052g2
Jun 8, 00172,052g172,052g2
Jun 9, 00172,052g172,052g2
Jun 10, 00172,052g172,052g2
Jun 11, 00172,052g172,052g2
Jun 12, 00172,052g172,052g2
Jun 13, 00172,052g172,052g2
Jun 14, 00172,052g172,052g2
Jun 15, 00172,052g172,052g2
Jun 17, 00172,052g172,052g2
Jun 18, 00172,052g172,052g2
Jun 19, 00172,052g172,052g2
Jun 20, 00172,052g172,052g2
Jun 21, 00172,052g172,052g2
Jun 22, 00172,052g172,052g2
Jun 23, 00172,052g172,052g2
Jun 24, 00172,052g172,052g2
Jun 25, 00172,052g172,052g2
Jun 26, 00172,052g172,052g2
Jun 30, 00172,052g172,052g2
Jul 1, 00172,052g172,052g2
Jul 2, 00172,052g172,052g2
Jul 3, 00172,052g172,052g2
Jul 4, 00172,052g172,052g2
Jul 5, 00172,052g172,052g2
Jul 6, 00172,052g172,052g2
Jul 7, 00172,052g172,052g2
Jul 15, 00172,052g172,052g2
Jul 16, 00172,052g172,052g2
Jul 17, 00172,052g172,052g2
Aug 1, 00172,052g172,052g2
Aug 2, 00172,052g172,052g2
Aug 3, 00172,052g172,052g2
Aug 29, 00172,052g172,052g2
Aug 30, 00172,052g172,052g2
Aug 31, 00172,052g172,052g2
Sep 1, 00172,052g172,052g2
Sep 2, 00172,052g172,052g2
Sep 3, 00172,052g172,052g2
Sep 4, 00172,052g172,052g2
Sep 5, 00172,052g172,052g2
Sep 6, 00172,052g172,052g2
Sep 7, 00172,052g172,052g2
Sep 8, 00172,052g172,052g2
Sep 9, 00172,052g172,052g2
Sep 10, 00172,052g172,052g2
Sep 11, 00172,052g172,052g2
Sep 12, 00172,052g172,052g2
Sep 13, 00172,052g172,052g2
Sep 14, 00172,052g172,052g2
Sep 15, 00172,052g172,052g2
Sep 16, 00172,052g172,052g2
Sep 17, 00172,052g172,052g2
Sep 18, 00172,052g172,052g2
Sep 19, 00172,052g172,052g2
Sep 20, 00172,052g172,052g2
Sep 21, 00172,052g172,052g2
Sep 22, 00172,052g172,052g2
Sep 23, 00172,052g172,052g2
Sep 24, 00172,052g172,052g2
Sep 25, 00172,052g172,052g2
Oct 8, 00172,052g172,052g2
Oct 9, 00172,052g172,052g2
Oct 10, 00172,052g172,052g2
Oct 14, 00172,052g172,052g2
Oct 15, 00172,052g172,052g2
Oct 16, 00172,052g172,052g2
Oct 23, 00172,052g172,052g2
Oct 24, 00172,052g172,052g2
Oct 25, 00172,052g172,052g2
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Nagahide Pants
Day (UTC)AverageUnits listed
Oct 25172,051g 91s 0c2
Oct 24172,051g 91s 0c2
Oct 23172,051g 91s 0c2
Oct 16172,051g 91s 0c2
Oct 15172,051g 91s 0c2
Oct 14172,051g 91s 0c2
Oct 10172,051g 91s 0c2
Oct 9172,051g 91s 0c2
Oct 8172,051g 91s 0c2
Sep 25172,051g 91s 0c2
Sep 24172,051g 91s 0c2
Sep 23172,051g 91s 0c2
Sep 22172,051g 91s 0c2
Sep 21172,051g 91s 0c2
Sep 20172,051g 91s 0c2
Sep 19172,051g 91s 0c2
Sep 18172,051g 91s 0c2
Sep 17172,051g 91s 0c2
Sep 16172,051g 91s 0c2
Sep 15172,051g 91s 0c2
Sep 14172,051g 91s 0c2
Sep 13172,051g 91s 0c2
Sep 12172,051g 91s 0c2
Sep 11172,051g 91s 0c2
Sep 10172,051g 91s 0c2
Sep 9172,051g 91s 0c2
Sep 8172,051g 91s 0c2
Sep 7172,051g 91s 0c2
Sep 6172,051g 91s 0c2
Sep 5172,051g 91s 0c2

Sparse data for 1 week: showing all available history.

Trading hours: the cheaper and dearer hours of the week, in UTC

Trading Hours

See when Nagahide Pants tends to trade below or above its usual price, based on the last 30 days.

The grid follows the auction week in UTC.

Loading trading hours
Cheaper than usualTypicalMore expensive than usualLimited data