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Edition

Stitched Leather Pants

CommonLeather
Open in the auction house

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Price

Last scan Sep 22, 2026, 00:00 UTC

Last seen price on Deathwing (EU)

1,229,063g 0s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
1,229,063g 0s 0c
Listings at that scan
1
  • Regional auction data, hourly
  • 139 scans
How prices are measured
  • Stitched Leather Pants
  • Item Level: 5
  • Binds when equipped
  • LegsLeather
  • Required Level: 8
  • Sell price: 1s 35c
Sources: none recorded

Sources

No source is recorded for Stitched Leather Pants.Crafted, vendor, drop and quest sources appear here when the catalogue lists one.

Most sources come from published game data.

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Market

Deathwing (EU)

Price History

Deathwing (EU)
Low
5,000g 1s 0c
Average
672,972g 88s 5c
High
1,229,063g 0s 0c
Samples
139
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 Stitched Leather Pants, 1 week, Deathwing (EU)
Time (UTC)Lowest buyoutAverageQuantity
Mar 1, 00198,412g198,412g1
Mar 2, 00198,412g198,768g1
Mar 3, 00199,362g199,362g1
Mar 4, 00199,362g199,362g1
Mar 7, 00213,924g213,924g1
Mar 8, 00213,924g213,924g1
Mar 15, 00247,615g247,615g1
Mar 16, 00247,615g247,615g1
Mar 18, 00248,022g248,022g1
Mar 19, 00248,022g248,022g1
Mar 31, 00302,518g302,518g1
Apr 8, 00323,033g339,290g1
Apr 9, 00342,541g342,541g1
Apr 10, 00342,541g343,539g1
Apr 11, 00345,035g345,035g1
Apr 12, 00345,035g345,035g1
Apr 14, 00365,842g365,842g1
Apr 15, 00365,842g365,842g1
Apr 16, 00365,842g366,169g1
Apr 17, 00367,148g367,148g1
Apr 18, 00367,148g369,684g1
Apr 19, 00387,432g387,432g1
Apr 20, 00387,432g387,716g1
Apr 21, 00389,700g389,700g1
Apr 22, 00389,700g389,700g1
Apr 24, 00410,909g410,909g1
Apr 25, 00410,909g410,909g1
Apr 26, 00410,909g411,309g1
Apr 27, 00411,910g411,910g1
Apr 28, 00411,910g415,183g1
Apr 29, 00434,820g434,820g1
Apr 30, 00434,820g434,820g1
May 1, 005,000g241,710g1
May 2, 00410,788g410,788g1
May 3, 00399,447g406,252g1
May 4, 00399,447g399,447g1
May 5, 00399,447g405,782g1
May 6, 00418,452g418,452g1
May 7, 00418,452g418,452g1
May 8, 00432,030g432,030g1
May 9, 00432,030g432,030g1
May 10, 00432,030g437,753g1
May 11, 00443,476g443,476g1
May 12, 00443,476g447,569g1
May 13, 00457,800g457,800g1
May 14, 00457,800g457,800g1
May 15, 00475,219g475,219g1
May 16, 00475,219g475,219g1
May 17, 00475,219g475,219g1
May 20, 00491,085g491,085g1
May 21, 00491,085g491,085g1
May 22, 00491,085g497,736g1
May 23, 00511,038g511,038g1
May 24, 00511,038g511,038g1
May 25, 00528,902g528,902g1
May 26, 00528,902g528,902g1
May 27, 00550,690g550,690g1
May 28, 00550,690g550,690g1
May 29, 00550,690g550,690g1
May 30, 00569,486g569,486g1
May 31, 00569,486g569,486g1
Jun 1, 00590,357g590,357g1
Jun 2, 00590,357g590,357g1
Jun 3, 00590,357g590,357g1
Jun 4, 00611,764g611,764g1
Jun 5, 00611,764g611,764g1
Jun 6, 00611,764g611,764g1
Jun 7, 00633,582g633,582g1
Jun 8, 00633,582g633,582g1
Jun 9, 00633,582g633,582g1
Jun 10, 00656,436g656,436g1
Jun 11, 00656,436g656,436g1
Jun 12, 00656,436g666,528g1
Jun 13, 00676,619g676,619g1
Jun 14, 00676,619g684,346g1
Jun 15, 00694,649g694,649g1
Jun 16, 00694,649g700,127g1
Jun 17, 00713,821g713,821g1
Jun 18, 00713,821g713,821g1
Jun 21, 00739,476g739,476g1
Jun 22, 00739,476g739,476g1
Jun 23, 00739,476g739,476g1
Jun 24, 00741,148g741,148g1
Jun 25, 00741,148g741,148g1
Jun 26, 00741,148g741,148g1
Jun 27, 00782,220g782,220g1
Jun 28, 00782,220g782,220g1
Jun 29, 00782,220g782,431g1
Jun 30, 00783,697g783,697g1
Jul 1, 00783,697g783,697g1
Jul 2, 00820,139g820,139g1
Jul 3, 00820,139g820,139g1
Jul 4, 00820,139g820,139g1
Jul 5, 00823,335g823,335g1
Jul 6, 00823,335g823,335g1
Jul 7, 00823,335g823,335g1
Jul 8, 00862,251g862,251g1
Jul 9, 00862,251g862,251g1
Jul 10, 00862,251g862,251g1
Jul 11, 00864,669g864,669g1
Jul 12, 00864,669g864,669g1
Jul 13, 00864,669g878,448g1
Jul 14, 00906,007g906,007g1
Jul 15, 00906,007g906,007g1
Jul 17, 00911,490g911,490g1
Jul 18, 00911,490g911,490g1
Jul 19, 00911,490g911,490g1
Jul 20, 00955,446g955,446g1
Jul 21, 00955,446g955,446g1
Jul 22, 00955,446g955,446g1
Aug 25, 00911,490g911,490g1
Aug 26, 00911,490g911,490g1
Aug 27, 00911,490g928,379g1
Aug 28, 00966,379g966,379g1
Aug 29, 00966,379g972,507g1
Aug 30, 00997,017g997,017g1
Aug 31, 00997,017g1,000,615g1
Sep 1, 001,025,803g1,025,803g1
Sep 2, 001,025,803g1,025,803g1
Sep 3, 001,058,210g1,058,210g1
Sep 4, 001,058,210g1,058,210g1
Sep 5, 001,058,210g1,066,461g1
Sep 6, 001,082,964g1,082,964g1
Sep 7, 001,082,964g1,089,661g1
Sep 8, 001,109,753g1,109,753g1
Sep 9, 001,109,753g1,115,851g1
Sep 10, 001,137,192g1,137,192g1
Sep 11, 001,137,192g1,137,192g1
Sep 12, 001,172,804g1,172,804g1
Sep 13, 001,172,804g1,172,804g1
Sep 14, 001,172,804g1,174,173g1
Sep 15, 001,176,910g1,176,910g1
Sep 16, 001,176,910g1,176,910g1
Sep 17, 001,228,584g1,228,584g1
Sep 18, 001,228,584g1,228,584g1
Sep 19, 001,228,584g1,228,584g1
Sep 20, 001,229,063g1,229,063g1
Sep 21, 001,229,063g1,229,063g1
Sep 22, 001,229,063g1,229,063g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Stitched Leather Pants
Day (UTC)AverageUnits listed
Sep 221,229,063g 0s 0c1
Sep 211,229,063g 0s 0c1
Sep 201,229,063g 0s 0c1
Sep 191,228,584g 0s 0c1
Sep 181,228,584g 0s 0c1
Sep 171,228,584g 0s 0c1
Sep 161,176,910g 0s 0c1
Sep 151,176,910g 0s 0c1
Sep 141,174,172g 66s 67c1
Sep 131,172,804g 0s 0c1
Sep 121,172,804g 0s 0c1
Sep 111,137,192g 0s 0c1
Sep 101,137,192g 0s 0c1
Sep 91,115,850g 55s 56c1
Sep 81,109,753g 0s 0c1
Sep 71,089,661g 25s 0c1
Sep 61,082,964g 0s 0c1
Sep 51,066,461g 33s 33c1
Sep 41,058,210g 0s 0c1
Sep 31,058,210g 0s 0c1
Sep 21,025,803g 0s 0c1
Sep 11,025,803g 0s 0c1
Aug 311,000,615g 25s 0c1
Aug 30997,017g 0s 0c1
Aug 29972,506g 60s 0c1
Aug 28966,379g 0s 0c1
Aug 27928,378g 92s 31c1
Aug 26911,490g 0s 0c1
Aug 25911,490g 0s 0c1
Jul 22955,446g 0s 0c1

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 Stitched Leather Pants tends to trade below or above its usual price, based on the last 30 days.

The grid follows the auction week in UTC.

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Cheaper than usualTypicalMore expensive than usualLimited data