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Thin Cloth Pants

CommonCloth
Open in the auction house

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Price

Last scan Sep 25, 2026, 00:00 UTC

Last seen price on Emerald Dream (US)

66g 60s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
66g 60s 0c
Listings at that scan
1
  • Regional auction data, hourly
  • 76 scans
How prices are measured
  • Thin Cloth Pants
  • Item Level: 2
  • Binds when equipped
  • LegsCloth
  • Required Level: 1
  • Sell price: 17c
Sources: sold by 7 vendors

Sources

  • Sold by 7 vendors.

Sold by vendors, 7 sources

  • Dermot JohnsCost per purchase89c+748,214.6% auction price against vendor
  • Durnan FurcutterCost per purchase89c+748,214.6% auction price against vendor
  • Gamili FrosthideCost per purchase89c+748,214.6% auction price against vendor
  • Janna BrightmoonCost per purchase89c+748,214.6% auction price against vendor
  • VinasiaCost per purchase89c+748,214.6% auction price against vendor
  • JelCost per purchase89c+748,214.6% auction price against vendor
  • Manus SwiftneedleCost per purchase89c+748,214.6% auction price against vendor

Most sources come from published game data.

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Market

Emerald Dream (US)

Price History

Emerald Dream (US)
Low
66g 60s 0c
Average
590g 73s 72c
High
1,151g 12s 0c
Samples
76
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 Thin Cloth Pants, 1 week, Emerald Dream (US)
Time (UTC)Lowest buyoutAverageQuantity
Mar 18, 00160g160g1
Jun 4, 00280g280g1
Jun 5, 00280g280g1
Jun 6, 00280g372g1
Jun 7, 00380g380g1
Jun 8, 00380g380g1
Jun 9, 00380g399g1
Jun 10, 00430g430g1
Jun 11, 00430g430g1
Jun 12, 00430g430g1
Jun 13, 00430g430g1
Jun 14, 00430g430g1
Jun 15, 00430g430g1
Jun 16, 00430g430g1
Jun 17, 00430g430g1
Jun 18, 00430g430g1
Jun 19, 00430g430g1
Jun 20, 00430g430g1
Jun 21, 00430g430g1
Jun 22, 00430g430g1
Jun 23, 00430g430g1
Jun 24, 00430g430g1
Jun 25, 00430g430g1
Jun 26, 00430g430g2
Jun 27, 00430g430g2
Jun 28, 00430g430g2
Jun 29, 00430g430g2
Jun 30, 00430g547g1
Jul 1, 00750g838g1
Jul 2, 00750g802g2
Jul 3, 00750g750g1
Jul 4, 00750g750g1
Jul 5, 00750g939g1
Jul 6, 001,066g1,066g1
Jul 7, 00750g1,022g1
Jul 8, 00750g929g2
Jul 9, 00430g758g2
Jul 10, 00430g430g2
Jul 11, 00430g430g1
Jul 12, 00430g430g1
Jul 13, 00750g894g2
Jul 14, 00750g880g2
Jul 15, 00750g1,030g1
Jul 16, 00750g1,023g2
Jul 17, 00750g1,017g2
Jul 18, 00430g430g2
Jul 19, 00430g430g2
Jul 20, 00430g430g2
Jul 21, 00430g430g2
Jul 22, 00430g430g2
Jul 23, 00430g430g2
Jul 24, 00430g430g2
Jul 25, 00430g430g2
Jul 26, 00430g430g1
Jul 27, 00430g430g1
Jul 28, 00430g525g1
Jul 29, 00750g833g1
Jul 30, 00750g809g2
Jul 31, 00430g676g1
Aug 1, 00430g430g2
Aug 2, 00430g430g2
Aug 3, 00430g430g1
Aug 4, 00750g883g1
Aug 5, 00750g862g1
Aug 6, 00750g865g1
Aug 7, 00750g750g1
Aug 10, 00750g1,004g1
Aug 11, 00750g979g2
Aug 12, 001,123g1,144g1
Aug 13, 001,151g1,151g1
Aug 14, 001,151g1,151g1
Sep 2, 001,044g1,044g1
Sep 3, 001,044g1,044g1
Sep 23, 0067g67g1
Sep 24, 0067g67g1
Sep 25, 0067g67g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Thin Cloth Pants
Day (UTC)AverageUnits listed
Sep 2566g 60s 0c1
Sep 2466g 60s 0c1
Sep 2366g 60s 0c1
Sep 31,044g 23s 0c1
Sep 21,044g 23s 0c1
Aug 141,151g 12s 0c1
Aug 131,151g 12s 0c1
Aug 121,143g 50s 67c1
Aug 11979g 27s 0c2
Aug 101,004g 2s 18c1
Aug 7749g 99s 0c1
Aug 6864g 71s 23c1
Aug 5862g 43s 61c1
Aug 4882g 55s 80c1
Aug 3429g 99s 0c1
Aug 2429g 99s 0c2
Aug 1429g 99s 0c2
Jul 31676g 14s 38c1
Jul 30808g 51s 96c2
Jul 29833g 20s 84c1
Jul 28524g 78s 57c1
Jul 27429g 99s 0c1
Jul 26429g 99s 0c1
Jul 25429g 99s 0c2
Jul 24429g 99s 0c2
Jul 23429g 99s 0c2
Jul 22429g 99s 0c2
Jul 21429g 99s 0c2
Jul 20429g 99s 0c2
Jul 19429g 99s 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 Thin Cloth 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