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Edition

Snowhide Pants

CommonLeather
Open in the auction house

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Price

Last scan Oct 24, 2026, 00:00 UTC

Market value on Dentarg (EU)

11,498g 85s 0c
Lowest buyout
11,498g 85s 0c
Listings
1
Set price alert
  • Regional auction data, hourly
  • 173 scans
How prices are measured
  • Snowhide Pants
  • Item Level: 29
  • LegsLeather
  • Required Level: 26
  • Sell price: 24g 67s 75c
Sources: sold by 1 vendor

Sources

  • Sold by 1 vendor.

Sold by vendors, 1 source

  • Tewah ChillmaneCost per purchase123g 38s 75c+9,219.3% auction price against vendor

Most sources come from published game data.

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Market

Dentarg (EU)

Price History

Dentarg (EU)
Low
498g 99s 0c
Average
9,650g 53s 16c
High
19,536g 50s 77c
Samples
173
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 Snowhide Pants, 1 week, Dentarg (EU)
Time (UTC)MinAverageQuantity
Mar 1, 00499g499g1
Mar 2, 00499g499g1
Mar 3, 00499g499g1
Mar 4, 00499g499g1
Mar 8, 00499g499g1
Mar 10, 00499g499g1
Mar 11, 00499g499g1
Mar 12, 00499g499g1
Mar 16, 00499g6,014g2
Mar 23, 00499g499g1
Mar 29, 00499g5,262g2
Apr 1, 0010,025g10,025g1
Apr 3, 00499g499g2
Apr 4, 00499g499g2
Apr 7, 00499g5,257g2
Apr 8, 00499g499g1
Apr 9, 00499g499g1
Apr 10, 0010,016g10,016g1
Apr 11, 0010,016g10,016g1
Apr 12, 0010,016g10,016g2
Apr 13, 0010,016g10,016g2
Apr 14, 0010,016g10,016g2
Apr 17, 00499g6,209g2
Apr 18, 00499g5,574g2
Apr 19, 0010,015g10,015g1
Apr 20, 0010,015g10,015g1
Apr 21, 0010,015g10,015g1
Apr 22, 0010,015g10,015g1
Apr 23, 0010,015g10,015g1
Apr 24, 0010,015g10,015g1
Apr 26, 0010,015g10,015g1
Apr 27, 0010,015g10,015g2
Apr 28, 00499g8,012g2
Apr 29, 0010,015g10,015g1
Apr 30, 0010,015g10,015g1
May 5, 00499g499g1
May 6, 00499g499g1
May 9, 0011,517g11,517g1
May 10, 0011,517g11,517g1
May 11, 0011,517g11,517g1
May 18, 0010,516g10,516g1
May 19, 0010,516g10,516g1
May 20, 0010,516g10,516g2
May 21, 0010,516g10,516g1
May 22, 0010,434g10,434g1
May 23, 0010,434g10,434g1
May 24, 0010,434g10,434g1
May 27, 0010,485g10,485g1
May 28, 0010,485g10,485g1
May 29, 0010,485g10,485g1
May 30, 0010,529g10,529g1
May 31, 0010,529g10,529g1
Jun 1, 0010,529g10,529g1
Jun 6, 0010,505g10,505g1
Jun 7, 0010,505g10,505g1
Jun 8, 0010,505g10,505g1
Jun 9, 0011,915g11,915g1
Jun 10, 0011,915g11,915g1
Jun 11, 0011,915g11,915g1
Jun 14, 0010,116g10,116g1
Jun 15, 0010,116g10,116g1
Jun 16, 0010,116g10,116g1
Jun 17, 009,999g9,999g1
Jun 18, 009,999g9,999g1
Jun 19, 009,999g9,999g1
Jun 26, 009,999g9,999g1
Jun 27, 009,999g9,999g1
Jun 28, 009,999g9,999g1
Jun 29, 009,999g9,999g1
Jun 30, 009,999g9,999g2
Jul 1, 009,999g9,999g1
Jul 4, 009,999g9,999g1
Jul 5, 009,999g9,999g1
Jul 6, 009,999g9,999g1
Jul 13, 009,999g9,999g1
Jul 14, 009,999g9,999g1
Jul 15, 009,999g9,999g1
Jul 16, 009,999g9,999g1
Jul 17, 009,999g9,999g1
Jul 18, 009,999g9,999g1
Jul 20, 009,999g9,999g1
Jul 21, 009,999g9,999g1
Jul 22, 009,999g9,999g1
Jul 23, 009,999g9,999g1
Jul 24, 009,999g9,999g1
Jul 25, 009,999g9,999g1
Jul 26, 009,999g9,999g2
Jul 27, 009,999g9,999g2
Jul 29, 009,999g9,999g1
Jul 30, 009,999g9,999g1
Jul 31, 009,999g9,999g1
Aug 2, 0018,498g19,537g1
Aug 3, 0013,499g18,619g2
Aug 4, 0013,499g15,544g2
Aug 5, 0013,499g13,499g1
Aug 6, 0013,499g13,499g1
Aug 7, 0013,499g13,499g2
Aug 8, 0013,499g13,499g2
Aug 9, 0013,499g13,499g3
Aug 10, 0013,499g13,499g2
Aug 11, 0013,499g13,499g1
Aug 12, 0013,499g13,499g2
Aug 13, 0011,499g13,317g2
Aug 14, 0011,499g11,499g1
Aug 15, 0011,499g11,499g2
Aug 16, 0011,499g11,499g1
Aug 17, 0011,499g11,499g1
Aug 18, 0011,499g11,499g2
Aug 19, 0011,499g11,499g1
Aug 20, 0011,499g11,499g1
Aug 21, 0011,499g11,499g2
Aug 22, 0011,499g11,499g2
Aug 23, 009,999g10,535g1
Aug 24, 009,999g9,999g2
Aug 25, 009,999g9,999g2
Aug 26, 0011,149g11,149g2
Aug 27, 0011,149g11,149g2
Aug 28, 0011,149g11,149g2
Aug 29, 0011,149g11,149g2
Aug 30, 0011,149g11,149g2
Aug 31, 009,670g9,670g1
Sep 1, 009,670g9,670g2
Sep 2, 009,670g9,670g2
Sep 3, 009,670g9,670g2
Sep 4, 009,670g9,670g2
Sep 5, 009,670g9,670g2
Sep 6, 009,670g9,670g2
Sep 7, 009,670g9,670g1
Sep 8, 009,670g9,670g2
Sep 9, 009,670g9,670g2
Sep 10, 009,670g9,670g1
Sep 11, 009,670g9,670g1
Sep 12, 009,670g9,670g2
Sep 13, 009,670g9,670g2
Sep 14, 009,670g9,670g2
Sep 15, 009,670g9,670g2
Sep 16, 009,670g9,670g1
Sep 17, 009,670g9,670g2
Sep 18, 009,670g10,127g1
Sep 19, 0011,499g11,499g2
Sep 20, 0011,499g11,499g2
Sep 21, 009,999g11,070g1
Sep 22, 009,999g9,999g2
Sep 23, 009,999g9,999g3
Sep 24, 009,999g9,999g2
Sep 25, 009,999g9,999g1
Sep 26, 009,999g9,999g1
Sep 27, 009,999g9,999g1
Sep 28, 009,999g9,999g1
Sep 29, 009,999g9,999g1
Sep 30, 009,999g9,999g1
Oct 1, 009,999g9,999g1
Oct 2, 009,999g9,999g1
Oct 3, 009,999g9,999g1
Oct 4, 009,999g9,999g1
Oct 7, 009,999g9,999g1
Oct 8, 009,999g9,999g1
Oct 9, 009,999g9,999g1
Oct 10, 009,999g9,999g1
Oct 11, 009,999g10,449g1
Oct 12, 0011,499g11,499g1
Oct 13, 0011,499g11,499g2
Oct 14, 0011,499g11,499g2
Oct 15, 0011,499g11,499g2
Oct 16, 0011,499g11,499g2
Oct 17, 0011,499g11,499g1
Oct 18, 009,999g9,999g1
Oct 19, 009,999g9,999g1
Oct 20, 009,999g9,999g2
Oct 21, 009,999g9,999g1
Oct 22, 0011,499g11,499g1
Oct 23, 0011,499g11,499g1
Oct 24, 0011,499g11,499g1
  • Min
  • Average
  • Quantity
  • Latest lowest price
Daily average for Snowhide Pants
Day (UTC)AverageUnits listed
Oct 2411,498g 85s 0c1
Oct 2311,498g 85s 0c1
Oct 2211,498g 85s 0c1
Oct 219,999g 0s 0c1
Oct 209,999g 0s 0c2
Oct 199,999g 0s 0c1
Oct 189,999g 0s 0c1
Oct 1711,498g 85s 0c1
Oct 1611,498g 85s 0c2
Oct 1511,498g 85s 0c2
Oct 1411,498g 85s 0c2
Oct 1311,498g 85s 0c2
Oct 1211,498g 85s 0c1
Oct 1110,448g 95s 50c1
Oct 109,999g 0s 0c1
Oct 99,999g 0s 0c1
Oct 89,999g 0s 0c1
Oct 79,999g 0s 0c1
Oct 49,999g 0s 0c1
Oct 39,999g 0s 0c1
Oct 29,999g 0s 0c1
Oct 19,999g 0s 0c1
Sep 309,999g 0s 0c1
Sep 299,999g 0s 0c1
Sep 289,999g 0s 0c1
Sep 279,999g 0s 0c1
Sep 269,999g 0s 0c1
Sep 259,998g 67s 0c1
Sep 249,998g 67s 0c2
Sep 239,998g 67s 0c3

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 Snowhide 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