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Pattern: Herbalist's Gloves

UncommonLeatherworking
Open in the auction house

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Price

Last scan Oct 18, 2026, 00:00 UTC

Last seen price on Barthilas (US)

18,121g 96s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
18,121g 96s 0c
Listings at that scan
1
  • Regional auction data, hourly
  • 158 scans
How prices are measured
  • Pattern: Herbalist's Gloves
  • Item Level: 1
  • Leatherworking
  • Sell price: 4s 50c
Sources: 1 recipe

Sources

Recipe, 1 source

  • Herbalist's Gloves

Most sources come from published game data.

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Market

Barthilas (US)

Price History

Barthilas (US)
Low
5,134g 0s 0c
Average
56,012g 7s 3c
High
211,846g 19s 0c
Samples
158
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 Pattern: Herbalist's Gloves, 1 week, Barthilas (US)
Time (UTC)Lowest buyoutAverageQuantity
Mar 1, 00190,128g190,128g1
Mar 2, 00190,128g190,128g1
Mar 3, 00190,128g194,077g1
Mar 4, 00211,846g211,846g1
Mar 7, 0060,033g60,033g1
Mar 8, 0060,033g60,033g1
Mar 9, 0060,033g60,033g1
Mar 10, 0060,033g60,033g1
Mar 13, 00150,959g150,959g1
Mar 15, 00150,959g150,959g1
Mar 19, 00165,031g165,031g1
Mar 27, 00125,776g125,776g1
Apr 8, 00130,370g130,370g1
Apr 9, 00130,370g130,370g1
Apr 10, 00130,370g136,910g1
Apr 11, 00149,992g149,992g1
Apr 12, 0062,776g106,384g1
Apr 13, 0062,776g62,776g2
Apr 14, 0062,776g62,776g1
Apr 15, 0062,776g62,776g1
Apr 17, 0058,751g58,751g1
Apr 18, 0058,751g58,751g1
Apr 19, 0058,751g58,751g1
Apr 20, 00102,137g102,137g1
Apr 21, 00102,137g102,137g1
Apr 22, 00102,137g102,137g1
Apr 24, 00126,558g126,558g1
Apr 25, 00126,558g126,558g1
Apr 26, 00126,558g126,558g1
Apr 28, 00150,647g150,647g1
Apr 29, 0055,158g102,902g2
Apr 30, 0055,158g89,881g2
May 1, 0055,158g55,158g1
May 4, 00121,857g121,857g1
May 5, 00121,857g121,857g1
May 6, 00121,857g131,732g1
May 7, 00144,897g144,897g1
May 8, 00144,897g144,897g1
May 10, 00159,561g159,561g1
May 11, 0055,943g118,114g2
May 12, 0055,943g95,796g2
May 13, 0055,943g55,943g1
May 14, 00135,070g135,070g1
May 15, 00135,070g135,070g1
May 16, 00135,070g135,070g1
May 18, 0061,243g61,243g1
May 19, 0061,243g61,243g1
May 20, 0061,243g61,243g1
May 21, 0061,243g61,243g1
May 22, 00116,330g116,330g1
May 23, 0067,768g92,049g2
May 24, 0067,768g92,049g2
May 25, 0059,195g59,195g2
May 26, 0059,195g59,195g2
May 27, 0059,195g59,195g2
May 29, 0099,369g99,369g1
May 30, 0099,369g99,369g1
May 31, 0099,369g99,369g1
Jun 4, 0053,624g53,624g1
Jun 5, 0053,624g53,624g1
Jun 6, 0053,624g53,624g1
Jun 8, 0097,309g97,309g1
Jun 9, 0097,309g97,309g1
Jun 10, 00116,398g116,398g1
Jun 11, 00116,398g116,398g1
Jun 12, 0047,878g68,434g1
Jun 13, 0047,878g47,878g1
Jun 15, 00101,939g101,939g1
Jun 17, 00118,799g118,799g1
Jun 18, 00118,799g118,799g1
Jun 19, 00118,799g118,799g1
Jun 20, 008,000g8,000g1
Jun 21, 008,000g8,000g1
Jun 22, 0012,773g12,773g1
Jun 23, 0012,773g12,773g1
Jun 24, 007,999g8,681g1
Jun 25, 007,999g7,999g1
Jun 26, 007,999g7,999g1
Jun 27, 0045,772g45,772g1
Jun 28, 0045,772g45,772g1
Jun 29, 0045,772g45,772g1
Jul 2, 0058,346g58,346g1
Jul 3, 006,399g40,955g2
Jul 4, 006,399g29,888g2
Jul 5, 006,399g20,958g2
Jul 6, 0014,662g14,662g1
Jul 7, 0014,662g14,662g1
Jul 8, 0021,302g21,302g1
Jul 9, 0021,302g21,302g1
Jul 10, 0013,974g13,974g1
Jul 11, 0013,974g13,974g1
Jul 12, 0013,974g13,974g1
Jul 13, 0014,398g14,398g1
Jul 14, 0014,398g14,398g2
Jul 15, 0012,005g13,202g2
Jul 16, 009,266g10,407g2
Jul 17, 009,266g9,266g2
Jul 18, 006,022g6,949g1
Jul 19, 006,022g6,022g1
Jul 20, 006,022g9,650g1
Jul 21, 0011,205g11,205g1
Jul 22, 005,134g9,470g1
Jul 23, 005,134g5,134g1
Jul 24, 005,134g5,134g1
Jul 26, 008,402g8,402g1
Jul 27, 008,402g8,402g1
Jul 28, 007,222g7,313g1
Jul 29, 007,222g7,222g1
Jul 30, 007,222g7,222g1
Jul 31, 0024,171g24,171g1
Aug 1, 0024,171g24,171g1
Aug 2, 0024,171g24,171g1
Aug 3, 0024,171g24,171g1
Aug 5, 007,716g7,716g1
Aug 6, 007,716g7,716g1
Aug 7, 007,716g7,716g1
Aug 11, 0025,268g25,268g1
Aug 12, 0025,268g25,268g1
Aug 13, 0025,268g25,268g1
Aug 17, 0010,973g10,973g1
Aug 18, 0010,973g10,973g1
Aug 19, 0010,973g10,973g1
Aug 22, 0023,044g23,044g1
Aug 23, 0023,044g23,044g1
Aug 24, 0023,044g23,044g1
Aug 25, 0011,944g11,944g1
Aug 26, 0011,944g11,944g1
Aug 27, 0011,944g11,944g1
Sep 2, 007,149g7,149g1
Sep 3, 007,149g7,149g1
Sep 6, 0018,874g18,874g1
Sep 7, 0018,874g18,874g1
Sep 14, 0014,476g14,476g1
Sep 15, 0014,476g14,476g1
Sep 16, 0014,476g14,476g1
Sep 17, 0014,734g14,734g1
Sep 18, 0014,734g14,734g1
Sep 19, 0014,734g14,734g1
Sep 21, 0015,000g15,000g1
Sep 22, 0015,000g15,000g1
Sep 23, 0015,000g15,000g1
Sep 24, 0016,519g16,519g1
Sep 25, 0016,519g16,519g1
Sep 26, 0016,519g16,519g1
Oct 3, 0017,877g17,877g1
Oct 4, 0017,877g17,877g1
Oct 5, 0017,877g17,877g1
Oct 7, 0018,309g18,309g1
Oct 8, 0018,309g18,309g1
Oct 9, 0018,159g18,226g1
Oct 10, 0018,159g18,159g1
Oct 11, 0018,159g18,159g1
Oct 12, 0018,485g18,485g1
Oct 13, 0018,485g18,485g1
Oct 14, 0018,485g18,485g1
Oct 16, 0018,122g18,122g1
Oct 17, 0018,122g18,122g1
Oct 18, 0018,122g18,122g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Pattern: Herbalist's Gloves
Day (UTC)AverageUnits listed
Oct 1818,121g 96s 0c1
Oct 1718,121g 96s 0c1
Oct 1618,121g 96s 0c1
Oct 1418,485g 19s 0c1
Oct 1318,485g 19s 0c1
Oct 1218,485g 19s 0c1
Oct 1118,159g 48s 0c1
Oct 1018,159g 48s 0c1
Oct 918,225g 92s 89c1
Oct 818,308g 99s 0c1
Oct 718,308g 99s 0c1
Oct 517,876g 72s 0c1
Oct 417,876g 72s 0c1
Oct 317,876g 72s 0c1
Sep 2616,519g 4s 0c1
Sep 2516,519g 4s 0c1
Sep 2416,519g 4s 0c1
Sep 2315,000g 0s 0c1
Sep 2215,000g 0s 0c1
Sep 2115,000g 0s 0c1
Sep 1914,734g 24s 0c1
Sep 1814,734g 24s 0c1
Sep 1714,734g 24s 0c1
Sep 1614,475g 54s 0c1
Sep 1514,475g 54s 0c1
Sep 1414,475g 54s 0c1
Sep 718,873g 55s 0c1
Sep 618,873g 55s 0c1
Sep 37,149g 0s 0c1
Sep 27,149g 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 Pattern: Herbalist's Gloves 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