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Edition

Aevery's Spare Gauntlets

UncommonMail
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Price

Last scan Oct 18, 2026, 00:00 UTC

Last seen price on Dreadmaul (US)

99,928g 67s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
99,928g 67s 0c
Listings at that scan
1
  • Regional auction data, hourly
  • 150 scans
How prices are measured
  • Aevery's Spare Gauntlets
  • Item Level: 545
  • Binds when equipped
  • HandsMail
  • Required Level: 70
  • Sell price: 32g 99s 19c
Sources: none recorded

Sources

No source is recorded for Aevery's Spare Gauntlets.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

Dreadmaul (US)

Price History

Dreadmaul (US)
Low
8,561g 70s 0c
Average
101,909g 14s 37c
High
175,528g 67s 0c
Samples
150
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 Aevery's Spare Gauntlets, 1 week, Dreadmaul (US)
Time (UTC)Lowest buyoutAverageQuantity
Mar 10, 0079,929g113,262g3
Mar 12, 0079,929g79,929g1
Mar 15, 0099,929g99,929g2
Mar 22, 00128,001g128,001g2
Mar 23, 0098,001g113,001g2
Mar 26, 0098,001g98,001g1
Mar 31, 0099,929g99,929g2
Apr 8, 00128,001g128,001g1
Apr 9, 00128,001g128,001g1
Apr 11, 00128,001g128,001g1
Apr 12, 00128,001g128,001g1
Apr 13, 0098,829g106,122g1
Apr 14, 0098,829g98,829g1
Apr 15, 0098,829g98,829g1
Apr 16, 0097,729g97,729g1
Apr 17, 0097,729g97,729g1
Apr 18, 0097,729g116,649g1
Apr 19, 0078,001g108,770g2
Apr 20, 0078,001g94,667g2
Apr 21, 0078,001g124,667g1
Apr 22, 0098,001g138,910g1
Apr 23, 0098,001g111,637g1
Apr 24, 0098,001g98,001g1
Apr 25, 0098,001g98,001g2
Apr 26, 0098,001g98,001g2
Apr 27, 0098,001g98,001g2
Apr 28, 0098,001g98,001g2
Apr 29, 0093,329g93,329g2
Apr 30, 0093,329g93,329g2
May 1, 0093,329g93,329g2
May 2, 0078,829g101,556g2
May 3, 0078,829g103,829g2
May 4, 0078,829g108,829g2
May 5, 0078,929g78,929g1
May 6, 0078,929g78,929g1
May 7, 0078,929g79,314g1
May 8, 0079,829g79,829g1
May 9, 0079,829g79,829g2
May 10, 0079,829g79,829g1
May 11, 008,562g49,642g1
May 12, 0075,629g75,629g2
May 13, 0075,629g75,629g2
May 14, 0075,629g86,354g1
May 15, 0089,929g89,929g1
May 16, 0077,829g87,829g2
May 17, 0077,829g87,829g2
May 18, 0079,929g79,929g1
May 19, 0079,929g79,929g1
May 20, 0079,929g79,929g1
May 26, 0097,829g97,829g1
May 27, 0097,829g97,829g1
May 28, 0097,829g97,829g1
May 30, 0079,929g79,929g1
May 31, 0079,929g79,929g1
Jun 1, 0079,929g95,272g1
Jun 2, 0097,829g97,829g1
Jun 3, 0097,829g97,829g1
Jun 4, 0086,729g86,729g1
Jun 5, 0086,729g86,729g1
Jun 6, 0086,729g86,729g1
Jun 7, 0078,729g78,729g1
Jun 8, 0078,729g78,729g1
Jun 9, 0078,729g78,729g1
Jun 12, 00128,889g128,889g1
Jun 13, 00128,889g128,889g1
Jun 14, 0097,829g97,829g1
Jun 15, 0097,829g97,829g1
Jun 17, 0097,829g97,829g1
Jun 18, 0097,829g97,829g1
Jun 19, 0097,829g97,829g1
Jun 20, 0097,829g97,829g1
Jun 21, 0097,829g97,829g1
Jun 26, 0097,829g97,829g1
Jun 27, 0097,829g97,829g1
Jun 28, 0097,829g97,829g1
Jul 8, 00128,001g128,001g1
Jul 9, 00128,001g128,001g1
Jul 10, 00128,001g128,001g1
Jul 15, 0097,829g97,829g1
Jul 16, 0097,829g97,829g1
Jul 18, 00128,001g128,001g1
Jul 19, 00128,001g128,001g1
Jul 20, 00128,001g128,001g1
Jul 22, 0099,929g99,929g1
Jul 23, 0099,929g99,929g1
Jul 24, 0099,929g99,929g1
Jul 25, 00128,001g128,001g1
Jul 26, 00128,001g128,001g1
Jul 27, 00128,001g128,001g1
Jul 31, 00128,001g128,001g1
Aug 1, 00128,001g128,001g1
Aug 2, 00128,001g128,001g1
Aug 5, 00128,001g128,001g1
Aug 6, 00128,001g128,001g1
Aug 7, 00128,001g168,739g1
Aug 8, 00175,529g175,529g1
Aug 9, 00175,529g175,529g1
Aug 11, 00128,001g128,001g1
Aug 12, 00128,001g128,001g1
Aug 13, 00128,001g128,001g1
Aug 15, 0099,929g99,929g1
Aug 16, 0099,929g99,929g1
Aug 17, 0099,929g99,929g1
Aug 18, 0099,929g99,929g1
Aug 19, 0099,929g116,772g1
Aug 20, 00128,001g128,001g1
Aug 21, 00128,001g128,001g1
Aug 22, 00128,001g128,001g1
Aug 23, 00128,001g128,001g1
Aug 24, 00128,001g128,001g1
Aug 30, 0099,929g99,929g1
Aug 31, 0099,929g99,929g1
Sep 1, 0099,929g99,929g1
Sep 2, 0099,929g99,929g1
Sep 3, 0099,929g99,929g1
Sep 4, 0099,929g99,929g1
Sep 5, 0099,929g99,929g1
Sep 8, 0097,729g97,729g1
Sep 9, 0097,729g97,729g1
Sep 10, 0087,929g93,373g1
Sep 11, 0087,929g87,929g1
Sep 12, 0087,929g87,929g1
Sep 13, 0075,529g75,529g1
Sep 14, 0075,529g75,529g1
Sep 15, 0075,529g79,214g1
Sep 16, 0079,829g79,829g1
Sep 17, 0079,829g79,829g1
Sep 19, 0067,729g67,729g1
Sep 20, 0067,729g67,729g1
Sep 21, 0067,729g67,729g1
Sep 26, 00128,001g128,001g1
Sep 27, 00128,001g128,001g1
Sep 28, 0099,929g110,456g1
Sep 29, 0099,929g99,929g1
Sep 30, 0099,929g99,929g1
Oct 3, 0067,729g67,729g1
Oct 4, 0067,729g67,729g1
Oct 5, 0067,729g67,729g1
Oct 6, 0075,629g75,629g1
Oct 7, 0075,629g75,629g1
Oct 8, 0075,629g75,629g1
Oct 10, 00127,729g127,729g1
Oct 11, 00127,729g127,729g1
Oct 12, 00127,729g127,729g1
Oct 13, 0077,729g77,729g1
Oct 14, 0077,729g77,729g1
Oct 15, 0077,729g77,729g1
Oct 16, 0099,929g99,929g1
Oct 17, 0099,929g99,929g1
Oct 18, 0099,929g99,929g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Aevery's Spare Gauntlets
Day (UTC)AverageUnits listed
Oct 1899,928g 67s 0c1
Oct 1799,928g 67s 0c1
Oct 1699,928g 67s 0c1
Oct 1577,728g 67s 0c1
Oct 1477,728g 67s 0c1
Oct 1377,728g 67s 0c1
Oct 12127,728g 67s 0c1
Oct 11127,728g 67s 0c1
Oct 10127,728g 67s 0c1
Oct 875,628g 67s 0c1
Oct 775,628g 67s 0c1
Oct 675,628g 67s 0c1
Oct 567,728g 67s 0c1
Oct 467,728g 67s 0c1
Oct 367,728g 67s 0c1
Sep 3099,928g 67s 0c1
Sep 2999,928g 67s 0c1
Sep 28110,455g 67s 0c1
Sep 27128,000g 67s 0c1
Sep 26128,000g 67s 0c1
Sep 2167,728g 67s 0c1
Sep 2067,728g 67s 0c1
Sep 1967,728g 67s 0c1
Sep 1779,828g 67s 0c1
Sep 1679,828g 67s 0c1
Sep 1579,214g 38s 43c1
Sep 1475,528g 67s 0c1
Sep 1375,528g 67s 0c1
Sep 1287,928g 67s 0c1
Sep 1187,928g 67s 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 Aevery's Spare Gauntlets 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