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Junglefury Gauntlets

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Price

Last scan Sep 7, 2026, 00:00 UTC

Last seen price on Andorhal (US)

20,000g 0s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
20,000g 0s 0c
Listings at that scan
1
  • Regional auction data, hourly
  • 157 scans
How prices are measured
  • Junglefury Gauntlets
  • Item Level: 29
  • Binds when equipped
  • HandsMail
  • Required Level: 25
  • Sell price: 15s 0c
Sources: none recorded

Sources

No source is recorded for Junglefury 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

Andorhal (US)

Price History

Andorhal (US)
Low
16,852g 47s 0c
Average
30,000g 92s 81c
High
39,222g 27s 0c
Samples
157
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 Junglefury Gauntlets, 1 week, Andorhal (US)
Time (UTC)Lowest buyoutAverageQuantity
Mar 1, 0016,852g16,852g1
Mar 2, 0016,852g16,852g1
Mar 3, 0016,852g16,852g1
Mar 4, 0016,852g16,852g1
Mar 8, 0016,852g16,852g1
Mar 11, 0016,852g16,852g1
Mar 12, 0016,852g16,852g1
Mar 13, 0016,852g16,852g1
Mar 14, 0016,852g16,852g1
Mar 15, 0016,852g16,852g1
Mar 16, 0016,852g16,852g1
Mar 18, 0016,852g16,852g1
Mar 21, 0016,852g16,852g1
Mar 28, 0016,852g16,852g1
Apr 11, 0016,852g16,852g1
Apr 12, 0016,852g16,852g1
Apr 18, 0016,852g16,852g1
Apr 19, 0016,852g16,852g1
Apr 20, 0016,852g16,852g1
Apr 21, 0016,852g16,852g1
Apr 22, 0038,640g38,640g1
Apr 23, 0038,640g38,640g1
Apr 24, 0038,640g38,640g1
Apr 25, 0033,705g36,173g2
Apr 26, 0033,705g35,603g2
Apr 27, 0033,705g33,705g1
Apr 28, 0033,705g33,705g1
Apr 29, 0036,668g36,668g1
Apr 30, 0036,668g36,668g1
May 1, 0036,668g36,840g1
May 2, 0037,355g37,355g2
May 3, 0037,355g37,355g2
May 4, 0037,355g37,355g1
May 5, 0037,355g37,355g1
May 6, 0037,460g37,460g1
May 7, 0037,323g37,426g1
May 8, 0037,323g37,323g1
May 9, 0037,686g37,686g1
May 10, 0037,686g37,686g1
May 11, 0039,222g39,222g1
May 12, 0039,222g39,222g1
May 13, 0039,222g39,222g1
May 14, 0038,527g38,527g1
May 15, 0038,527g38,527g1
May 16, 0037,382g37,382g2
May 17, 0037,382g37,382g2
May 19, 0037,436g37,436g1
May 20, 0037,332g37,407g1
May 21, 0037,332g37,332g1
May 22, 0037,332g37,351g1
May 23, 0037,483g37,483g2
May 24, 0037,483g37,483g2
May 25, 0037,483g37,483g1
May 26, 0037,276g37,457g1
May 27, 0037,276g37,276g1
May 28, 0037,276g37,276g1
May 29, 0037,006g37,006g1
May 30, 0037,006g37,006g2
May 31, 0037,006g37,006g2
Jun 1, 0037,006g37,006g1
Jun 2, 0037,112g37,112g1
Jun 3, 0037,112g37,112g1
Jun 4, 0037,111g37,112g1
Jun 5, 0037,111g37,111g1
Jun 6, 0035,493g36,842g1
Jun 7, 0035,493g35,493g1
Jun 8, 0033,992g35,343g1
Jun 9, 0033,992g33,992g1
Jun 10, 0033,992g33,992g1
Jun 11, 0036,088g36,088g1
Jun 12, 0036,088g36,088g1
Jun 13, 0032,267g34,814g1
Jun 14, 0032,267g32,267g1
Jun 15, 0030,929g31,866g1
Jun 16, 0030,929g30,929g1
Jun 17, 0030,929g31,126g1
Jun 18, 0032,009g32,009g1
Jun 19, 0032,009g32,009g1
Jun 20, 0031,254g31,254g1
Jun 21, 0031,254g31,254g1
Jun 22, 0030,048g30,048g1
Jun 23, 0030,048g30,048g1
Jun 24, 0029,310g29,956g1
Jun 25, 0029,310g29,310g1
Jun 26, 0029,310g29,347g1
Jun 27, 0029,679g29,679g1
Jun 28, 0029,679g29,679g1
Jun 29, 0029,813g29,813g1
Jun 30, 0029,813g29,813g1
Jul 1, 0029,796g29,796g1
Jul 2, 0029,796g29,796g1
Jul 4, 0029,598g29,598g1
Jul 5, 0029,598g29,598g1
Jul 6, 0029,598g29,598g1
Jul 7, 0029,459g29,459g1
Jul 8, 0029,459g29,459g1
Jul 9, 0029,757g29,757g1
Jul 10, 0029,757g29,757g1
Jul 11, 0029,757g29,757g1
Jul 12, 0029,752g29,752g1
Jul 13, 0029,752g29,752g1
Jul 14, 0029,752g29,827g1
Jul 15, 0029,958g29,958g1
Jul 16, 0029,869g29,930g1
Jul 17, 0029,869g29,869g1
Jul 18, 0029,869g30,025g1
Jul 19, 0030,568g30,568g1
Jul 20, 0030,568g30,568g1
Jul 21, 0030,223g30,223g1
Jul 22, 0030,223g30,223g1
Jul 23, 0030,057g30,181g1
Jul 24, 0030,057g30,057g1
Jul 25, 0030,057g30,057g1
Jul 26, 0030,054g30,054g1
Jul 27, 0030,054g30,054g1
Jul 28, 0029,796g29,951g1
Jul 29, 0029,796g29,796g1
Jul 30, 0029,796g29,796g1
Jul 31, 0028,273g28,273g1
Aug 1, 0028,273g28,273g1
Aug 2, 0028,273g28,736g1
Aug 3, 0028,839g28,839g1
Aug 4, 0028,810g28,833g1
Aug 5, 0028,810g28,810g1
Aug 6, 0028,810g28,810g1
Aug 7, 0028,053g28,053g1
Aug 8, 0028,053g28,053g1
Aug 9, 0028,053g28,066g1
Aug 10, 0028,069g28,069g1
Aug 11, 0028,069g28,246g1
Aug 12, 0028,383g28,383g1
Aug 13, 0028,383g28,383g1
Aug 14, 0028,260g28,260g1
Aug 15, 0028,260g28,260g1
Aug 16, 0028,260g28,278g1
Aug 17, 0028,286g28,286g1
Aug 18, 0028,286g28,290g1
Aug 19, 0028,293g28,293g1
Aug 20, 0028,293g28,293g1
Aug 21, 0028,136g28,136g1
Aug 22, 0028,136g28,136g1
Aug 23, 0028,250g28,250g1
Aug 24, 0028,250g28,250g1
Aug 25, 0028,231g28,248g1
Aug 26, 0028,231g28,231g1
Aug 27, 0028,231g28,231g1
Aug 28, 0028,228g28,228g1
Aug 29, 0028,228g28,228g1
Aug 30, 0025,748g27,402g1
Aug 31, 0025,748g25,748g1
Sep 1, 0025,748g25,748g1
Sep 2, 0025,000g25,000g1
Sep 3, 0020,000g24,545g1
Sep 4, 0020,000g22,432g2
Sep 5, 0020,000g20,000g2
Sep 6, 0020,000g20,000g1
Sep 7, 0020,000g20,000g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Junglefury Gauntlets
Day (UTC)AverageUnits listed
Sep 720,000g 0s 0c1
Sep 620,000g 0s 0c1
Sep 520,000g 0s 0c2
Sep 422,432g 43s 24c2
Sep 324,545g 45s 45c1
Sep 225,000g 0s 0c1
Sep 125,748g 21s 0c1
Aug 3125,748g 21s 0c1
Aug 3027,401g 72s 33c1
Aug 2928,228g 48s 0c1
Aug 2828,228g 48s 0c1
Aug 2728,230g 89s 0c1
Aug 2628,230g 89s 0c1
Aug 2528,247g 93s 55c1
Aug 2428,249g 64s 0c1
Aug 2328,249g 64s 0c1
Aug 2228,136g 30s 0c1
Aug 2128,136g 30s 0c1
Aug 2028,292g 78s 0c1
Aug 1928,292g 78s 0c1
Aug 1828,290g 21s 33c1
Aug 1728,286g 18s 0c1
Aug 1628,277g 53s 0c1
Aug 1528,260g 23s 0c1
Aug 1428,260g 23s 0c1
Aug 1328,383g 40s 0c1
Aug 1228,383g 40s 0c1
Aug 1128,245g 75s 38c1
Aug 1028,068g 78s 0c1
Aug 928,065g 81s 56c1

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 Junglefury 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