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GUMM-E

RareExplosives and Devices
Open in the auction house

Price

Last scan Oct 8, 2026, 00:00 UTC

Market value on Ghostlands (US)

8,772g 75s 0c
Lowest buyout
8,772g 75s 0c
Listings
1
Set price alert
  • Blizzard, hourly
  • 189 scans
How prices are measured
  • GUMM-E
  • Item Level: 1
  • Explosives and Devices
  • Sell price: 40s 0c
Sources: sold by 3 vendors

Sources

  • Sold by 3 vendors.

Sold by vendors, 3 sources

  • Engineering FollowerCost per purchase1g 60s 0c+548,196.9% auction price against vendor
  • Engineering FollowerCost per purchase1g 60s 0c+548,196.9% auction price against vendor
  • Miri FiddlewizzCost per purchase1g 60s 0c+548,196.9% auction price against vendor

Most sources come from Blizzard's game data.

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Market

Ghostlands (US)

Price History

Ghostlands (US)
Low
1s 0c
Average
3,044g 41s 67c
High
11,492g 10s 0c
Samples
189
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 GUMM-E, 1 week, Ghostlands (US)
Time (UTC)MinAverageQuantity
Mar 1, 00473g473g1
Mar 2, 0061s171g1
Mar 3, 00250g250g3
Mar 4, 00249g250g4
Mar 8, 00101g101g2
Mar 9, 00100g100g7
Mar 13, 00100g100g1
Mar 16, 0099g99g3
Mar 19, 0099g99g3
Mar 20, 0099g99g4
Mar 22, 0099g99g1
Mar 24, 001s69g5
Mar 25, 0051g87g4
Mar 27, 007,600g7,608g4
Apr 1, 005,700g5,700g3
Apr 2, 004,001g5,275g4
Apr 3, 003,900g3,900g3
Apr 6, 003,750g3,788g4
Apr 8, 003,750g3,794g3
Apr 9, 003,750g3,789g4
Apr 10, 003,800g3,800g3
Apr 11, 003,700g3,700g4
Apr 12, 003,700g3,700g4
Apr 13, 003,600g3,655g5
Apr 14, 001,000g3,041g7
Apr 15, 001,000g3,066g3
Apr 16, 00500g3,059g5
Apr 17, 00500g3,295g5
Apr 18, 003,200g3,325g3
Apr 19, 003,200g3,256g5
Apr 20, 003,000g3,164g6
Apr 21, 003,000g3,068g5
Apr 22, 003,000g3,000g3
Apr 23, 003,000g3,000g3
Apr 24, 002,900g2,960g3
Apr 25, 002,750g2,905g1
Apr 26, 002,750g2,750g1
Apr 27, 002,700g2,714g3
Apr 28, 002,700g2,700g3
Apr 29, 00500g1,550g2
Apr 30, 00499g1,168g3
May 1, 00499g499g4
May 2, 00499g499g3
May 4, 00499g499g2
May 5, 00499g499g3
May 6, 00498g498g3
May 7, 00477g494g3
May 8, 00477g477g2
May 9, 00477g477g2
May 10, 00477g477g2
May 11, 00476g476g2
May 12, 00476g476g2
May 13, 00476g476g2
May 14, 00476g476g2
May 15, 00476g2,990g3
May 16, 003,800g3,800g3
May 17, 003,800g3,800g2
May 18, 003,700g3,700g2
May 19, 003,700g3,700g3
May 20, 003,700g5,173g1
May 21, 005,749g5,869g1
May 22, 005,749g5,749g1
May 23, 005,819g5,819g1
May 24, 007,791g7,791g1
May 25, 007,900g7,924g2
May 26, 007,900g7,903g3
May 27, 007,900g8,555g1
May 28, 009,209g9,210g3
May 29, 009,209g9,209g3
May 30, 008,500g9,155g2
May 31, 008,500g8,703g2
Jun 1, 001,000g1,000g2
Jun 2, 009,507g9,507g1
Jun 3, 009,507g9,507g2
Jun 4, 009,507g9,507g3
Jun 5, 009,507g9,507g3
Jun 6, 006,000g8,338g3
Jun 7, 006,000g6,000g4
Jun 8, 001s5,455g3
Jun 9, 009,561g9,561g1
Jun 11, 009,800g9,804g3
Jun 12, 009,700g9,727g2
Jun 13, 009,700g9,700g2
Jun 14, 009,500g9,630g2
Jun 15, 009,500g9,533g3
Jun 17, 0025g25g3
Jun 18, 0025g25g1
Jun 19, 007,713g7,713g2
Jun 20, 001s6,611g2
Jun 21, 001s1s1
Jun 22, 007,000g7,997g3
Jun 23, 007,000g7,476g4
Jun 24, 007,000g7,000g2
Jun 25, 006,000g6,519g3
Jun 26, 006,000g6,143g3
Jun 27, 005,000g5,368g3
Jun 28, 005,000g5,000g3
Jun 29, 001s4,615g2
Jun 30, 005,000g5,000g2
Jul 1, 004,000g4,429g2
Jul 2, 001,299g3,126g3
Jul 3, 001,000g1,479g4
Jul 4, 001,000g1,019g4
Jul 5, 001,000g1,000g2
Jul 6, 001,000g1,000g2
Jul 7, 001s907g4
Jul 8, 00900g900g3
Jul 9, 00900g900g1
Jul 10, 001s818g2
Jul 11, 001s831g3
Jul 12, 001s800g5
Jul 13, 00299g591g6
Jul 14, 00299g345g4
Jul 15, 00299g299g3
Jul 16, 001s218g5
Jul 17, 00200g200g2
Jul 18, 00100g133g3
Jul 19, 0088g99g4
Jul 20, 0088g91g3
Jul 21, 001s70g3
Jul 22, 0088g1,709g3
Jul 23, 0088g88g3
Jul 24, 0086g89g2
Jul 25, 0086g88g4
Jul 26, 0086g88g4
Jul 27, 0086g86g2
Jul 28, 0084g85g2
Jul 29, 0084g1,168g2
Jul 30, 001s1,394g3
Jul 31, 0078g82g2
Aug 1, 0078g78g1
Aug 2, 003,054g3,054g1
Aug 3, 002,789g2,833g1
Aug 4, 002,789g2,905g1
Aug 5, 002,000g2,262g1
Aug 6, 0051g1,873g2
Aug 7, 0036g1,385g2
Aug 8, 0026g1,247g2
Aug 9, 0026g698g1
Aug 10, 001,000g1,000g1
Aug 11, 00900g900g1
Aug 12, 00900g900g1
Aug 13, 00900g900g1
Aug 14, 00800g800g2
Aug 15, 00800g800g1
Aug 21, 00700g700g1
Aug 22, 00700g700g1
Aug 23, 003,967g3,967g1
Aug 24, 002,000g2,303g1
Aug 25, 002,000g2,000g1
Aug 26, 002,000g2,000g1
Aug 28, 001,000g1,000g1
Aug 29, 001,000g1,000g1
Aug 30, 00900g914g1
Aug 31, 00900g900g1
Sep 1, 00850g893g1
Sep 2, 00850g850g1
Sep 3, 00850g850g1
Sep 5, 00800g800g1
Sep 6, 00800g800g1
Sep 7, 00800g800g1
Sep 8, 00775g788g2
Sep 9, 00775g780g1
Sep 10, 00750g750g1
Sep 11, 00750g750g1
Sep 12, 00750g750g1
Sep 14, 00725g725g1
Sep 15, 00725g725g1
Sep 16, 00700g704g1
Sep 17, 00700g700g1
Sep 18, 00700g700g1
Sep 19, 0011,492g11,492g1
Sep 20, 0011,000g11,246g2
Sep 21, 0011,000g11,211g2
Sep 23, 0010,000g10,000g1
Sep 24, 0010,000g10,000g1
Sep 25, 0026g105g2
Sep 26, 0025g84g3
Sep 27, 0025g52g2
Sep 28, 0024g24g2
Sep 29, 0024g24g2
Sep 30, 0024g9,027g1
Oct 1, 009,750g9,768g1
Oct 2, 009,750g9,750g1
Oct 3, 0061s1,084g1
Oct 4, 0061s61s1
Oct 5, 0061s61s1
Oct 7, 008,773g8,773g1
Oct 8, 008,773g8,773g1
  • Min
  • Average
  • Quantity
  • Latest lowest price
Daily market value for GUMM-E
DayMarket valueListings
Oct 88,772g 75s 0c1
Oct 78,772g 75s 0c1
Oct 561s 0c1
Oct 461s 0c1
Oct 31,083g 87s 56c1
Oct 29,750g 0s 0c1
Oct 19,767g 71s 30c1
Sep 309,026g 84s 55c1
Sep 2924g 0s 0c2
Sep 2824g 35s 29c2
Sep 2752g 9s 61c2
Sep 2683g 83s 33c3
Sep 25105g 29s 55c2
Sep 2410,000g 0s 0c1
Sep 2310,000g 0s 0c1
Sep 2111,210g 90s 0c2
Sep 2011,246g 5s 0c2
Sep 1911,492g 10s 0c1
Sep 18700g 0s 0c1
Sep 17700g 0s 0c1
Sep 16704g 16s 67c1
Sep 15725g 0s 0c1
Sep 14725g 0s 0c1
Sep 12750g 0s 0c1
Sep 11750g 0s 0c1
Sep 10750g 0s 0c1
Sep 9779g 54s 55c1
Sep 8787g 50s 0c2
Sep 7800g 0s 0c1
Sep 6800g 0s 0c1

Sparse data for 1 week — showing all available history.

Trading hours: the cheaper and dearer hours of the week, in your time

Trading Hours

See when GUMM-E tends to trade below or above its usual price, based on the last 30 days.

The grid follows the auction week in UTC. Your local time (UTC+0) is shown alongside.

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Cheaper than usualTypicalMore expensive than usualLimited data