Annual Total Expenses
$243.95 M
+$84.56 M+53.05%
01 December 2023
Summary:
Hyperscale Data annual total expenses is currently $243.95 million, with the most recent change of +$84.56 million (+53.05%) on 01 December 2023. During the last 3 years, it has risen by +$177.81 million (+268.80%).GPUS Total Expenses Chart
Add series to chart(max: 6)
company, ETF, index, featured screener or watchlist
Quarterly Total Expenses
$43.87 M
-$3.51 M-7.41%
01 September 2024
Summary:
Hyperscale Data quarterly total expenses is currently $43.87 million, with the most recent change of -$3.51 million (-7.41%) on 01 September 2024. Over the past year, it has dropped by -$38.54 million (-46.77%).GPUS Quarterly Total Expenses Chart
Add series to chart(max: 6)
company, ETF, index, featured screener or watchlist
GPUS Total Expenses Performance
PeriodPeriod | AnnualAnnual | QuarterlyQuarterly |
---|---|---|
1 y1 year | - | -46.8% |
3 y3 years | +268.8% | +91.3% |
5 y5 years | +479.5% | +201.5% |
GPUS Total Expenses High & Low
PeriodPeriod | Annual vs highAnnual vs high | Annual vs lowAnnual vs low | Quarter. vs highQuarter. vs high | Quarter. vs lowQuarter. vs low | |
---|---|---|---|---|---|
3 y | 3 years | ||||
5 y | 5 years | ||||
alltime | all time | at high | -46.8% |
Hyperscale Data Total Expenses History
Date | Annual | Quarterly |
---|---|---|
Sept 2024 | - | $43.87 M(-7.4%) |
June 2024 | - | $47.37 M(-0.5%) |
Mar 2024 | - | $47.60 M(-42.2%) |
Dec 2023 | $243.95 M(+53.0%) | $82.40 M(+38.6%) |
Sept 2023 | - | $59.43 M(-4.5%) |
June 2023 | - | $62.22 M(+6.1%) |
Mar 2023 | - | $58.67 M(+19.7%) |
Dec 2022 | $159.40 M(+141.0%) | $49.01 M(+0.5%) |
Sept 2022 | - | $48.76 M(+24.7%) |
June 2022 | - | $39.11 M(+24.7%) |
Mar 2022 | - | $31.36 M(+36.8%) |
Dec 2021 | $66.15 M(+121.2%) | $22.93 M(+54.2%) |
Sept 2021 | - | $14.87 M(-8.8%) |
June 2021 | - | $16.31 M(+35.4%) |
Mar 2021 | - | $12.04 M(+52.5%) |
Dec 2020 | $29.90 M(-29.0%) | $7.90 M(+8.2%) |
Sept 2020 | - | $7.30 M(+18.3%) |
June 2020 | - | $6.17 M(-27.7%) |
Mar 2020 | - | $8.54 M(-41.3%) |
Dec 2019 | $42.10 M(-8.6%) | $14.55 M(+66.9%) |
Sept 2019 | - | $8.72 M(+1.0%) |
June 2019 | - | $8.63 M(-15.4%) |
Mar 2019 | - | $10.20 M(-26.2%) |
Dec 2018 | $46.06 M(+185.1%) | $13.82 M(+10.3%) |
Sept 2018 | - | $12.53 M(+7.9%) |
June 2018 | - | $11.61 M(+43.5%) |
Mar 2018 | - | $8.09 M(+36.3%) |
Dec 2017 | $16.16 M(+83.3%) | $5.94 M(+30.9%) |
Sept 2017 | - | $4.54 M(+38.9%) |
June 2017 | - | $3.27 M(+35.2%) |
Mar 2017 | - | $2.42 M(-17.9%) |
Dec 2016 | $8.81 M(+0.5%) | $2.94 M(+54.0%) |
Sept 2016 | - | $1.91 M(-7.0%) |
June 2016 | - | $2.05 M(+7.3%) |
Mar 2016 | - | $1.91 M(-24.2%) |
Dec 2015 | $8.77 M(-8.3%) | $2.52 M(+37.8%) |
Sept 2015 | - | $1.83 M(-20.3%) |
June 2015 | - | $2.30 M(+8.7%) |
Mar 2015 | - | $2.12 M(-14.4%) |
Dec 2014 | $9.56 M(+5.2%) | $2.47 M(+2.6%) |
Sept 2014 | - | $2.41 M(-3.3%) |
June 2014 | - | $2.49 M(+13.6%) |
Mar 2014 | - | $2.19 M(-10.2%) |
Dec 2013 | $9.09 M(+4.7%) | $2.44 M(+5.1%) |
Sept 2013 | - | $2.32 M(+7.9%) |
June 2013 | - | $2.15 M(-1.1%) |
Mar 2013 | - | $2.17 M(+0.4%) |
Dec 2012 | $8.68 M(-13.8%) | $2.17 M(+12.7%) |
Sept 2012 | - | $1.92 M(-22.2%) |
June 2012 | - | $2.47 M(+16.3%) |
Mar 2012 | - | $2.12 M(+6.8%) |
Dec 2011 | $10.07 M(+1.7%) | $1.99 M(-22.0%) |
Sept 2011 | - | $2.55 M(-7.4%) |
June 2011 | - | $2.75 M(-1.0%) |
Mar 2011 | - | $2.78 M(-4.3%) |
Dec 2010 | $9.90 M | $2.91 M(+3.7%) |
Date | Annual | Quarterly |
---|---|---|
Sept 2010 | - | $2.80 M(+36.7%) |
June 2010 | - | $2.05 M(-4.1%) |
Mar 2010 | - | $2.14 M(-11.9%) |
Dec 2009 | $8.76 M(-23.9%) | $2.43 M(+25.3%) |
Sept 2009 | - | $1.94 M(-8.3%) |
June 2009 | - | $2.11 M(-7.2%) |
Mar 2009 | - | $2.28 M(-9.2%) |
Dec 2008 | $11.51 M(-4.9%) | $2.51 M(-0.6%) |
Sept 2008 | - | $2.52 M(-19.6%) |
June 2008 | - | $3.14 M(-5.8%) |
Mar 2008 | - | $3.33 M(-8.5%) |
Dec 2007 | $12.10 M(-3.3%) | $3.65 M(+21.3%) |
Sept 2007 | - | $3.01 M(+9.9%) |
June 2007 | - | $2.74 M(+0.7%) |
Mar 2007 | - | $2.72 M(-15.4%) |
Dec 2006 | $12.52 M(+16.5%) | $3.21 M(-3.4%) |
Sept 2006 | - | $3.33 M(+0.7%) |
June 2006 | - | $3.31 M(+23.8%) |
Mar 2006 | - | $2.67 M(-23.3%) |
Dec 2005 | $10.74 M(+7.9%) | $3.48 M(+21.8%) |
Sept 2005 | - | $2.86 M(+24.5%) |
June 2005 | - | $2.29 M(+8.9%) |
Mar 2005 | - | $2.11 M(-31.5%) |
Dec 2004 | $9.96 M(+18.1%) | $3.08 M(+27.9%) |
Sept 2004 | - | $2.41 M(+2.0%) |
June 2004 | - | $2.36 M(+11.7%) |
Mar 2004 | - | $2.11 M(-13.3%) |
Dec 2003 | $8.43 M(-9.3%) | $2.44 M(+31.4%) |
Sept 2003 | - | $1.85 M(-1.9%) |
June 2003 | - | $1.89 M(-16.1%) |
Mar 2003 | - | $2.25 M(+2.3%) |
Dec 2002 | $9.30 M(-45.3%) | $2.20 M(-8.2%) |
Sept 2002 | - | $2.40 M(+1.2%) |
June 2002 | - | $2.37 M(+1.2%) |
Mar 2002 | - | $2.34 M(+12.5%) |
Dec 2001 | $16.99 M(-3.6%) | $2.08 M(-34.3%) |
Sept 2001 | - | $3.17 M(-60.8%) |
June 2001 | - | $8.08 M(+120.5%) |
Mar 2001 | - | $3.67 M(-18.3%) |
Dec 2000 | $17.63 M(+17.3%) | $4.49 M(-8.4%) |
Sept 2000 | - | $4.90 M(+16.3%) |
June 2000 | - | $4.22 M(+4.6%) |
Mar 2000 | - | $4.03 M(+24.6%) |
Dec 1999 | $15.03 M(-22.1%) | $3.23 M(-23.0%) |
Sept 1999 | - | $4.20 M(0.0%) |
June 1999 | - | $4.20 M(+27.3%) |
Mar 1999 | - | $3.30 M(-43.1%) |
Dec 1998 | $19.30 M(+17.0%) | $5.80 M(+31.8%) |
Sept 1998 | - | $4.40 M(-4.3%) |
June 1998 | - | $4.60 M(+2.2%) |
Mar 1998 | - | $4.50 M(+7.1%) |
Dec 1997 | $16.50 M(+39.8%) | $4.20 M(-6.7%) |
Sept 1997 | - | $4.50 M(0.0%) |
June 1997 | - | $4.50 M(+36.4%) |
Mar 1997 | - | $3.30 M |
Dec 1996 | $11.80 M | - |
FAQ
- What is Hyperscale Data annual total expenses?
- What is the all time high annual total expenses for Hyperscale Data?
- What is Hyperscale Data quarterly total expenses?
- What is the all time high quarterly total expenses for Hyperscale Data?
- What is Hyperscale Data quarterly total expenses year-on-year change?
What is Hyperscale Data annual total expenses?
The current annual total expenses of GPUS is $243.95 M
What is the all time high annual total expenses for Hyperscale Data?
Hyperscale Data all-time high annual total expenses is $243.95 M
What is Hyperscale Data quarterly total expenses?
The current quarterly total expenses of GPUS is $43.87 M
What is the all time high quarterly total expenses for Hyperscale Data?
Hyperscale Data all-time high quarterly total expenses is $82.40 M
What is Hyperscale Data quarterly total expenses year-on-year change?
Over the past year, GPUS quarterly total expenses has changed by -$38.54 M (-46.77%)