Hyperscale Data (GPUS) Change in Inventory (2010 - 2026)
Hyperscale Data (GPUS) reported Change in Inventory of $346000.0 for Q1 2026, up 196.38% year-over-year from $116742.5 in Q1 2025, and up 196.65% on a QoQ basis from -$358000.0 in Q4 2025.
Hyperscale Data (GPUS) has 17 years of Change in Inventory data on file, last reported at $346000.0 in Q1 2026.
- Quarterly Change in Inventory rose 196.38% year-over-year to $346000.0 in Q1 2026, while the trailing twelve-month figure through Mar 2026 was $297000.0 (up 453.57% YoY) and the FY2025 annual result came in at -$408000.0, down 1233.33% from the prior year.
- Change in Inventory climbed to $346000.0 in Q1 2026 per GPUS's latest filing, from -$358000.0 in the prior quarter.
- Across five years, Change in Inventory topped out at $3.2 million in Q3 2022 and bottomed at -$4.8 million in Q4 2022.
- The 5-year median for Change in Inventory is $66000.0 (2025), against an average of -$86764.7.
- The widest annual swing landed in 2022, when Change in Inventory jumped 1360.17%; it then slumped 5866.67% in 2025.
- Tracing GPUS's Change in Inventory over 5 years: stood at -$4.8 million in 2022, then advanced by 15.17% to -$4.1 million in 2023, then surged by 99.85% to -$6000.0 in 2024, then tumbled by 5866.67% to -$358000.0 in 2025, then surged by 196.65% to $346000.0 in 2026.
- Per Business Quant, the three latest GPUS Change in Inventory figures stand at $346000.0 (Q1 2026), -$358000.0 (Q4 2025), and $243000.0 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 316.77 Bn | 306.03 Bn | 9.11 Bn | 534.00 Mn |
| 2 | Rtx | 238.61 Bn | 233.51 Bn | 9.08 Bn | 813.00 Mn |
| 3 | Boeing | 172.59 Bn | 151.68 Bn | 2.55 Bn | 2.63 Bn |
| 4 | Lockheed Martin | 122.59 Bn | 120.70 Bn | 2.08 Bn | 727.00 Mn |
| 5 | Howmet Aerospace | 102.88 Bn | 100.44 Bn | 854.00 Mn | 110.00 Mn |
| 6 | General Dynamics | 92.64 Bn | 88.99 Bn | 9.09 Bn | -55.00 Mn |
| 7 | Rocket Lab | 82.19 Bn | 80.92 Bn | 76.49 Mn | 24.57 Mn |
| 8 | Northrop Grumman | 78.95 Bn | 76.86 Bn | 3.45 Bn | 144.00 Mn |
| 9 | TransDigm | 70.63 Bn | 66.75 Bn | 1.51 Bn | 49.00 Mn |
| 10 | Hyperscale Data | 62.25 Mn | 31.87 Mn | 15.07 Mn | 346,000.00 |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | 346,000.00 |
| Mar 31, 2026 | 346,000.00 |
| Dec 31, 2025 | -358,000.00 |
| Dec 31, 2025 | -358,000.00 |
| Sep 30, 2025 | 243,000.00 |
| Sep 30, 2025 | 243,000.00 |
| Jun 30, 2025 | 66,000.00 |
| Jun 30, 2025 | 66,000.00 |
| Mar 31, 2025 | -359,000.00 |
| Mar 31, 2025 | -359,000.00 |
| Dec 31, 2024 | -6,000.00 |
| Dec 31, 2024 | -6,000.00 |
| Sep 30, 2024 | 274,000.00 |
| Sep 30, 2024 | 274,000.00 |
| Jun 30, 2024 | 7,000.00 |
| Jun 30, 2024 | 7,000.00 |
| Mar 31, 2024 | -239,000.00 |
| Mar 31, 2024 | -239,000.00 |
| Dec 31, 2023 | -4.07 Mn |
| Dec 31, 2023 | -4.07 Mn |
| Sep 30, 2023 | 2.68 Mn |
| Sep 30, 2023 | 2.68 Mn |
| Jun 30, 2023 | 812,000.00 |
| Jun 30, 2023 | 812,000.00 |
| Mar 31, 2023 | -1.94 Mn |
| Mar 31, 2023 | -1.94 Mn |
| Dec 31, 2022 | -4.80 Mn |
| Dec 31, 2022 | -4.80 Mn |
| Sep 30, 2022 | 3.22 Mn |
| Sep 30, 2022 | 3.22 Mn |
| Jun 30, 2022 | 923,000.00 |
| Jun 30, 2022 | 923,000.00 |
| Mar 31, 2022 | 1.72 Mn |
| Mar 31, 2022 | 1.72 Mn |
| Dec 31, 2021 | 1.54 Mn |
| Dec 31, 2021 | 1.54 Mn |
| Sep 30, 2021 | 977,000.00 |
| Sep 30, 2021 | 977,000.00 |
| Jun 30, 2021 | -603,000.00 |
| Jun 30, 2021 | -603,000.00 |
| Mar 31, 2021 | 118,000.00 |
| Mar 31, 2021 | 118,000.00 |
| Dec 31, 2020 | -382,000.00 |
| Dec 31, 2020 | -382,000.00 |
| Sep 30, 2020 | 164,000.00 |
| Sep 30, 2020 | 164,000.00 |
| Jun 30, 2020 | 60,590.00 |
| Jun 30, 2020 | 60,590.00 |
| Mar 31, 2020 | -25,590.00 |
| Mar 31, 2020 | -25,590.00 |
| Dec 31, 2019 | -210,856.00 |
| Dec 31, 2019 | -210,856.00 |
| Sep 30, 2019 | -15,070.00 |
| Sep 30, 2019 | -15,070.00 |
| Jun 30, 2019 | -139,631.00 |
| Jun 30, 2019 | -139,631.00 |
| Mar 31, 2019 | -459,146.00 |
| Mar 31, 2019 | -459,146.00 |
| Dec 31, 2018 | -130,758.00 |
| Dec 31, 2018 | -130,758.00 |
| Sep 30, 2018 | -510,076.00 |
| Sep 30, 2018 | -510,076.00 |
| Jun 30, 2018 | 411,911.00 |
| Jun 30, 2018 | 411,911.00 |
| Mar 31, 2018 | 215,786.00 |
| Mar 31, 2018 | 215,786.00 |
| Dec 31, 2017 | 127,844.00 |
| Dec 31, 2017 | 127,844.00 |
| Sep 30, 2017 | -12,000.00 |
| Sep 30, 2017 | -12,000.00 |
| Jun 30, 2017 | -23,000.00 |
| Jun 30, 2017 | -23,000.00 |
| Mar 31, 2017 | -193,000.00 |
| Mar 31, 2017 | -193,000.00 |
| Dec 31, 2016 | 34,000.00 |
| Dec 31, 2016 | 34,000.00 |
| Sep 30, 2016 | 13,000.00 |
| Sep 30, 2016 | 13,000.00 |
| Jun 30, 2016 | -169,000.00 |
| Jun 30, 2016 | -169,000.00 |
| Mar 31, 2016 | -87,000.00 |
| Mar 31, 2016 | -87,000.00 |
| Dec 31, 2015 | -396,000.00 |
| Dec 31, 2015 | -396,000.00 |
| Sep 30, 2015 | 62,000.00 |
| Sep 30, 2015 | 62,000.00 |
| Jun 30, 2015 | 16,000.00 |
| Jun 30, 2015 | 16,000.00 |
| Mar 31, 2015 | 261,000.00 |
| Mar 31, 2015 | 261,000.00 |
| Dec 31, 2014 | -134,000.00 |
| Dec 31, 2014 | -134,000.00 |
| Sep 30, 2014 | 413,000.00 |
| Sep 30, 2014 | 413,000.00 |
| Jun 30, 2014 | -265,000.00 |
| Jun 30, 2014 | -265,000.00 |
| Mar 31, 2014 | -63,000.00 |
| Mar 31, 2014 | -63,000.00 |
| Dec 31, 2013 | -42,000.00 |
| Dec 31, 2013 | -42,000.00 |
| Sep 30, 2013 | -35,000.00 |
| Sep 30, 2013 | -35,000.00 |
| Jun 30, 2013 | -20,000.00 |
| Jun 30, 2013 | -20,000.00 |
| Mar 31, 2013 | -141,000.00 |
| Mar 31, 2013 | -141,000.00 |
| Dec 31, 2012 | -113,000.00 |
| Dec 31, 2012 | -113,000.00 |
| Sep 30, 2012 | 249,000.00 |
| Sep 30, 2012 | 249,000.00 |
| Jun 30, 2012 | -91,000.00 |
| Jun 30, 2012 | -91,000.00 |
| Mar 31, 2012 | -371,000.00 |
| Mar 31, 2012 | -371,000.00 |
| Dec 31, 2011 | 534,000.00 |
| Dec 31, 2011 | 534,000.00 |
| Sep 30, 2011 | 28,000.00 |
| Sep 30, 2011 | 28,000.00 |
| Jun 30, 2011 | 15,000.00 |
| Jun 30, 2011 | 15,000.00 |
| Mar 31, 2011 | 34,000.00 |
| Mar 31, 2011 | 34,000.00 |
| Dec 31, 2010 | 91,000.00 |
| Dec 31, 2010 | 91,000.00 |
| Sep 30, 2010 | -92,000.00 |
| Sep 30, 2010 | -92,000.00 |