Hyperscale Data (GPUS) Change in Accured Expenses (2016 - 2026)
Hyperscale Data (GPUS) reported Change in Accured Expenses of $21.6 million for Q1 2026, up 880.99% year-over-year from $2.2 million in Q1 2025, and up 352.46% on a QoQ basis from -$8.6 million in Q4 2025.
Hyperscale Data (GPUS) has 11 years of Change in Accured Expenses data on file, last reported at $21.6 million in Q1 2026.
- Quarterly Change in Accured Expenses rose 880.99% year-over-year to $21.6 million in Q1 2026, while the trailing twelve-month figure through Mar 2026 was $8.1 million (down 33.43% YoY) and the FY2025 annual result came in at -$11.3 million, down 569.16% from the prior year.
- Change in Accured Expenses grew to $21.6 million in Q1 2026 per GPUS's latest filing, from -$8.6 million in the prior quarter.
- Across five years, Change in Accured Expenses topped out at $21.6 million in Q1 2026 and bottomed at -$8.6 million in Q4 2025.
- The 5-year median for Change in Accured Expenses is $2.2 million (2025), against an average of $2.2 million.
- Peak annual rise in Change in Accured Expenses reached 6260.26% in 2022, while the deepest fall reached 5200.0% in 2022.
- Tracing GPUS's Change in Accured Expenses over 5 years: stood at $1.9 million in 2022, then rose by 15.22% to $2.2 million in 2023, then sank by 147.56% to -$1.1 million in 2024, then tumbled by 706.4% to -$8.6 million in 2025, then surged by 352.46% to $21.6 million in 2026.
- Per Business Quant, the three latest GPUS Change in Accured Expenses figures stand at $21.6 million (Q1 2026), -$8.6 million (Q4 2025), and -$5.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Accured Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 316.77 Bn | 306.03 Bn | 9.11 Bn | -49.00 Mn |
| 2 | Rtx | 238.61 Bn | 233.51 Bn | 9.08 Bn | -1.16 Bn |
| 3 | Boeing | 172.59 Bn | 151.68 Bn | 2.55 Bn | -1.26 Bn |
| 4 | Lockheed Martin | 122.59 Bn | 120.70 Bn | 2.08 Bn | - |
| 5 | Howmet Aerospace | 102.88 Bn | 100.44 Bn | 854.00 Mn | -100.00 Mn |
| 6 | General Dynamics | 92.64 Bn | 88.99 Bn | 9.09 Bn | - |
| 7 | Rocket Lab | 82.19 Bn | 80.92 Bn | 76.49 Mn | 1.31 Mn |
| 8 | Northrop Grumman | 78.95 Bn | 76.86 Bn | 3.45 Bn | -802.00 Mn |
| 9 | TransDigm | 70.63 Bn | 66.75 Bn | 1.51 Bn | 123.00 Mn |
| 10 | Hyperscale Data | 62.25 Mn | 31.87 Mn | 15.07 Mn | 21.62 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | 21.62 Mn |
| Mar 31, 2026 | 21.62 Mn |
| Dec 31, 2025 | -8.56 Mn |
| Dec 31, 2025 | -8.56 Mn |
| Sep 30, 2025 | -5.35 Mn |
| Sep 30, 2025 | -5.35 Mn |
| Jun 30, 2025 | 409,000.00 |
| Jun 30, 2025 | 409,000.00 |
| Mar 31, 2025 | 2.20 Mn |
| Mar 31, 2025 | 2.20 Mn |
| Dec 31, 2024 | -1.06 Mn |
| Dec 31, 2024 | -1.06 Mn |
| Sep 30, 2024 | 7.26 Mn |
| Sep 30, 2024 | 7.26 Mn |
| Jun 30, 2024 | 3.78 Mn |
| Jun 30, 2024 | 3.78 Mn |
| Mar 31, 2024 | -7.58 Mn |
| Mar 31, 2024 | -7.58 Mn |
| Dec 31, 2023 | 2.23 Mn |
| Dec 31, 2023 | 2.23 Mn |
| Sep 30, 2023 | 5.19 Mn |
| Sep 30, 2023 | 5.19 Mn |
| Jun 30, 2023 | 11.95 Mn |
| Jun 30, 2023 | 11.95 Mn |
| Mar 31, 2023 | -3.80 Mn |
| Mar 31, 2023 | -3.80 Mn |
| Dec 31, 2022 | 1.94 Mn |
| Dec 31, 2022 | 1.94 Mn |
| Sep 30, 2022 | 2.82 Mn |
| Sep 30, 2022 | 2.82 Mn |
| Jun 30, 2022 | -255,000.00 |
| Jun 30, 2022 | -255,000.00 |
| Mar 31, 2022 | 4.96 Mn |
| Mar 31, 2022 | 4.96 Mn |
| Dec 31, 2021 | 2.71 Mn |
| Dec 31, 2021 | 2.71 Mn |
| Sep 30, 2021 | -1.17 Mn |
| Sep 30, 2021 | -1.17 Mn |
| Jun 30, 2021 | 5,000.00 |
| Jun 30, 2021 | 5,000.00 |
| Mar 31, 2021 | 78,000.00 |
| Mar 31, 2021 | 78,000.00 |
| Dec 31, 2020 | -772,000.00 |
| Dec 31, 2020 | -772,000.00 |
| Sep 30, 2020 | -957,000.00 |
| Sep 30, 2020 | -957,000.00 |
| Jun 30, 2020 | 470,999.00 |
| Jun 30, 2020 | 470,999.00 |
| Mar 31, 2020 | 894,001.00 |
| Mar 31, 2020 | 894,001.00 |
| Dec 31, 2019 | -1.42 Mn |
| Dec 31, 2019 | -1.42 Mn |
| Sep 30, 2019 | 1.31 Mn |
| Sep 30, 2019 | 1.31 Mn |
| Jun 30, 2019 | -3.32 Mn |
| Jun 30, 2019 | -3.32 Mn |
| Mar 31, 2019 | 3.16 Mn |
| Mar 31, 2019 | 3.16 Mn |
| Dec 31, 2018 | 988,878.00 |
| Dec 31, 2018 | 988,878.00 |
| Sep 30, 2018 | -22,535.00 |
| Sep 30, 2018 | -22,535.00 |
| Jun 30, 2018 | -18,054.00 |
| Jun 30, 2018 | -18,054.00 |
| Mar 31, 2018 | 10,946.00 |
| Mar 31, 2018 | 10,946.00 |
| Dec 31, 2017 | -2.01 Mn |
| Dec 31, 2017 | -2.01 Mn |
| Sep 30, 2017 | 2.17 Mn |
| Sep 30, 2017 | 2.17 Mn |
| Jun 30, 2017 | 247,000.00 |
| Jun 30, 2017 | 247,000.00 |
| Mar 31, 2017 | -338,000.00 |
| Mar 31, 2017 | -338,000.00 |
| Dec 31, 2016 | -138,000.00 |
| Dec 31, 2016 | -138,000.00 |
| Sep 30, 2016 | 97,000.00 |
| Sep 30, 2016 | 97,000.00 |
| Jun 30, 2016 | -264,000.00 |
| Jun 30, 2016 | -264,000.00 |
| Mar 31, 2016 | 66,000.00 |
| Mar 31, 2016 | 66,000.00 |