Hyperscale Data (GPUS) Gross Profit (2010 - 2026)
Hyperscale Data (GPUS) reported Gross Profit of $15.1 million for Q1 2026, up 185.24% year-over-year from $5.3 million in Q1 2025, and up 286.58% on a QoQ basis from $3.9 million in Q4 2025.
Hyperscale Data (GPUS) has 17 years of Gross Profit data on file, last reported at $15.1 million in Q1 2026.
- Quarterly Gross Profit rose 185.24% year-over-year to $15.1 million in Q1 2026, while the trailing twelve-month figure through Mar 2026 was $31.4 million (up 177.24% YoY) and the FY2025 annual result came in at $21.6 million, down 10.92% from the prior year.
- Gross Profit advanced to $15.1 million in Q1 2026 per GPUS's latest filing, from $3.9 million in the prior quarter.
- Across five years, Gross Profit topped out at $22.3 million in Q1 2022 and bottomed at -$3.8 million in Q2 2024.
- The 5-year median for Gross Profit is $6.3 million (2025), against an average of $8.4 million.
- The widest annual swing landed in 2022, when Gross Profit jumped 984.17%; it then plunged 121.18% in 2024.
- Tracing GPUS's Gross Profit over 5 years: stood at $6.7 million in 2022, then tumbled by 88.78% to $753000.0 in 2023, then surged by 68.79% to $1.3 million in 2024, then surged by 206.69% to $3.9 million in 2025, then soared by 286.58% to $15.1 million in 2026.
- Per Business Quant, the three latest GPUS Gross Profit figures stand at $15.1 million (Q1 2026), $3.9 million (Q4 2025), and $6.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 316.77 Bn | 306.03 Bn | 9.11 Bn |
| 2 | Rtx | 238.61 Bn | 233.51 Bn | 9.08 Bn |
| 3 | Boeing | 172.59 Bn | 151.68 Bn | 2.55 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 |
| 6 | General Dynamics | 92.64 Bn | 88.99 Bn | 9.09 Bn |
| 7 | Rocket Lab | 82.19 Bn | 80.92 Bn | 76.49 Mn |
| 8 | Northrop Grumman | 78.95 Bn | 76.86 Bn | 3.45 Bn |
| 9 | TransDigm | 70.63 Bn | 66.75 Bn | 1.51 Bn |
| 10 | Hyperscale Data | 62.25 Mn | 31.87 Mn | 15.07 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | 15.07 Mn |
| Mar 31, 2026 | 15.07 Mn |
| Dec 31, 2025 | 3.90 Mn |
| Dec 31, 2025 | 3.90 Mn |
| Sep 30, 2025 | 6.27 Mn |
| Sep 30, 2025 | 6.27 Mn |
| Jun 30, 2025 | 6.13 Mn |
| Jun 30, 2025 | 6.13 Mn |
| Mar 31, 2025 | 5.28 Mn |
| Mar 31, 2025 | 5.28 Mn |
| Dec 31, 2024 | 1.27 Mn |
| Dec 31, 2024 | 1.27 Mn |
| Sep 30, 2024 | 8.55 Mn |
| Sep 30, 2024 | 8.55 Mn |
| Jun 30, 2024 | -3.79 Mn |
| Jun 30, 2024 | -3.79 Mn |
| Mar 31, 2024 | 18.19 Mn |
| Mar 31, 2024 | 18.19 Mn |
| Dec 31, 2023 | 753,000.00 |
| Dec 31, 2023 | 753,000.00 |
| Sep 30, 2023 | 8.73 Mn |
| Sep 30, 2023 | 8.73 Mn |
| Jun 30, 2023 | 17.89 Mn |
| Jun 30, 2023 | 17.89 Mn |
| Mar 31, 2023 | 2.49 Mn |
| Mar 31, 2023 | 2.49 Mn |
| Dec 31, 2022 | 6.71 Mn |
| Dec 31, 2022 | 6.71 Mn |
| Sep 30, 2022 | 18.82 Mn |
| Sep 30, 2022 | 18.82 Mn |
| Jun 30, 2022 | 5.00 Mn |
| Jun 30, 2022 | 5.00 Mn |
| Mar 31, 2022 | 22.33 Mn |
| Mar 31, 2022 | 22.33 Mn |
| Dec 31, 2021 | 619,000.00 |
| Dec 31, 2021 | 619,000.00 |
| Sep 30, 2021 | -36.07 Mn |
| Sep 30, 2021 | -36.07 Mn |
| Jun 30, 2021 | 55.85 Mn |
| Jun 30, 2021 | 55.85 Mn |
| Mar 31, 2021 | 8.14 Mn |
| Mar 31, 2021 | 8.14 Mn |
| Dec 31, 2020 | 1.92 Mn |
| Dec 31, 2020 | 1.92 Mn |
| Sep 30, 2020 | 1.94 Mn |
| Sep 30, 2020 | 1.94 Mn |
| Jun 30, 2020 | 1.91 Mn |
| Jun 30, 2020 | 1.91 Mn |
| Mar 31, 2020 | 1.75 Mn |
| Mar 31, 2020 | 1.75 Mn |
| Dec 31, 2019 | 403,824.00 |
| Dec 31, 2019 | 403,824.00 |
| Sep 30, 2019 | 996,068.00 |
| Sep 30, 2019 | 996,068.00 |
| Jun 30, 2019 | 719,741.00 |
| Jun 30, 2019 | 719,741.00 |
| Mar 31, 2019 | 939,714.00 |
| Mar 31, 2019 | 939,714.00 |
| Dec 31, 2018 | 599,346.00 |
| Dec 31, 2018 | 599,346.00 |
| Sep 30, 2018 | 2.03 Mn |
| Sep 30, 2018 | 2.03 Mn |
| Jun 30, 2018 | 1.36 Mn |
| Jun 30, 2018 | 1.36 Mn |
| Mar 31, 2018 | 1.39 Mn |
| Mar 31, 2018 | 1.39 Mn |
| Dec 31, 2017 | 1.32 Mn |
| Dec 31, 2017 | 1.32 Mn |
| Sep 30, 2017 | 1.10 Mn |
| Sep 30, 2017 | 1.10 Mn |
| Jun 30, 2017 | 730,000.00 |
| Jun 30, 2017 | 730,000.00 |
| Mar 31, 2017 | 708,000.00 |
| Mar 31, 2017 | 708,000.00 |
| Dec 31, 2016 | 629,000.00 |
| Dec 31, 2016 | 629,000.00 |
| Sep 30, 2016 | 703,000.00 |
| Sep 30, 2016 | 703,000.00 |
| Jun 30, 2016 | 754,000.00 |
| Jun 30, 2016 | 754,000.00 |
| Mar 31, 2016 | 620,000.00 |
| Mar 31, 2016 | 620,000.00 |
| Dec 31, 2015 | 719,000.00 |
| Dec 31, 2015 | 719,000.00 |
| Sep 30, 2015 | 480,000.00 |
| Sep 30, 2015 | 480,000.00 |
| Jun 30, 2015 | 801,000.00 |
| Jun 30, 2015 | 801,000.00 |
| Mar 31, 2015 | 713,000.00 |
| Mar 31, 2015 | 713,000.00 |
| Dec 31, 2014 | 696,000.00 |
| Dec 31, 2014 | 696,000.00 |
| Sep 30, 2014 | 746,000.00 |
| Sep 30, 2014 | 746,000.00 |
| Jun 30, 2014 | 1.08 Mn |
| Jun 30, 2014 | 1.08 Mn |
| Mar 31, 2014 | 762,000.00 |
| Mar 31, 2014 | 762,000.00 |
| Dec 31, 2013 | 766,000.00 |
| Dec 31, 2013 | 766,000.00 |
| Sep 30, 2013 | 689,000.00 |
| Sep 30, 2013 | 689,000.00 |
| Jun 30, 2013 | 886,000.00 |
| Jun 30, 2013 | 886,000.00 |
| Mar 31, 2013 | 828,000.00 |
| Mar 31, 2013 | 828,000.00 |
| Dec 31, 2012 | 616,000.00 |
| Dec 31, 2012 | 616,000.00 |
| Sep 30, 2012 | 642,000.00 |
| Sep 30, 2012 | 642,000.00 |
| Jun 30, 2012 | 1.28 Mn |
| Jun 30, 2012 | 1.28 Mn |
| Mar 31, 2012 | 927,000.00 |
| Mar 31, 2012 | 927,000.00 |
| Dec 31, 2011 | 904,000.00 |
| Dec 31, 2011 | 904,000.00 |
| Sep 30, 2011 | 1.21 Mn |
| Sep 30, 2011 | 1.21 Mn |
| Jun 30, 2011 | 1.29 Mn |
| Jun 30, 2011 | 1.29 Mn |
| Mar 31, 2011 | 1.11 Mn |
| Mar 31, 2011 | 1.11 Mn |
| Dec 31, 2010 | 972,000.00 |
| Dec 31, 2010 | 972,000.00 |
| Sep 30, 2010 | 1.15 Mn |
| Sep 30, 2010 | 1.15 Mn |
| Jun 30, 2010 | 869,000.00 |
| Jun 30, 2010 | 869,000.00 |