Hyperscale Data (GPUS) Receivables (2010 - 2026)
Hyperscale Data's (GPUS) quarterly Receivables came in at $2.3 million in Q1 2026, down 75.07% year-on-year from $9.2 million in Q1 2025, and down 84.31% on a QoQ basis from $14.5 million in Q4 2025.
Hyperscale Data (GPUS) Receivables (2010 - 2026) Analysis & Trends
Hyperscale Data (GPUS) has 17 years of Receivables data on file, last reported at $2.3 million in Q1 2026.
- On a quarterly basis, Receivables fell 75.07% year-over-year to $2.3 million in Q1 2026; TTM through Mar 2026 was $2.3 million, a 75.07% decrease from a year earlier, with the FY2025 full-year figure at $14.5 million, up 962.67% from the prior year.
- Receivables for Q1 2026 stood at $2.3 million, down from $14.5 million in the prior quarter.
- Over the last five years, Receivables for GPUS reached as high as $24.7 million in Q3 2023 and fell as low as $1.2 million in Q2 2023.
- Historically, Receivables has averaged $10.6 million across 5 years, with a median of $9.2 million in 2025.
- Across the five-year window, Receivables sank 93.55% in 2023 and soared 1033.48% in 2024, its largest moves.
- Year by year, Receivables stood at $19.3 million in 2022, then tumbled by 65.14% to $6.7 million in 2023, then slumped by 79.68% to $1.4 million in 2024, then jumped by 962.67% to $14.5 million in 2025, then tumbled by 84.31% to $2.3 million in 2026.
- Per Business Quant data, the three most recent Receivables figures were $2.3 million in Q1 2026, $14.5 million in Q4 2025, and $2.8 million in Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 375.76 Bn | 366.42 Bn | -3.10 Bn | 15.83 Bn |
| 2 | Rtx | 290.54 Bn | 282.23 Bn | 9.91 Bn | 33.28 Bn |
| 3 | Boeing | 170.29 Bn | 150.27 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 133.52 Bn | 129.73 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 113.70 Bn | 111.26 Bn | 854.00 Mn | 940.00 Mn |
| 6 | General Dynamics | 103.50 Bn | 99.17 Bn | 6.76 Bn | 48.50 Bn |
| 7 | Northrop Grumman | 76.72 Bn | 74.42 Bn | 3.72 Bn | 10.26 Bn |
| 8 | TransDigm | 73.38 Bn | 69.50 Bn | 1.51 Bn | 2.03 Bn |
| 9 | L3Harris Technologies | 51.84 Bn | 51.25 Bn | 1.40 Bn | 5.44 Bn |
| 10 | Hyperscale Data | 45.42 Mn | 34.87 Mn | 15.07 Mn | 2.28 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | 2.28 Mn |
| Dec 31, 2025 | 14.55 Mn |
| Sep 30, 2025 | 2.81 Mn |
| Jun 30, 2025 | 7.31 Mn |
| Mar 31, 2025 | 9.15 Mn |
| Dec 31, 2024 | 1.37 Mn |
| Sep 30, 2024 | 6.82 Mn |
| Jun 30, 2024 | 13.21 Mn |
| Mar 31, 2024 | 11.58 Mn |
| Dec 31, 2023 | 6.74 Mn |
| Sep 30, 2023 | 24.65 Mn |
| Jun 30, 2023 | 1.17 Mn |
| Mar 31, 2023 | 14.48 Mn |
| Dec 31, 2022 | 19.32 Mn |
| Sep 30, 2022 | 19.23 Mn |
| Jun 30, 2022 | 18.08 Mn |
| Mar 31, 2022 | 6.98 Mn |
| Dec 31, 2021 | 6.46 Mn |
| Sep 30, 2021 | 5.12 Mn |
| Jun 30, 2021 | 4.73 Mn |