Hyperscale Data (GPUS) Receivables (2010 - 2026)
Hyperscale Data (GPUS) posted quarterly Receivables of $2.3 million for Q1 2026, down 75.07% year-over-year from $9.2 million in Q1 2025, and down 84.31% quarter-over-quarter from $14.5 million in Q4 2025.
Hyperscale Data (GPUS) Receivables (2010 - 2026) Analysis & Trends
Hyperscale Data (GPUS) has reported Receivables for 17 consecutive years, with $2.3 million the latest figure, recorded in Q1 2026.
- In Q1 2026, Receivables fell 75.07% year-over-year to $2.3 million; the TTM figure through Mar 2026 stood at $2.3 million (down 75.07% YoY), while the FY2025 annual figure was $14.5 million, up 962.67% from the prior year.
- Receivables fell to $2.3 million in Q1 2026 per GPUS's latest filing, from $14.5 million in the prior quarter.
- Across five years, Receivables topped out at $24.7 million in Q3 2023 and bottomed at $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.
- Annual changes were most pronounced in 2023 — Receivables tumbled 93.55% — and 2024, when it surged 1033.48%.
- Hyperscale Data's 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 surged by 962.67% to $14.5 million in 2025, then tumbled by 84.31% to $2.3 million in 2026.
- Business Quant data shows GPUS's Receivables at $2.3 million in Q1 2026, $14.5 million in Q4 2025, and $2.8 million in Q3 2025.
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Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 364.10 Bn | 354.76 Bn | 6.95 Bn | 15.83 Bn |
| 2 | Rtx | 284.63 Bn | 276.33 Bn | 9.91 Bn | 33.28 Bn |
| 3 | Boeing | 168.59 Bn | 148.57 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 130.27 Bn | 126.48 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 109.09 Bn | 108.53 Bn | 951.00 Mn | 1.04 Bn |
| 6 | General Dynamics | 103.32 Bn | 98.98 Bn | 6.76 Bn | 48.50 Bn |
| 7 | Northrop Grumman | 78.36 Bn | 76.05 Bn | 3.72 Bn | 10.26 Bn |
| 8 | TransDigm | 68.58 Bn | 65.81 Bn | 1.63 Bn | 2.16 Bn |
| 9 | Axon Enterprise | 51.17 Bn | 50.50 Bn | 546.45 Mn | 1.52 Bn |
| 10 | Hyperscale Data | 34.27 Mn | 3.88 Mn | 15.07 Mn | 17.03 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 |