Hyperscale Data (GPUS) Receivables (2010 - 2026)
Hyperscale Data (GPUS) reported Receivables of $18.79 million for Q2 2026, up 156.9% from $7.31 million a year earlier and up 10.3% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data posted Receivables of $14.55 million, up 136.0% from FY2024.
- Receivables has a five-year compound annual growth rate of 30.4% (FY2020 to FY2025).
- By year, Receivables came in at $6.17 million in FY2024 (-8.5%), $6.74 million in FY2023 (-65.1%), $19.32 million in FY2022 (+199.3%) and $6.46 million in FY2021 (+67.6%).
- The Q2 2026 figure ranks as the highest quarterly Receivables since Q3 2023.
- Year over year, Receivables has now increased in each of the last three quarters, with growth averaging 28.8% over the last eight quarters.
- The high point for year-over-year Receivables in five years was Q2 2022 (growth of 282.2%); the low point was Q3 2024 (a decline of 72.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $17.03 million (Q1 2026), $14.55 million (Q4 2025) and $6.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - | 333.19 Mn |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - | 9.38 Bn |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn | 1.58 Bn |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn | 27.21 Mn |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - | 4.96 Bn |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn | 21.47 Bn |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 Bn | 5.20 Bn |
| 8 | Bitmine Immersion Technologies | 15.32 Bn | 12.70 Bn | 40.81 Mn | - |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn | 334.55 Mn |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn | 18.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.79 Mn |
| Mar 31, 2026 | 17.03 Mn |
| Dec 31, 2025 | 14.55 Mn |
| Sep 30, 2025 | 6.69 Mn |
| Jun 30, 2025 | 7.31 Mn |
| Mar 31, 2025 | 9.15 Mn |
| Dec 31, 2024 | 6.17 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 | 13.53 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 |
API Access
Hyperscale Data Receivables API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=receivables&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "GPUS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();