Hyperscale Data (GPUS) Gross Profit (2010 - 2026)
Hyperscale Data (GPUS) reported Gross Profit of $8.8 million for Q2 2026, up 43.5% from $6.13 million a year earlier but down 41.6% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Gross Profit (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hyperscale Data's Gross Profit came in at $34.03 million, up 60.3% year-over-year; for FY2025, it was $21.57 million, down 10.9% from FY2024.
- Gross Profit has declined for three consecutive years, though with a five-year compound annual growth rate of 23.5% (FY2020 to FY2025).
- By year, Gross Profit came in at $24.22 million in FY2024 (-2.3%), $24.78 million in FY2023 (-51.1%), $50.68 million in FY2022 (+77.6%) and $28.54 million in FY2021 (+279.9%).
- Five-year quarterly Gross Profit spans a low of -$36.07 million in Q3 2021 and a high of $22.33 million in Q1 2022.
- Year over year, Gross Profit has now increased in each of the last three quarters, with growth averaging 57.8% over the last seven quarters.
- The high point for year-over-year Gross Profit in five years was Q4 2022 (growth of 984.2%); the low point was Q2 2022 (a decline of 91.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.07 million (Q1 2026), $3.9 million (Q4 2025) and $6.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | PayPal Holdings | 49.96 Bn | 8.18 Bn | - |
| 2 | Block | 45.64 Bn | 16.94 Bn | 3.17 Bn |
| 3 | Coinbase Global | 43.33 Bn | 136.50 Mn | - |
| 4 | Corpay | 26.79 Bn | 16.68 Bn | - |
| 5 | Fiserv | 26.58 Bn | 23.26 Bn | 2.90 Bn |
| 6 | Global Payments | 22.29 Bn | 83.30 Mn | 2.03 Bn |
| 7 | Guidewire Software | 15.90 Bn | 12.47 Bn | 269.68 Mn |
| 8 | Bitmine Immersion Technologies | 12.34 Bn | 9.72 Bn | 40.81 Mn |
| 9 | Jack Henry & Associates | 11.68 Bn | 11.59 Bn | 273.85 Mn |
| 10 | Hyperscale Data | 77.84 Mn | -120.46 Mn | 8.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.80 Mn |
| Mar 31, 2026 | 15.07 Mn |
| Dec 31, 2025 | 3.90 Mn |
| Sep 30, 2025 | 6.27 Mn |
| Jun 30, 2025 | 6.13 Mn |
| Mar 31, 2025 | 5.28 Mn |
| Dec 31, 2024 | 1.27 Mn |
| Sep 30, 2024 | 8.55 Mn |
| Jun 30, 2024 | -3.79 Mn |
| Mar 31, 2024 | 18.19 Mn |
| Dec 31, 2023 | 753,000.00 |
| Sep 30, 2023 | 8.73 Mn |
| Jun 30, 2023 | 17.89 Mn |
| Mar 31, 2023 | 2.49 Mn |
| Dec 31, 2022 | 6.71 Mn |
| Sep 30, 2022 | 18.82 Mn |
| Jun 30, 2022 | 5.00 Mn |
| Mar 31, 2022 | 22.33 Mn |
| Dec 31, 2021 | 619,000.00 |
| Sep 30, 2021 | -36.07 Mn |
API Access
Hyperscale Data Gross Profit 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=gross-profit&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();