Hyperscale Data (GPUS) Retained Earnings (2010 - 2026)
Hyperscale Data (GPUS) reported Retained Earnings of -$790.5 million for Q2 2026, compared with -$686.96 million a year earlier.
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Analysis
Hyperscale Data (GPUS) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data posted Retained Earnings of -$734.56 million.
- By year, Retained Earnings came in at -$628.95 million in FY2024, -$567.47 million in FY2023, -$329.08 million in FY2022 and -$145.6 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Retained Earnings in data going back to Q4 2010.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$767.02 million (Q1 2026), -$734.56 million (Q4 2025) and -$702.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.06 Bn | 8.28 Bn | - | 34.43 Bn |
| 2 | Block | 46.83 Bn | 18.13 Bn | 3.17 Bn | 3.45 Bn |
| 3 | Coinbase Global | 44.79 Bn | 1.59 Bn | - | 5.47 Bn |
| 4 | Corpay | 26.84 Bn | 16.73 Bn | - | 10.86 Bn |
| 5 | Fiserv | 25.67 Bn | 22.34 Bn | 2.90 Bn | 28.25 Bn |
| 6 | Global Payments | 23.03 Bn | 817.49 Mn | 2.03 Bn | 4.01 Bn |
| 7 | Guidewire Software | 15.59 Bn | 12.15 Bn | 269.68 Mn | -1.02 Bn |
| 8 | Bitmine Immersion Technologies | 12.59 Bn | 9.97 Bn | 40.81 Mn | -8.77 Bn |
| 9 | Chime Financial | 11.57 Bn | 7.36 Bn | 594.87 Mn | -3.29 Bn |
| 10 | Hyperscale Data | 67.39 Mn | -130.92 Mn | 8.80 Mn | -790.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -790.50 Mn |
| Mar 31, 2026 | -767.02 Mn |
| Dec 31, 2025 | -734.56 Mn |
| Sep 30, 2025 | -702.21 Mn |
| Jun 30, 2025 | -686.96 Mn |
| Mar 31, 2025 | -665.69 Mn |
| Dec 31, 2024 | -628.95 Mn |
| Sep 30, 2024 | -627.12 Mn |
| Jun 30, 2024 | -600.28 Mn |
| Mar 31, 2024 | -565.04 Mn |
| Dec 31, 2023 | -567.47 Mn |
| Sep 30, 2023 | -467.09 Mn |
| Jun 30, 2023 | -444.37 Mn |
| Mar 31, 2023 | -378.63 Mn |
| Dec 31, 2022 | -329.08 Mn |
| Sep 30, 2022 | -207.65 Mn |
| Jun 30, 2022 | -200.18 Mn |
| Mar 31, 2022 | -174.38 Mn |
| Dec 31, 2021 | -145.60 Mn |
| Sep 30, 2021 | -128.77 Mn |
API Access
Hyperscale Data Retained Earnings 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=retained-earnings&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();