Hyperscale Data (GPUS) Preferred Dividend Payments (2017 - 2026)
Hyperscale Data (GPUS) reported Preferred Dividend Payments of $2.3 million for Q2 2026, up 3.7% from $2.22 million a year earlier but down 8.3% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Preferred Dividend Payments (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hyperscale Data's Preferred Dividend Payments came in at $9.27 million, up 34.5% year-over-year; for FY2025, it was $8.64 million, up 63.8% from FY2024.
- Preferred Dividend Payments has increased for three consecutive years, with a five-year compound annual growth rate of 243.8% (FY2020 to FY2025).
- By year, Preferred Dividend Payments came in at $5.28 million in FY2024 (+283.8%), $1.38 million in FY2023 (+249.9%), $393,000 in FY2022 and $18,000 in FY2021 (unchanged).
- Five-year quarterly Preferred Dividend Payments spans a low of $4,000 in Q3 2021 and a high of $2.51 million in Q1 2026.
- Year over year, Preferred Dividend Payments has now increased in each of the last 13 quarters, with growth averaging 93.0% over the last eight quarters.
- The high point for year-over-year Preferred Dividend Payments in five years was Q2 2023 (growth of 629.5%); the low point was Q4 2021 (a decline of 37.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.51 million (Q1 2026), $2.22 million (Q4 2025) and $2.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Pref Dividends (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - | - |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - | - |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn | - |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn | - |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - | - |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn | - |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 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 | - |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn | 2.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.30 Mn |
| Mar 31, 2026 | 2.51 Mn |
| Dec 31, 2025 | 2.22 Mn |
| Sep 30, 2025 | 2.24 Mn |
| Jun 30, 2025 | 2.22 Mn |
| Mar 31, 2025 | 1.97 Mn |
| Dec 31, 2024 | 1.38 Mn |
| Sep 30, 2024 | 1.33 Mn |
| Jun 30, 2024 | 1.31 Mn |
| Mar 31, 2024 | 1.26 Mn |
| Dec 31, 2023 | 412,000.00 |
| Sep 30, 2023 | 412,000.00 |
| Jun 30, 2023 | 321,000.00 |
| Mar 31, 2023 | 229,000.00 |
| Dec 31, 2022 | 154,000.00 |
| Sep 30, 2022 | 190,000.00 |
| Jun 30, 2022 | 44,000.00 |
| Mar 31, 2022 | 5,000.00 |
| Dec 31, 2021 | 5,000.00 |
| Sep 30, 2021 | 4,000.00 |
API Access
Hyperscale Data Preferred Dividend Payments 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=preferred-dividend-payments&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "preferred-dividend-payments", "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=preferred-dividend-payments&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();