Hyperscale Data (GPUS) Dividends Paid - Common and Prefferd (2017 - 2026)
Hyperscale Data's Dividends Paid - Common and Prefferd was $2.3 million in Q2 2026, up 4.7% from $2.2 million a year earlier but down 8.3% from the prior quarter.
Hyperscale Data (GPUS) Dividends Paid - Common and Prefferd (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hyperscale Data's Dividends Paid - Common and Prefferd was $9.19 million through Jun 30, 2026, up 33.8% year-over-year; for FY2025, it was $8.55 million, up 62.0% from FY2024.
- Dividends Paid - Common and Prefferd has now increased for three consecutive years, with a five-year compound annual growth rate of 243.0% (FY2020 to FY2025).
- In earlier years, Dividends Paid - Common and Prefferd was $5.28 million in FY2024 (+283.8%), $1.38 million in FY2023 (+249.9%), $393,000 in FY2022 and $18,000 in FY2021 (unchanged).
- Quarterly Dividends Paid - Common and Prefferd has moved between $4,000 (Q3 2021) and $2.51 million (Q1 2026) over five years.
- Compared with a year earlier, Dividends Paid - Common and Prefferd has increased for 13 straight quarters, with growth averaging 92.1% over the last eight quarters.
- The best year-over-year quarter for Dividends Paid - Common and Prefferd over five years was Q2 2022 (growth of 780.0%); the worst was Q4 2021 (a decline of 37.5%).
- Per Business Quant data, GPUS's Dividends Paid - Common and Prefferd in the three quarters before Q2 2026 was $2.51 million (Q1 2026), $2.22 million (Q4 2025) and $2.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - | - |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - | 122.00 Mn |
| 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 | 66.47 Mn |
| 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
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.30 Mn |
| Mar 31, 2026 | 2.51 Mn |
| Dec 31, 2025 | 2.22 Mn |
| Sep 30, 2025 | 2.17 Mn |
| Jun 30, 2025 | 2.20 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 | 413,000.00 |
| 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 |
Hyperscale Data Dividends Paid - Common and Prefferd 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=dividends-paid-common-and-prefferd&ticker=GPUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "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=dividends-paid-common-and-prefferd&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();