Hyperscale Data (GPUS) Selling, General & Administrative (2010 - 2026)
Hyperscale Data's Selling, General & Administrative came in at $19.85 million for Q2 2026, up 101.2% from $9.87 million a year earlier and up 7.1% from the prior quarter.
Powered by 
Analysis
Hyperscale Data (GPUS) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hyperscale Data reported Selling, General & Administrative of $69.34 million, up 112.9% year-over-year; for FY2025, it came in at $50.03 million, up 42.0% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 31.9% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $35.25 million in FY2024 (-48.3%), $68.2 million in FY2023 (+13.1%), $60.3 million in FY2022 (+64.4%) and $36.69 million in FY2021 (+193.0%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative since Q2 2023.
- Year-over-year, Selling, General & Administrative increased in two of the last seven quarters, with growth averaging 8.0%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2021 (growth of 298.2%), and the weakest in Q4 2024 (a decline of 90.0%).
- Business Quant data shows GPUS's Selling, General & Administrative at $18.53 million (Q1 2026), $19.62 million (Q4 2025) and $11.35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 49.93 Bn | 6.74 Bn | - | 356.92 Mn |
| 2 | PayPal Holdings | 45.74 Bn | 3.96 Bn | - | 503.00 Mn |
| 3 | Block | 44.49 Bn | 15.75 Bn | 3.17 Bn | 825.87 Mn |
| 4 | Iren | 30.93 Bn | 18.53 Bn | 103.89 Mn | 128.25 Mn |
| 5 | Corpay | 25.61 Bn | 15.81 Bn | - | 223.67 Mn |
| 6 | Fiserv | 24.13 Bn | 20.83 Bn | 2.90 Bn | 1.89 Bn |
| 7 | Global Payments | 21.34 Bn | -222.16 Mn | 2.03 Bn | 1.69 Bn |
| 8 | Bitmine Immersion Technologies | 15.51 Bn | 12.89 Bn | 40.81 Mn | 37.27 Mn |
| 9 | Guidewire Software | 12.73 Bn | 9.30 Bn | 269.68 Mn | 51.77 Mn |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn | 19.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.85 Mn |
| Mar 31, 2026 | 18.53 Mn |
| Dec 31, 2025 | 19.62 Mn |
| Sep 30, 2025 | 11.35 Mn |
| Jun 30, 2025 | 9.87 Mn |
| Mar 31, 2025 | 9.20 Mn |
| Dec 31, 2024 | 1.52 Mn |
| Sep 30, 2024 | 12.00 Mn |
| Jun 30, 2024 | 11.36 Mn |
| Mar 31, 2024 | 10.37 Mn |
| Dec 31, 2023 | 15.15 Mn |
| Sep 30, 2023 | 16.34 Mn |
| Jun 30, 2023 | 21.32 Mn |
| Mar 31, 2023 | 21.57 Mn |
| Dec 31, 2022 | 15.95 Mn |
| Sep 30, 2022 | 15.36 Mn |
| Jun 30, 2022 | 19.03 Mn |
| Mar 31, 2022 | 13.69 Mn |
| Dec 31, 2021 | 12.31 Mn |
| Sep 30, 2021 | 11.29 Mn |
API Access
Hyperscale Data Selling, General & Administrative 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=selling-general-and-administrative&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();