Hyperscale Data (GPUS) Exchange Rate Effect (2010 - 2026)
Hyperscale Data (GPUS) reported Exchange Rate Effect of $559,000 for Q2 2026.
Analysis
Hyperscale Data (GPUS) Exchange Rate Effect (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hyperscale Data's Exchange Rate Effect came in at $648,000; for FY2025, it came in at $597,000.
- By year, Exchange Rate Effect came in at $30,000 in FY2024, -$776,000 in FY2023, $864,000 in FY2022 and -$266,000 in FY2021.
- Five-year quarterly Exchange Rate Effect spans a low of -$2.78 million in Q1 2023 and a high of $2.68 million in Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | -9.09 Mn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 29.00 Mn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | -55,000.00 |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | -2.07 Mn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | -42.20 Mn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | -12.00 Mn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 3.15 Mn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | - |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | -2.64 Mn |
| 10 | Hyperscale Data | 80.79 Mn | -111.20 Mn | 8.80 Mn | 559,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 559,000.00 |
| Mar 31, 2026 | -502,000.00 |
| Dec 31, 2025 | 591,000.00 |
| Mar 31, 2025 | 6,000.00 |
| Dec 31, 2024 | 472,000.00 |
| Sep 30, 2024 | -794,000.00 |
| Jun 30, 2024 | -222,000.00 |
| Mar 31, 2024 | 574,000.00 |
| Dec 31, 2023 | -465,000.00 |
| Sep 30, 2023 | -213,000.00 |
| Jun 30, 2023 | 2.68 Mn |
| Mar 31, 2023 | -2.78 Mn |
| Dec 31, 2022 | -56,000.00 |
| Sep 30, 2022 | 1.07 Mn |
| Jun 30, 2022 | -209,000.00 |
| Mar 31, 2022 | 57,000.00 |
| Dec 31, 2021 | -193,000.00 |
| Sep 30, 2021 | -166,000.00 |
| Jun 30, 2021 | -59,000.00 |
| Mar 31, 2021 | 152,000.00 |
API Access
Hyperscale Data Exchange Rate Effect 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=exchange-rate-effect&ticker=GPUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();