Hyperscale Data (GPUS) EV to EBITDA (2011 - 2022)
Hyperscale Data's (GPUS) EV to EBITDA was 90840.65 for Q2 2021.
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Analysis
Hyperscale Data (GPUS) EV to EBITDA (2011 - 2022) Analysis & Trends
Over the twelve months ended Jun 30, 2021, Hyperscale Data's EV to EBITDA came in at 90837.86; for FY2012, it came in at 23310026.28, up 137.9% from FY2011.
- By year, EV to EBITDA came in at 9797914.51 in FY2011.
- The Q2 2021 figure ranks as the highest quarterly EV to EBITDA in data going back to Q3 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | PayPal Holdings | 50.08 Bn | 8.30 Bn | - |
| 2 | Block | 46.71 Bn | 18.00 Bn | 3.17 Bn |
| 3 | Coinbase Global | 45.00 Bn | 1.80 Bn | - |
| 4 | Corpay | 26.84 Bn | 16.72 Bn | - |
| 5 | Fiserv | 25.68 Bn | 22.36 Bn | 2.90 Bn |
| 6 | Global Payments | 22.94 Bn | 732.47 Mn | 2.03 Bn |
| 7 | Guidewire Software | 15.52 Bn | 12.08 Bn | 269.68 Mn |
| 8 | Bitmine Immersion Technologies | 12.62 Bn | 10.00 Bn | 40.81 Mn |
| 9 | Chime Financial | 11.56 Bn | 7.35 Bn | 594.87 Mn |
| 10 | Hyperscale Data | 67.58 Mn | -130.73 Mn | 8.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 91,706.35 |
| Sep 30, 2021 | 472,820.52 |
| Jun 30, 2021 | 79,899.35 |
| Mar 31, 2021 | 537,369.17 |
| Dec 31, 2020 | 437,350.71 |
| Sep 30, 2018 | 55.99 Mn |
| Jun 30, 2018 | 220.93 Mn |
| Mar 31, 2013 | 136.51 Mn |
| Dec 31, 2012 | 43.14 Mn |
| Sep 30, 2012 | 15.70 Mn |
| Jun 30, 2012 | 6.42 Mn |
| Mar 31, 2012 | 8.55 Mn |
| Dec 31, 2011 | 9.80 Mn |
| Sep 30, 2011 | 6.53 Mn |
API Access
Hyperscale Data EV to EBITDA 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=ev-to-ebitda&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();