Hyperscale Data (GPUS) EV to CFO (2011 - 2023)
Hyperscale Data's (GPUS) EV to CFO was 33.72 for Q3 2023, down 89.2% from 312.53 a year earlier and down 4.7% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) EV to CFO (2011 - 2023) Analysis & Trends
Over the twelve months ended Sep 30, 2023, Hyperscale Data's EV to CFO came in at 26.12, down 91.4% year-over-year; for FY2022, it came in at 3.36.
- Five-year quarterly EV to CFO spans a low of 3.36 in Q4 2022 and a high of 312.53 in Q3 2022.
- Per Business Quant data, the three quarters before Q3 2023 came in at 35.40 (Q2 2023), 47.36 (Q1 2023) and 3.36 (Q4 2022).
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 |
|---|---|
| Sep 30, 2023 | 33.72 |
| Jun 30, 2023 | 35.40 |
| Mar 31, 2023 | 47.36 |
| Dec 31, 2022 | 3.36 |
| Sep 30, 2022 | 312.53 |
| Sep 30, 2016 | 26.22 Mn |
| Mar 31, 2015 | 8.12 Mn |
| Dec 31, 2014 | 13.60 Mn |
| Sep 30, 2014 | 25.60 Mn |
| Jun 30, 2014 | 9.42 Mn |
| Mar 31, 2014 | 47.80 Mn |
| Dec 31, 2013 | 66.30 Mn |
| Dec 31, 2012 | 24.97 Mn |
| Sep 30, 2012 | 31.98 Mn |
| Jun 30, 2012 | 11.81 Mn |
| Mar 31, 2012 | 15.35 Mn |
| Dec 31, 2011 | 15.43 Mn |
| Sep 30, 2011 | 31.25 Mn |
| Jun 30, 2011 | 30.59 Mn |
API Access
Hyperscale Data EV to CFO 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-cfo&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();