Hyperscale Data (GPUS) EV to FCF (2011 - 2015)
Hyperscale Data's (GPUS) EV to FCF stood at 10668492.23 in Q1 2015, down 96.3% from 285642865.42 a year earlier and down 35.5% from the prior quarter.
Hyperscale Data (GPUS) EV to FCF (2011 - 2015) Analysis & Trends
On a TTM basis, Hyperscale Data's EV to FCF came in at 10668481.71 as of Mar 31, 2015, down 96.3% year-over-year; for FY2014, it came in at 16545643.02.
- Across earlier years, EV to FCF came in at 114381756.88 in FY2012 (+403.6%) and 22713347.26 in FY2011.
- The Q1 2015 figure is the lowest quarterly EV to FCF in data going back to Q2 2011.
- Per Business Quant, the preceding three quarters came in at 16545643.02 (Q4 2014), 52094447.86 (Q3 2014) and 11667504.69 (Q2 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - |
| 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 |
| 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 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 10.67 Mn |
| Dec 31, 2014 | 16.55 Mn |
| Sep 30, 2014 | 52.09 Mn |
| Jun 30, 2014 | 11.67 Mn |
| Mar 31, 2014 | 285.64 Mn |
| Dec 31, 2012 | 114.38 Mn |
| Jun 30, 2012 | 21.06 Mn |
| Mar 31, 2012 | 25.52 Mn |
| Dec 31, 2011 | 22.71 Mn |
| Sep 30, 2011 | 15.47 Mn |
| Jun 30, 2011 | 38.35 Mn |
Hyperscale Data EV to FCF 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-fcf&ticker=GPUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();