Hyperscale Data (GPUS) Price to FCF (2011 - 2015)
Hyperscale Data's Price to FCF came in at 10668496.10 for Q1 2015, down 96.3% from 285642906.03 a year earlier and down 35.5% from the prior quarter.
Analysis
Hyperscale Data (GPUS) Price to FCF (2011 - 2015) Analysis & Trends
For FY2014, Hyperscale Data's Price to FCF was 16545647.23.
- Going back by year, Price to FCF was 114381799.23 in FY2012 (+403.6%) and 22713350.37 in FY2011.
- The Q1 2015 figure represents the lowest quarterly Price to FCF in data going back to Q2 2011.
- Business Quant data shows GPUS's Price to FCF at 16545647.23 (Q4 2014), 52094457.51 (Q3 2014) and 11667507.64 (Q2 2014) in the three quarters before Q1 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coinbase Global | 49.93 Bn | 6.74 Bn | - |
| 2 | PayPal Holdings | 45.74 Bn | 3.96 Bn | - |
| 3 | Block | 44.49 Bn | 15.75 Bn | 3.17 Bn |
| 4 | Iren | 30.93 Bn | 18.53 Bn | 103.89 Mn |
| 5 | Corpay | 25.61 Bn | 15.81 Bn | - |
| 6 | Fiserv | 24.13 Bn | 20.83 Bn | 2.90 Bn |
| 7 | Global Payments | 21.34 Bn | -222.16 Mn | 2.03 Bn |
| 8 | Bitmine Immersion Technologies | 15.51 Bn | 12.89 Bn | 40.81 Mn |
| 9 | Guidewire Software | 12.73 Bn | 9.30 Bn | 269.68 Mn |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn |
Historic Data
Download Data
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 |
API Access
Hyperscale Data Price 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=price-to-fcf&ticker=GPUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-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=price-to-fcf&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();