SurgePays (SURG) Accumulated Expenses (2011 - 2016)
SurgePays (SURG) recorded Accumulated Expenses of $36,768 in Q3 2016, unchanged from the prior quarter.
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Analysis
SurgePays (SURG) Accumulated Expenses (2011 - 2016) Analysis & Trends
At the end of FY2014, SurgePays reported Accumulated Expenses of $300,993, up 15.6% from FY2013.
- Annual Accumulated Expenses has a three-year compound annual growth rate of 605.0% (FY2011 to FY2014).
- Across earlier years, Accumulated Expenses came in at $260,316 in FY2013 (+16.3%), $223,772 in FY2012 and $859.00 in FY2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 187.75 Bn | 152.16 Bn | 27.03 Bn |
| 2 | T-Mobile US | 170.67 Bn | 155.42 Bn | 14.76 Bn |
| 3 | At&T | 153.32 Bn | 110.77 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 148.71 Bn | 141.01 Bn | 318.12 Mn |
| 5 | Comcast | 80.85 Bn | 46.81 Bn | - |
| 6 | Vodafone Group Public | 39.22 Bn | 12.89 Bn | - |
| 7 | Chunghwa Telecom | 37.80 Bn | 30.30 Bn | 728.80 Mn |
| 8 | EchoStar | 24.89 Bn | 16.03 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.92 Bn | 14.94 Bn | 1.42 Bn |
| 10 | SurgePays | 3.71 Mn | -5.67 Mn | -425,171.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 36,768.00 |
| Jun 30, 2016 | 36,768.00 |
| Oct 31, 2014 | 315,859.00 |
| Jul 31, 2014 | 309,940.00 |
| Apr 30, 2014 | 300,993.00 |
| Jan 31, 2014 | 290,800.00 |
| Oct 31, 2013 | 280,359.00 |
| Jul 31, 2013 | 270,207.00 |
| Apr 30, 2013 | 260,316.00 |
| Jan 31, 2013 | 250,913.00 |
| Oct 31, 2012 | 241,382.00 |
| Jul 31, 2012 | 231,991.00 |
| Apr 30, 2012 | 223,772.00 |
| Jan 31, 2012 | 214,901.00 |
| Apr 30, 2011 | 859.00 |
API Access
SurgePays Accumulated Expenses 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=accumulated-expenses&ticker=SURG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SURG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=SURG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();