Dogecoin Cash (DOGP) Total Non-Current Liabilities (2010 - 2015)
Dogecoin Cash's Total Non-Current Liabilities was $354,952 in Q4 2015, down 88.0% from $2.96 million a year earlier.
Analysis
Dogecoin Cash (DOGP) Total Non-Current Liabilities (2010 - 2015) Analysis & Trends
From Q4 2010 onward, Dogecoin Cash has reported Total Non-Current Liabilities for 12 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 166.9% (FY2010 to FY2015).
- In earlier years, Total Non-Current Liabilities was $2.96 million in FY2014, $222,732 in FY2013 and $1,049 in FY2011 (-60.0%).
- The Q4 2015 figure marks the lowest quarterly Total Non-Current Liabilities since Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Dogecoin Cash | 1.63 Mn | 3.33 Mn | 104,560.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 354,952.00 |
| Mar 31, 2015 | 2.72 Mn |
| Dec 31, 2014 | 2.96 Mn |
| Sep 30, 2014 | 1.50 Mn |
| Jun 30, 2014 | 528,237.00 |
| Dec 31, 2013 | 222,732.00 |
| Jun 30, 2012 | 262.00 |
| Mar 31, 2012 | 656.00 |
| Dec 31, 2011 | 1,049.00 |
| Sep 30, 2011 | 1,442.00 |
| Jun 30, 2011 | 1,836.00 |
| Dec 31, 2010 | 2,623.00 |
API Access
Dogecoin Cash Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DOGP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "DOGP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=DOGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();