Marchex (MCHX) Dividend Coverage Ratio (2010 - 2018)
Marchex's Dividend Coverage Ratio came in at -0.12 for FY2018.
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Analysis
Marchex (MCHX) Dividend Coverage Ratio (2010 - 2018) Analysis & Trends
Going back to FY2009, Marchex's Dividend Coverage Ratio data covers 7 years.
- The FY2018 figure represents the highest annual Dividend Coverage Ratio since FY2015.
- Per Business Quant, earlier years put Dividend Coverage Ratio at 15.84 in FY2015 and -5.77 in FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn | - |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - | 2.99 |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn | - |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 157.86 Bn | 136.32 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 118.67 Bn | 100.80 Bn | 2.51 Bn | - |
| 7 | Intuit | 92.65 Bn | 72.00 Bn | 3.44 Bn | - |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - | - |
| 9 | Strategy | 54.13 Bn | 47.12 Bn | 81.55 Mn | - |
| 10 | Marchex | 56.72 Mn | 17.82 Mn | 6.60 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | -59.82 |
| Mar 31, 2018 | -0.04 |
| Jun 30, 2015 | 24.64 |
| Mar 31, 2015 | 5.44 |
| Dec 31, 2014 | 0.63 |
| Sep 30, 2014 | -25.12 |
| Jun 30, 2014 | 1.12 |
| Mar 31, 2014 | 1.06 |
| Dec 31, 2012 | -6.78 |
| Sep 30, 2012 | -0.65 |
| Jun 30, 2012 | 0.57 |
| Mar 31, 2012 | -0.96 |
| Dec 31, 2011 | 1.24 |
| Sep 30, 2011 | 1.61 |
| Jun 30, 2011 | 0.11 |
| Mar 31, 2011 | 0.81 |
| Dec 31, 2010 | 0.84 |
| Sep 30, 2010 | -0.78 |
API Access
Marchex Dividend Coverage Ratio 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=dividend-coverage-ratio&ticker=MCHX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "ticker": "MCHX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=dividend-coverage-ratio&ticker=MCHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();