M (MHO) Dividends Paid - Common and Prefferd (2013 - 2017)
M (MHO) reported Dividends Paid - Common and Prefferd of $3.66 million for FY2017, compared with -$4.88 million in FY2016.
Powered by 
Analysis
M (MHO) Dividends Paid - Common and Prefferd (2013 - 2017) Analysis & Trends
Dating back to FY2013, M's Dividends Paid - Common and Prefferd record includes 5 years.
- The FY2017 figure ranks as the highest annual Dividends Paid - Common and Prefferd in data going back to FY2013.
- According to Business Quant data, Dividends Paid - Common and Prefferd came in at -$4.88 million in FY2016, -$4.88 million in FY2015, -$4.88 million in FY2014 and -$3.66 million in FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Horton D R | 41.40 Bn | 32.29 Bn | 2.15 Bn |
| 2 | Pultegroup | 22.30 Bn | 15.67 Bn | 1.07 Bn |
| 3 | Lennar | 17.65 Bn | 8.17 Bn | 618.54 Mn |
| 4 | Nvr | 15.93 Bn | 9.22 Bn | 485.14 Mn |
| 5 | Toll Brothers | 12.89 Bn | 8.28 Bn | 625.22 Mn |
| 6 | Champion Homes | 4.36 Bn | 1.84 Bn | - |
| 7 | Meritage Homes | 4.18 Bn | 1.10 Bn | 513.60 Mn |
| 8 | Cavco Industries | 4.13 Bn | 2.89 Bn | - |
| 9 | M | 3.10 Bn | 290.98 Mn | - |
| 10 | Kb Home | 2.86 Bn | 2.07 Bn | -857.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 1.22 Mn |
| Jun 30, 2017 | 1.22 Mn |
| Mar 31, 2017 | 1.22 Mn |
| Dec 31, 2016 | -8.53 Mn |
| Sep 30, 2016 | 1.22 Mn |
| Jun 30, 2016 | 1.22 Mn |
| Mar 31, 2016 | 1.22 Mn |
| Dec 31, 2015 | -8.53 Mn |
| Sep 30, 2015 | 1.22 Mn |
| Jun 30, 2015 | 1.22 Mn |
| Mar 31, 2015 | 1.22 Mn |
| Dec 31, 2014 | -8.53 Mn |
| Sep 30, 2014 | 1.22 Mn |
| Jun 30, 2014 | 1.22 Mn |
| Mar 31, 2014 | 1.22 Mn |
| Dec 31, 2013 | -6.09 Mn |
| Sep 30, 2013 | 3.66 Mn |
| Jun 30, 2013 | -1.22 Mn |
API Access
M Dividends Paid - Common and Prefferd 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=dividends-paid-common-and-prefferd&ticker=MHO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "ticker": "MHO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=dividends-paid-common-and-prefferd&ticker=MHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();