Universal Insurance Holdings (UVE) Dividends payables (2011 - 2019)
Universal Insurance Holdings' Dividends payables was $5.52 million in Q2 2019, down 2.1% from $5.64 million a year earlier.
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Analysis
Universal Insurance Holdings (UVE) Dividends payables (2011 - 2019) Analysis & Trends
At the end of FY2017, Dividends payables at Universal Insurance Holdings came in at $40,000.
- The Q2 2019 figure marks the lowest quarterly Dividends payables since Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | - |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | - |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 58.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | - |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | -1.28 Bn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | - |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | - |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | - |
| 10 | Universal Insurance Holdings | 1.18 Bn | -1.16 Bn | 182.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 5.52 Mn |
| Jun 30, 2018 | 5.64 Mn |
| Dec 31, 2017 | 40,000.00 |
| Sep 30, 2017 | 4.85 Mn |
| Sep 30, 2016 | 4.90 Mn |
| Jun 30, 2016 | 4.91 Mn |
| Sep 30, 2015 | 4.29 Mn |
| Jun 30, 2015 | 4.28 Mn |
| Sep 30, 2014 | 3.43 Mn |
| Mar 31, 2013 | 3.27 Mn |
| Sep 30, 2012 | 3.29 Mn |
| Jun 30, 2012 | 3.21 Mn |
| Mar 31, 2012 | 4.01 Mn |
| Sep 30, 2011 | 3.20 Mn |
API Access
Universal Insurance Holdings Dividends payables 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-payables&ticker=UVE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "ticker": "UVE", "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-payables&ticker=UVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();