Full House Resorts (FLL) Net of Acquisitions & Divestments (2010 - 2016)
Full House Resorts' Net of Acquisitions & Divestments came in at -$28.37 million for FY2016.
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Analysis
Full House Resorts (FLL) Net of Acquisitions & Divestments (2010 - 2016) Analysis & Trends
Going back to FY2009, Full House Resorts' Net of Acquisitions & Divestments data covers 6 years.
- The FY2016 figure represents the highest annual Net of Acquisitions & Divestments in data going back to FY2009.
- Per Business Quant, earlier years put Net of Acquisitions & Divestments at -$333,000 in FY2013 and $48.37 million in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Wynn Resorts | 43.71 Bn | 37.08 Bn | 655.12 Mn | -79.22 Mn |
| 2 | Vail Resorts | 27.65 Bn | 26.37 Bn | - | - |
| 3 | Las Vegas Sands | 25.32 Bn | 12.14 Bn | 1.47 Bn | - |
| 4 | DraftKings | 16.83 Bn | 12.62 Bn | 429.05 Mn | - |
| 5 | Flutter Entertainment | 14.10 Bn | 7.73 Bn | 1.52 Bn | - |
| 6 | Life Time Group Holdings | 10.44 Bn | 9.61 Bn | 419.01 Mn | - |
| 7 | MGM Resorts International | 8.43 Bn | -8.70 Mn | 1.73 Bn | 6.80 Mn |
| 8 | MSG Knickerbockers | 7.58 Bn | 7.19 Bn | 36.67 Mn | - |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | - |
| 10 | Full House Resorts | 19.79 Mn | -116.36 Mn | 42.29 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 25,000.00 |
| Jun 30, 2014 | 214,000.00 |
| Mar 31, 2014 | -1.96 Mn |
| Mar 31, 2013 | -94,000.00 |
| Dec 31, 2012 | 9.02 Mn |
| Sep 30, 2012 | -7.51 Mn |
| Jun 30, 2012 | 695,653.00 |
| Mar 31, 2012 | 46.17 Mn |
| Dec 31, 2011 | 75,157.00 |
| Sep 30, 2011 | 1.95 Mn |
| Jun 30, 2011 | 395,742.00 |
| Mar 31, 2011 | -19.91 Mn |
| Dec 31, 2010 | -4.55 Mn |
| Sep 30, 2010 | 3.10 Mn |
API Access
Full House Resorts Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=FLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "ticker": "FLL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-of-acquisitions-and-divestments&ticker=FLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();