Full House Resorts (FLL) Depreciation and Depletion (2010 - 2016)
Full House Resorts (FLL) reported Depreciation and Depletion of $2.13 million for Q4 2016, up 28.1% from $1.66 million a year earlier but down 3.2% from the prior quarter.
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Analysis
Full House Resorts (FLL) Depreciation and Depletion (2010 - 2016) Analysis & Trends
For FY2016, Full House Resorts posted Depreciation and Depletion of $7.9 million, up 23.6% from FY2015.
- Depreciation and Depletion has a five-year compound annual growth rate of 13.4% (FY2011 to FY2016).
- By year, Depreciation and Depletion came in at $6.39 million in FY2015 (-9.3%), $7.04 million in FY2014 (+3.0%), $6.84 million in FY2013 (+29.8%) and $5.27 million in FY2012 (+25.3%).
- Five-year quarterly Depreciation and Depletion spans a low of $1.49 million in Q1 2015 and a high of $2.2 million in Q3 2016.
- Year over year, Depreciation and Depletion has now increased in each of the last five quarters, with growth averaging 7.4% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q3 2016 (growth of 28.9%); the low point was Q1 2015 (a decline of 17.8%).
- Per Business Quant data, the three quarters before Q4 2016 came in at $2.2 million (Q3 2016), $1.89 million (Q2 2016) and $1.69 million (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Wynn Resorts | 43.71 Bn | 37.08 Bn | 655.12 Mn | 147.30 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 | - |
| 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 |
|---|---|
| Dec 31, 2016 | 2.13 Mn |
| Sep 30, 2016 | 2.20 Mn |
| Jun 30, 2016 | 1.89 Mn |
| Mar 31, 2016 | 1.69 Mn |
| Dec 31, 2015 | 1.66 Mn |
| Sep 30, 2015 | 1.70 Mn |
| Jun 30, 2015 | 1.53 Mn |
| Mar 31, 2015 | 1.49 Mn |
| Dec 31, 2014 | 1.52 Mn |
| Sep 30, 2014 | 1.90 Mn |
| Jun 30, 2014 | 1.81 Mn |
| Mar 31, 2014 | 1.81 Mn |
| Dec 31, 2013 | 1.84 Mn |
| Sep 30, 2013 | 1.86 Mn |
| Jun 30, 2013 | 1.59 Mn |
| Mar 31, 2013 | 1.55 Mn |
| Dec 31, 2012 | 1.55 Mn |
| Sep 30, 2011 | 4.20 Mn |
| Sep 30, 2010 | 1.05 Mn |
API Access
Full House Resorts Depreciation and Depletion 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=depreciation-and-depletion&ticker=FLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=FLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();