Full House Resorts (FLL) Depreciation & Amortization - Total (2012 - 2016)
Full House Resorts' Depreciation & Amortization - Total came in at $2.13 million for Q4 2016, up 28.1% from $1.66 million a year earlier but down 3.2% from the prior quarter.
Full House Resorts (FLL) Depreciation & Amortization - Total (2012 - 2016) Analysis & Trends
For FY2016, Full House Resorts' Depreciation & Amortization - Total was $7.9 million, up 23.6% from FY2015.
- Depreciation & Amortization - Total carries a five-year compound annual growth rate of 13.4% (FY2011 to FY2016).
- Going back by year, Depreciation & Amortization - Total was $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%).
- The five-year range for quarterly Depreciation & Amortization - Total is $1.49 million (Q1 2015) to $2.2 million (Q3 2016).
- Year-over-year, Depreciation & Amortization - Total has increased for five consecutive quarters, with growth averaging 7.4% over the last eight quarters.
- The fastest year-over-year change in Depreciation & Amortization - Total over five years came in Q3 2016 (growth of 28.9%), and the weakest in Q1 2015 (a decline of 17.8%).
- Business Quant data shows FLL's Depreciation & Amortization - Total at $2.2 million (Q3 2016), $1.89 million (Q2 2016) and $1.69 million (Q1 2016) in the three quarters before Q4 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (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 | 45.00 Mn |
| 10 | Full House Resorts | 19.79 Mn | -116.36 Mn | 42.29 Mn | - |
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 |
Full House Resorts Depreciation & Amortization - Total 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-amortization-total&ticker=FLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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-amortization-total&ticker=FLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();