Full House Resorts (FLL) Price to Earnings (2011 - 2022)
Full House Resorts' Price to Earnings was 38.56 in Q2 2022, up 50.1% from 25.68 a year earlier and up 78.3% from the prior quarter.
Analysis
Full House Resorts (FLL) Price to Earnings (2011 - 2022) Analysis & Trends
For FY2021, Price to Earnings at Full House Resorts came in at 35.42, down 95.1% from FY2020.
- In earlier years, Price to Earnings was 725.16 in FY2020.
- The Q2 2022 figure marks the highest quarterly Price to Earnings since Q1 2021.
- Per Business Quant data, FLL's Price to Earnings in the three quarters before Q2 2022 was 21.63 (Q1 2022), 35.42 (Q4 2021) and 35.75 (Q3 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 23.78 Bn | 10.19 Bn | 1.48 Bn |
| 2 | DraftKings | 17.20 Bn | 12.86 Bn | 551.45 Mn |
| 3 | Flutter Entertainment | 13.27 Bn | 7.01 Bn | 1.71 Bn |
| 4 | Madison Square Garden Sports | 9.61 Bn | 9.21 Bn | 119.21 Mn |
| 5 | Life Time Group Holdings | 9.01 Bn | 8.24 Bn | 412.26 Mn |
| 6 | Wynn Resorts | 7.99 Bn | 1.55 Bn | 758.95 Mn |
| 7 | MGM Resorts International | 7.66 Bn | -519.56 Mn | 1.98 Bn |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn |
| 9 | Caesars Entertainment | 6.03 Bn | 2.66 Bn | 1.50 Bn |
| 10 | Full House Resorts | 52.02 Mn | -84.35 Mn | 40.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 38.56 |
| Mar 31, 2022 | 21.63 |
| Dec 31, 2021 | 35.42 |
| Sep 30, 2021 | 35.75 |
| Jun 30, 2021 | 25.68 |
| Mar 31, 2021 | 219.63 |
| Dec 31, 2020 | 725.16 |
| Mar 31, 2016 | 252.93 |
| Jun 30, 2013 | 28.31 |
| Mar 31, 2013 | 20.48 |
| Dec 31, 2012 | 2,315.07 |
| Sep 30, 2012 | 2.40 |
| Jun 30, 2012 | 2.08 |
| Mar 31, 2012 | 1.99 |
| Dec 31, 2011 | 20.96 |
| Sep 30, 2011 | 13.40 |
| Jun 30, 2011 | 8.18 |
| Mar 31, 2011 | 9.44 |
API Access
Full House Resorts Price to Earnings 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=price-to-earnings&ticker=FLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=FLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();