Caesars Entertainment (CZR) Price to Earnings (2014 - 2024)
Caesars Entertainment's (CZR) Price to Earnings was 12.39 for Q1 2024, down 3.7% from the prior quarter.
Analysis
Caesars Entertainment (CZR) Price to Earnings (2014 - 2024) Analysis & Trends
For FY2023, Price to Earnings at Caesars Entertainment was 12.87.
- By year, Price to Earnings came in at 57.11 in FY2019 (+94.1%).
- The Q1 2024 figure ranks as the lowest quarterly Price to Earnings since Q3 2016.
- Per Business Quant data, the three quarters before Q1 2024 came in at 12.87 (Q4 2023), 14.08 (Q3 2023) and 15.95 (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 23.47 Bn | 9.89 Bn | 1.48 Bn |
| 2 | DraftKings | 16.53 Bn | 12.19 Bn | 551.45 Mn |
| 3 | Flutter Entertainment | 12.99 Bn | 6.73 Bn | 1.71 Bn |
| 4 | Madison Square Garden Sports | 9.80 Bn | 9.40 Bn | 119.21 Mn |
| 5 | Life Time Group Holdings | 9.15 Bn | 8.39 Bn | 412.26 Mn |
| 6 | Wynn Resorts | 7.85 Bn | 1.40 Bn | 758.95 Mn |
| 7 | MGM Resorts International | 7.67 Bn | -517.04 Mn | 1.98 Bn |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn |
| 9 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn |
| 10 | Super Group (SGHC) | 5.70 Bn | 3.69 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 12.39 |
| Dec 31, 2023 | 12.87 |
| Sep 30, 2023 | 14.08 |
| Jun 30, 2023 | 15.95 |
| Dec 31, 2019 | 57.15 |
| Sep 30, 2019 | 32.88 |
| Jun 30, 2019 | 37.70 |
| Mar 31, 2019 | 32.11 |
| Dec 31, 2018 | 29.36 |
| Sep 30, 2018 | 20.41 |
| Jun 30, 2018 | 17.15 |
| Mar 31, 2018 | 27.32 |
| Dec 31, 2017 | 34.71 |
| Mar 31, 2017 | 40.39 |
| Dec 31, 2016 | 32.55 |
| Sep 30, 2016 | 4.95 |
| Jun 30, 2016 | 5.51 |
| Mar 31, 2016 | 4.34 |
| Dec 31, 2015 | 4.51 |
| Sep 30, 2014 | 30.58 |
API Access
Caesars Entertainment 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=CZR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "CZR", "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=CZR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();