United Parks & Resorts (PRKS) Price to Book (2013 - 2021)
United Parks & Resorts' Price to Book was 372.46 in Q3 2021.
Analysis
United Parks & Resorts (PRKS) Price to Book (2013 - 2021) Analysis & Trends
For FY2019, Price to Book at United Parks & Resorts came in at 11.84, up 68.9% from FY2018.
- Price to Book has now increased for five consecutive years.
- In earlier years, Price to Book was 7.01 in FY2018 (+64.3%), 4.26 in FY2017 (+17.0%), 3.65 in FY2016 (+6.1%) and 3.44 in FY2015 (+24.7%).
- The Q3 2021 figure marks the highest quarterly Price to Book in data going back to Q2 2013.
- The best year-over-year quarter for Price to Book over five years was Q2 2020 (growth of 585.4%); the worst was Q1 2020 (a decline of 33.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.50 Bn | 10.92 Bn | 1.48 Bn |
| 2 | DraftKings | 16.89 Bn | 12.55 Bn | 551.45 Mn |
| 3 | Flutter Entertainment | 12.94 Bn | 6.68 Bn | 1.71 Bn |
| 4 | Madison Square Garden Sports | 9.77 Bn | 9.37 Bn | 119.21 Mn |
| 5 | Life Time Group Holdings | 8.91 Bn | 8.14 Bn | 412.26 Mn |
| 6 | Wynn Resorts | 8.21 Bn | 1.77 Bn | 758.95 Mn |
| 7 | MGM Resorts International | 7.81 Bn | -371.12 Mn | 1.98 Bn |
| 8 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn |
| 9 | Super Group (SGHC) | 5.74 Bn | 3.73 Bn | - |
| 10 | United Parks & Resorts | 1.47 Bn | 1.14 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 372.46 |
| Jun 30, 2020 | 127.09 |
| Mar 31, 2020 | 6.33 |
| Dec 31, 2019 | 11.84 |
| Sep 30, 2019 | 8.94 |
| Jun 30, 2019 | 18.54 |
| Mar 31, 2019 | 9.58 |
| Dec 31, 2018 | 7.01 |
| Sep 30, 2018 | 7.39 |
| Jun 30, 2018 | 7.11 |
| Mar 31, 2018 | 5.51 |
| Dec 31, 2017 | 4.26 |
| Sep 30, 2017 | 3.92 |
| Jun 30, 2017 | 6.16 |
| Mar 31, 2017 | 4.08 |
| Dec 31, 2016 | 3.65 |
| Sep 30, 2016 | 2.62 |
| Jun 30, 2016 | 3.20 |
| Mar 31, 2016 | 4.66 |
| Dec 31, 2015 | 3.44 |
API Access
United Parks & Resorts Price to Book 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-book&ticker=PRKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "PRKS", "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-book&ticker=PRKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();