Park Hotels & Resorts (PK) Price to Earnings (2017 - 2025)
Park Hotels & Resorts' Price to Earnings came in at 35.26 for Q2 2025, up 244.8% from 10.23 a year earlier and up 109.9% from the prior quarter.
Analysis
Park Hotels & Resorts (PK) Price to Earnings (2017 - 2025) Analysis & Trends
For FY2024, Park Hotels & Resorts' Price to Earnings was 13.44, down 59.4% from FY2023.
- Going back by year, Price to Earnings was 33.12 in FY2023 (+103.1%) and 16.31 in FY2022.
- The Q2 2025 figure represents the highest quarterly Price to Earnings since Q1 2024.
- Year-over-year, Price to Earnings increased in three of the last five quarters, with growth averaging 101.8%.
- Business Quant data shows PK's Price to Earnings at 16.80 (Q1 2025), 13.44 (Q4 2024) and 8.74 (Q3 2024) in the three quarters before Q2 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | Park Hotels & Resorts | 3.12 Bn | 2.14 Bn | 232.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 35.26 |
| Mar 31, 2025 | 16.80 |
| Dec 31, 2024 | 13.44 |
| Sep 30, 2024 | 8.74 |
| Jun 30, 2024 | 10.23 |
| Mar 31, 2024 | 40.02 |
| Dec 31, 2023 | 33.12 |
| Mar 31, 2023 | 10.58 |
| Dec 31, 2022 | 16.31 |
| Sep 30, 2022 | 41.50 |
| Dec 31, 2019 | 20.24 |
| Sep 30, 2019 | 25.22 |
| Jun 30, 2019 | 19.57 |
| Mar 31, 2019 | 14.99 |
| Dec 31, 2018 | 11.07 |
| Sep 30, 2018 | 13.81 |
| Jun 30, 2018 | 11.65 |
| Mar 31, 2018 | 12.78 |
| Dec 31, 2017 | 2.35 |
| Sep 30, 2017 | 2.29 |
API Access
Park Hotels & 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=PK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "PK", "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=PK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();