Park Hotels & Resorts (PK) EV to EBIT (2017 - 2026)
Park Hotels & Resorts' EV to EBIT was 49.00 in Q2 2026, up 633.6% from 6.68 a year earlier but down 43.5% from the prior quarter.
Park Hotels & Resorts (PK) EV to EBIT (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Park Hotels & Resorts' EV to EBIT was 36.20 through Jun 30, 2026; for FY2024, it was 6.13, down 14.2% from FY2023.
- In earlier years, EV to EBIT was 7.14 in FY2023 (+25.3%) and 5.70 in FY2022.
- Quarterly EV to EBIT has moved between 4.08 (Q3 2024) and 86.73 (Q1 2026) over five years.
- Compared with a year earlier, EV to EBIT was higher in three of the last six quarters, with growth averaging 113.3%.
- The best year-over-year quarter for EV to EBIT over five years was Q2 2026 (growth of 633.6%); the worst was Q3 2024 (a decline of 66.1%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - |
| 10 | Park Hotels & Resorts | 3.14 Bn | 2.15 Bn | 232.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.00 |
| Mar 31, 2026 | 86.73 |
| Sep 30, 2025 | 8.79 |
| Jun 30, 2025 | 6.68 |
| Mar 31, 2025 | 6.02 |
| Dec 31, 2024 | 6.13 |
| Sep 30, 2024 | 4.08 |
| Jun 30, 2024 | 4.59 |
| Mar 31, 2024 | 9.17 |
| Dec 31, 2023 | 7.14 |
| Sep 30, 2023 | 12.03 |
| Jun 30, 2023 | 11.89 |
| Mar 31, 2023 | 4.64 |
| Dec 31, 2022 | 5.70 |
| Sep 30, 2022 | 6.94 |
| Jun 30, 2022 | 19.78 |
| Dec 31, 2019 | 13.53 |
| Sep 30, 2019 | 14.85 |
| Jun 30, 2019 | 11.95 |
| Mar 31, 2019 | 12.91 |
Park Hotels & Resorts EV to EBIT 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=ev-to-ebit&ticker=PK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=PK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();