Park Hotels & Resorts (PK) Property, Plant & Equipment (Net) (2016 - 2026)
Park Hotels & Resorts (PK) recorded Property, Plant & Equipment (Net) of $6.91 billion in Q2 2026, down 3.7% from $7.18 billion a year earlier and down 1.0% from the prior quarter.
Park Hotels & Resorts (PK) Property, Plant & Equipment (Net) (2016 - 2026) Analysis & Trends
At the end of FY2025, Park Hotels & Resorts reported Property, Plant & Equipment (Net) of $6.96 billion, down 6.0% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for six straight years, with a five-year compound annual growth rate of -5.4% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $7.4 billion in FY2024 (-0.8%), $7.46 billion in FY2023 (-10.1%), $8.3 billion in FY2022 (-2.5%) and $8.51 billion in FY2021 (-7.4%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2016.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for 24 consecutive quarters, with an average decline of 3.9% over the last eight quarters.
- The year-over-year decline in Property, Plant & Equipment (Net) has ranged between 0.8% (Q4 2024) and 10.1% (Q4 2023) over the last five years.
- Per Business Quant, the preceding three quarters came in at $6.98 billion (Q1 2026), $6.96 billion (Q4 2025) and $7.17 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (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 | 61.27 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 | 6.91 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.91 Bn |
| Mar 31, 2026 | 6.98 Bn |
| Dec 31, 2025 | 6.96 Bn |
| Sep 30, 2025 | 7.17 Bn |
| Jun 30, 2025 | 7.18 Bn |
| Mar 31, 2025 | 7.32 Bn |
| Dec 31, 2024 | 7.40 Bn |
| Sep 30, 2024 | 7.41 Bn |
| Jun 30, 2024 | 7.42 Bn |
| Mar 31, 2024 | 7.44 Bn |
| Dec 31, 2023 | 7.46 Bn |
| Sep 30, 2023 | 8.03 Bn |
| Jun 30, 2023 | 8.00 Bn |
| Mar 31, 2023 | 8.20 Bn |
| Dec 31, 2022 | 8.30 Bn |
| Sep 30, 2022 | 8.29 Bn |
| Jun 30, 2022 | 8.33 Bn |
| Mar 31, 2022 | 8.47 Bn |
| Dec 31, 2021 | 8.51 Bn |
| Sep 30, 2021 | 8.55 Bn |
Park Hotels & Resorts Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=PK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();