Park Hotels & Resorts Inc. (PK) Property Operating Expenses (2016 - 2026)
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Analysis
Park Hotels & Resorts Inc. (PK) Property Operating Expenses (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.00 Mn |
| Mar 31, 2026 | 54.00 Mn |
| Dec 31, 2025 | 53.00 Mn |
| Sep 30, 2025 | 56.00 Mn |
| Jun 30, 2025 | 50.00 Mn |
| Mar 31, 2025 | 57.00 Mn |
| Dec 31, 2024 | 57.00 Mn |
| Sep 30, 2024 | 65.00 Mn |
| Jun 30, 2024 | 57.00 Mn |
| Mar 31, 2024 | 52.00 Mn |
| Dec 31, 2023 | 59.00 Mn |
| Sep 30, 2023 | 59.00 Mn |
| Jun 30, 2023 | 63.00 Mn |
| Mar 31, 2023 | 60.00 Mn |
| Dec 31, 2022 | 50.00 Mn |
| Sep 30, 2022 | 58.00 Mn |
| Jun 30, 2022 | 65.00 Mn |
| Mar 31, 2022 | 50.00 Mn |
| Dec 31, 2021 | 40.00 Mn |
| Sep 30, 2021 | 51.00 Mn |
API Access
Park Hotels & Resorts Inc. Property Operating Expenses 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-operating-expenses&ticker=PK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "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-operating-expenses&ticker=PK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();