Park Hotels & Resorts Inc. (PK) Total Operating Expenses (2016 - 2026)
Powered by 
Analysis
Park Hotels & Resorts Inc. (PK) Total Operating Expenses (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 583.00 Mn |
| Mar 31, 2026 | 559.00 Mn |
| Dec 31, 2025 | 804.00 Mn |
| Sep 30, 2025 | 567.00 Mn |
| Jun 30, 2025 | 624.00 Mn |
| Mar 31, 2025 | 639.00 Mn |
| Dec 31, 2024 | 566.00 Mn |
| Sep 30, 2024 | 569.00 Mn |
| Jun 30, 2024 | 580.00 Mn |
| Mar 31, 2024 | 561.00 Mn |
| Dec 31, 2023 | 602.00 Mn |
| Sep 30, 2023 | 594.00 Mn |
| Jun 30, 2023 | 812.00 Mn |
| Mar 31, 2023 | 583.00 Mn |
| Dec 31, 2022 | 581.00 Mn |
| Sep 30, 2022 | 584.00 Mn |
| Jun 30, 2022 | 575.00 Mn |
| Mar 31, 2022 | 478.00 Mn |
| Dec 31, 2021 | 449.00 Mn |
| Sep 30, 2021 | 426.00 Mn |
API Access
Park Hotels & Resorts Inc. Total 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=total-operating-expenses&ticker=PK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-operating-expenses&ticker=PK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();