Park Hotels & Resorts Inc. (PK) Total Revenue (2016 - 2026)
Analysis
Park Hotels & Resorts Inc. (PK) Total Revenue (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 680.00 Mn |
| Mar 31, 2026 | 622.00 Mn |
| Dec 31, 2025 | 629.00 Mn |
| Sep 30, 2025 | 610.00 Mn |
| Jun 30, 2025 | 672.00 Mn |
| Mar 31, 2025 | 630.00 Mn |
| Dec 31, 2024 | 625.00 Mn |
| Sep 30, 2024 | 649.00 Mn |
| Jun 30, 2024 | 686.00 Mn |
| Mar 31, 2024 | 639.00 Mn |
| Dec 31, 2023 | 657.00 Mn |
| Sep 30, 2023 | 679.00 Mn |
| Jun 30, 2023 | 714.00 Mn |
| Mar 31, 2023 | 648.00 Mn |
| Dec 31, 2022 | 665.00 Mn |
| Sep 30, 2022 | 662.00 Mn |
| Jun 30, 2022 | 695.00 Mn |
| Mar 31, 2022 | 479.00 Mn |
| Dec 31, 2021 | 451.00 Mn |
| Sep 30, 2021 | 423.00 Mn |
API Access
Park Hotels & Resorts Inc. Total Revenue 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-revenue&ticker=PK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-revenue", "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-revenue&ticker=PK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();