Park Hotels & Resorts (PK) Return on Sales [ROS] (2016 - 2026)
Park Hotels & Resorts (PK) posted Return on Sales [ROS] of 13.97% for Q2 2026, up 4.30 percentage points from 9.67% a year earlier and up 4.00 percentage points from the prior quarter.
Powered by 
Analysis
Park Hotels & Resorts (PK) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Park Hotels & Resorts was 2.05%, down 7.66 percentage points year-over-year; for FY2025, it was -1.30%, down 16.34 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +139.78 percentage points (FY2020 to FY2025).
- In prior years, Park Hotels & Resorts' Return on Sales [ROS] was 15.04% in FY2024 (+2.33 pp), 12.71% in FY2023 (+0.88 pp), 11.84% in FY2022 (+24.98 pp) and -13.14% in FY2021 (+127.94 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q3 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -9.88 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2021, with a gain of 206.89 percentage points; the weakest was Q4 2025, with a drop of 39.35 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 9.97% (Q1 2026), -26.07% (Q4 2025) and 9.67% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn | 14.28% |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - | 43.76% |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - | 44.33% |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn | 23.20% |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - | 48.67% |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn | 14.38% |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn | 39.50% |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - | -52.20% |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn | 44.04% |
| 10 | Park Hotels & Resorts | 3.32 Bn | 2.32 Bn | 171.00 Mn | 6.31% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.31% |
| Jun 30, 2026 | 13.97% |
| Mar 31, 2026 | 9.97% |
| Dec 31, 2025 | -26.07% |
| Sep 30, 2025 | 9.67% |
| Jun 30, 2025 | 9.67% |
| Mar 31, 2025 | 1.11% |
| Dec 31, 2024 | 13.28% |
| Sep 30, 2024 | 14.64% |
| Jun 30, 2024 | 17.64% |
| Mar 31, 2024 | 14.40% |
| Dec 31, 2023 | 42.01% |
| Sep 30, 2023 | 12.52% |
| Jun 30, 2023 | -13.73% |
| Mar 31, 2023 | 12.35% |
| Dec 31, 2022 | 12.63% |
| Sep 30, 2022 | 13.90% |
| Jun 30, 2022 | 17.12% |
| Mar 31, 2022 | 0.21% |
| Dec 31, 2021 | 0.44% |
API Access
Park Hotels & Resorts Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();