Park Hotels & Resorts (PK) Operating Expenses (2016 - 2026)
Park Hotels & Resorts (PK) recorded Operating Expenses of $583 million in Q2 2026, down 6.6% from $624 million a year earlier but up 4.3% from the prior quarter.
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Analysis
Park Hotels & Resorts (PK) Operating Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Park Hotels & Resorts' Operating Expenses came in at $2.51 billion as of Jun 30, 2026, up 4.8% year-over-year; for FY2025, it came in at $2.63 billion, up 15.7% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $2.28 billion in FY2024 (-12.2%), $2.59 billion in FY2023 (+16.8%), $2.22 billion in FY2022 (+44.4%) and $1.54 billion in FY2021 (-27.4%).
- Quarterly Operating Expenses has ranged from $426 million in Q3 2021 to $812 million in Q2 2023 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with growth averaging 4.2%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 66.0% in Q1 2022, against a decline of 28.6% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $559 million (Q1 2026), $804 million (Q4 2025) and $567 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 566.18 Mn |
| 10 | Park Hotels & Resorts | 3.14 Bn | 2.15 Bn | 232.00 Mn | 583.00 Mn |
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 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=operating-expenses&ticker=PK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=PK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();