Park Hotels & Resorts (PK) Selling, General & Administrative (2017 - 2026)
Park Hotels & Resorts (PK) reported Selling, General & Administrative of $20 million for Q2 2026, up 5.3% from $19 million a year earlier and up 11.1% from the prior quarter.
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Analysis
Park Hotels & Resorts (PK) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Park Hotels & Resorts' Selling, General & Administrative came in at $73 million, up 2.8% year-over-year; for FY2025, it was $72 million, up 4.3% from FY2024.
- Selling, General & Administrative has increased for four consecutive years, with a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $69 million in FY2024 (+6.2%), $65 million in FY2023 (+3.2%), $63 million in FY2022 (+1.6%) and $62 million in FY2021 (-1.6%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q4 2020.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 3.8%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2022 (growth of 14.3%); the low point was Q4 2021 (a decline of 33.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18 million (Q1 2026), $18 million (Q4 2025) and $17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 67.49 Mn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 129.63 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 54.30 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 57.61 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 44.37 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 46.99 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 47.32 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 15.43 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 16.64 Mn |
| 10 | Park Hotels & Resorts | 3.12 Bn | 2.14 Bn | 232.00 Mn | 20.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.00 Mn |
| Mar 31, 2026 | 18.00 Mn |
| Dec 31, 2025 | 18.00 Mn |
| Sep 30, 2025 | 17.00 Mn |
| Jun 30, 2025 | 19.00 Mn |
| Mar 31, 2025 | 18.00 Mn |
| Dec 31, 2024 | 17.00 Mn |
| Sep 30, 2024 | 17.00 Mn |
| Jun 30, 2024 | 18.00 Mn |
| Mar 31, 2024 | 17.00 Mn |
| Dec 31, 2023 | 15.00 Mn |
| Sep 30, 2023 | 18.00 Mn |
| Jun 30, 2023 | 16.00 Mn |
| Mar 31, 2023 | 16.00 Mn |
| Dec 31, 2022 | 15.00 Mn |
| Sep 30, 2022 | 16.00 Mn |
| Jun 30, 2022 | 16.00 Mn |
| Mar 31, 2022 | 16.00 Mn |
| Dec 31, 2021 | 14.00 Mn |
| Sep 30, 2021 | 14.00 Mn |
API Access
Park Hotels & Resorts Selling, General & Administrative 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=selling-general-and-administrative&ticker=PK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();