Park Hotels & Resorts (PK) EBITDA Margin (2016 - 2026)
Park Hotels & Resorts (PK) posted EBITDA Margin of 23.68% for Q2 2026, down 4.15 percentage points from 27.83% a year earlier but up 3.42 percentage points from the prior quarter.
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Analysis
Park Hotels & Resorts (PK) EBITDA Margin (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Park Hotels & Resorts was 12.87%, down 9.22 percentage points year-over-year; for FY2025, it was 11.92%, down 13.01 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +118.03 percentage points (FY2020 to FY2025).
- In prior years, Park Hotels & Resorts' EBITDA Margin was 24.93% in FY2024 (+1.58 pp), 23.35% in FY2023 (+0.76 pp), 22.59% in FY2022 (+15.10 pp) and 7.49% in FY2021 (+113.59 pp).
- Quarterly EBITDA Margin has run from a low of -15.42% in Q4 2025 to a high of 56.32% in Q4 2023 over five years.
- On a year-over-year basis, EBITDA Margin increased in three of the last eight quarters, with an average year-over-year change of -9.87 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q3 2021, with a gain of 146.44 percentage points; the weakest was Q4 2025, with a drop of 39.10 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 20.26% (Q1 2026), -15.42% (Q4 2025) and 22.46% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | -30.49% |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 80.02% |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 75.19% |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 87.42% |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 61.19% |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 36.41% |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 66.10% |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 69.58% |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Park Hotels & Resorts | 3.14 Bn | 2.15 Bn | 232.00 Mn | 23.68% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.68% |
| Mar 31, 2026 | 20.26% |
| Dec 31, 2025 | -15.42% |
| Sep 30, 2025 | 22.46% |
| Jun 30, 2025 | 27.83% |
| Mar 31, 2025 | 12.06% |
| Dec 31, 2024 | 23.68% |
| Sep 30, 2024 | 24.35% |
| Jun 30, 2024 | 26.97% |
| Mar 31, 2024 | 24.57% |
| Dec 31, 2023 | 56.32% |
| Sep 30, 2023 | 22.09% |
| Jun 30, 2023 | -4.76% |
| Mar 31, 2023 | 22.22% |
| Dec 31, 2022 | 22.41% |
| Sep 30, 2022 | 24.02% |
| Jun 30, 2022 | 26.91% |
| Mar 31, 2022 | 14.61% |
| Dec 31, 2021 | 15.52% |
| Sep 30, 2021 | 12.77% |
API Access
Park Hotels & Resorts EBITDA Margin 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=ebitda-margin&ticker=PK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=PK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();