Park Hotels & Resorts (PK) Depreciation & Amortization (CF) (2016 - 2026)
Park Hotels & Resorts (PK) recorded Depreciation & Amortization (CF) of $66 million in Q2 2026, down 45.9% from $122 million a year earlier but up 3.1% from the prior quarter.
Park Hotels & Resorts (PK) Depreciation & Amortization (CF) (2016 - 2026) Analysis & Trends
On a TTM basis, Park Hotels & Resorts' Depreciation & Amortization (CF) came in at $275 million as of Jun 30, 2026, down 13.8% year-over-year; for FY2025, it was $336 million, up 30.7% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $257 million in FY2024 (-10.5%), $287 million in FY2023 (+6.7%), $269 million in FY2022 (-4.3%) and $281 million in FY2021 (-5.7%).
- Quarterly Depreciation & Amortization (CF) has ranged from $63 million in Q3 2024 to $122 million in Q2 2025 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in four of the last eight quarters, with growth averaging 4.6%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 90.6% in Q2 2025, against a decline of 45.9% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $64 million (Q1 2026), $67 million (Q4 2025) and $78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 737.76 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 689.52 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 456.32 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 644.68 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 287.76 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 407.71 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 185.61 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 998,000.00 |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 246.38 Mn |
| 10 | Park Hotels & Resorts | 3.10 Bn | 2.12 Bn | 232.00 Mn | 66.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.00 Mn |
| Mar 31, 2026 | 64.00 Mn |
| Dec 31, 2025 | 67.00 Mn |
| Sep 30, 2025 | 78.00 Mn |
| Jun 30, 2025 | 122.00 Mn |
| Mar 31, 2025 | 69.00 Mn |
| Dec 31, 2024 | 65.00 Mn |
| Sep 30, 2024 | 63.00 Mn |
| Jun 30, 2024 | 64.00 Mn |
| Mar 31, 2024 | 65.00 Mn |
| Dec 31, 2023 | 94.00 Mn |
| Sep 30, 2023 | 65.00 Mn |
| Jun 30, 2023 | 64.00 Mn |
| Mar 31, 2023 | 64.00 Mn |
| Dec 31, 2022 | 65.00 Mn |
| Sep 30, 2022 | 67.00 Mn |
| Jun 30, 2022 | 68.00 Mn |
| Mar 31, 2022 | 69.00 Mn |
| Dec 31, 2021 | 68.00 Mn |
| Sep 30, 2021 | 68.00 Mn |
Park Hotels & Resorts Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=PK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=PK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();