Hudson Pacific Properties (HPP) Depreciation & Amortization (CF) (2010 - 2026)
Hudson Pacific Properties (HPP) recorded Depreciation & Amortization (CF) of $80.72 million in Q1 2026, down 13.3% from $93.09 million a year earlier and down 13.2% from the prior quarter.
Hudson Pacific Properties (HPP) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a TTM basis, Hudson Pacific Properties' Depreciation & Amortization (CF) came in at $362.6 million as of Mar 31, 2026, up 2.0% year-over-year; for FY2025, it came in at $374.97 million, up 5.8% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $354.43 million in FY2024 (-10.9%), $397.85 million in FY2023 (+6.6%), $373.22 million in FY2022 (+8.6%) and $343.61 million in FY2021 (+14.7%).
- The Q1 2026 figure is the lowest quarterly Depreciation & Amortization (CF) since Q4 2020.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in four of the last eight quarters, with an average decline of 3.5%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 18.0% in Q3 2021, against a decline of 13.7% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $93.05 million (Q4 2025), $94.09 million (Q3 2025) and $94.75 million (Q2 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 | Hudson Pacific Properties | 625.95 Mn | 675.83 Mn | - | 80.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 80.72 Mn |
| Dec 31, 2025 | 93.05 Mn |
| Sep 30, 2025 | 94.09 Mn |
| Jun 30, 2025 | 94.75 Mn |
| Mar 31, 2025 | 93.09 Mn |
| Dec 31, 2024 | 89.10 Mn |
| Sep 30, 2024 | 86.67 Mn |
| Jun 30, 2024 | 86.80 Mn |
| Mar 31, 2024 | 91.85 Mn |
| Dec 31, 2023 | 103.19 Mn |
| Sep 30, 2023 | 98.58 Mn |
| Jun 30, 2023 | 98.94 Mn |
| Mar 31, 2023 | 97.14 Mn |
| Dec 31, 2022 | 96.52 Mn |
| Sep 30, 2022 | 93.07 Mn |
| Jun 30, 2022 | 91.44 Mn |
| Mar 31, 2022 | 92.19 Mn |
| Dec 31, 2021 | 88.11 Mn |
| Sep 30, 2021 | 88.57 Mn |
| Jun 30, 2021 | 84.18 Mn |
Hudson Pacific Properties 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=HPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "HPP", "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=HPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();