Hudson Pacific Properties (HPP) Change in Accured Expenses (2010 - 2026)
Hudson Pacific Properties (HPP) recorded Change in Accured Expenses of $16.31 million in Q1 2026, up 10.9% from $14.7 million a year earlier.
Hudson Pacific Properties (HPP) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Hudson Pacific Properties' Change in Accured Expenses came in at -$19.02 million as of Mar 31, 2026; for FY2025, it was -$20.62 million.
- Across earlier years, Change in Accured Expenses came in at $4.35 million in FY2024, -$3.12 million in FY2023, $11.72 million in FY2022 and -$38,000 in FY2021.
- The Q1 2026 figure is the highest quarterly Change in Accured Expenses since Q3 2024.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last five quarters, with growth averaging 17.3%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 98.5% in Q3 2024, against a decline of 68.1% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -$38.71 million (Q4 2025), $12.08 million (Q3 2025) and -$8.7 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 187.04 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 130.70 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 144.79 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | -25.21 Mn |
| 10 | Hudson Pacific Properties | 622.16 Mn | 672.04 Mn | - | 16.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 16.31 Mn |
| Dec 31, 2025 | -38.71 Mn |
| Sep 30, 2025 | 12.08 Mn |
| Jun 30, 2025 | -8.70 Mn |
| Mar 31, 2025 | 14.70 Mn |
| Dec 31, 2024 | -41.15 Mn |
| Sep 30, 2024 | 28.08 Mn |
| Jun 30, 2024 | 7.09 Mn |
| Mar 31, 2024 | 10.34 Mn |
| Dec 31, 2023 | -40.25 Mn |
| Sep 30, 2023 | 14.14 Mn |
| Jun 30, 2023 | 7.70 Mn |
| Mar 31, 2023 | 15.29 Mn |
| Dec 31, 2022 | -52.09 Mn |
| Sep 30, 2022 | 44.38 Mn |
| Jun 30, 2022 | -2.54 Mn |
| Mar 31, 2022 | 21.96 Mn |
| Dec 31, 2021 | -55.77 Mn |
| Sep 30, 2021 | 30.43 Mn |
| Jun 30, 2021 | -8.13 Mn |
Hudson Pacific Properties Change in Accured 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=change-in-accured-expenses&ticker=HPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=HPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();