Hudson Pacific Properties (HPP) Interest Expenses (2010 - 2026)
Hudson Pacific Properties' Interest Expenses came in at $37.99 million for Q1 2026, down 12.7% from $43.51 million a year earlier and down 2.2% from the prior quarter.
Hudson Pacific Properties (HPP) Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Hudson Pacific Properties reported Interest Expenses of $166.71 million, down 5.7% year-over-year; for FY2025, it came in at $172.22 million, down 2.9% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $177.39 million in FY2024 (-17.3%), $214.42 million in FY2023 (+43.0%), $149.9 million in FY2022 (+22.9%) and $121.94 million in FY2021 (+7.1%).
- The Q1 2026 figure represents the lowest quarterly Interest Expenses since Q3 2022.
- Year-over-year, Interest Expenses has declined for three consecutive quarters, with an average decline of 9.4% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in Q1 2023 (growth of 74.5%), and the weakest in Q2 2024 (a decline of 19.2%).
- Business Quant data shows HPP's Interest Expenses at $38.85 million (Q4 2025), $41.73 million (Q3 2025) and $48.14 million (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 312.08 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Hudson Pacific Properties | 625.95 Mn | 675.83 Mn | - | 37.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 37.99 Mn |
| Dec 31, 2025 | 38.85 Mn |
| Sep 30, 2025 | 41.73 Mn |
| Jun 30, 2025 | 48.14 Mn |
| Mar 31, 2025 | 43.51 Mn |
| Dec 31, 2024 | 44.14 Mn |
| Sep 30, 2024 | 45.01 Mn |
| Jun 30, 2024 | 44.16 Mn |
| Mar 31, 2024 | 44.09 Mn |
| Dec 31, 2023 | 52.38 Mn |
| Sep 30, 2023 | 53.58 Mn |
| Jun 30, 2023 | 54.65 Mn |
| Mar 31, 2023 | 53.81 Mn |
| Dec 31, 2022 | 48.09 Mn |
| Sep 30, 2022 | 37.26 Mn |
| Jun 30, 2022 | 33.72 Mn |
| Mar 31, 2022 | 30.84 Mn |
| Dec 31, 2021 | 30.14 Mn |
| Sep 30, 2021 | 30.83 Mn |
| Jun 30, 2021 | 30.69 Mn |
Hudson Pacific Properties Interest 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=interest-expenses&ticker=HPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=HPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();