Hudson Pacific Properties (HPP) Liabilities from Discontinued Operations (2012 - 2025)
Hudson Pacific Properties (HPP) recorded Liabilities from Discontinued Operations of $510,000 in Q1 2025, down 98.4% from the prior quarter.
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Analysis
Hudson Pacific Properties (HPP) Liabilities from Discontinued Operations (2012 - 2025) Analysis & Trends
At the end of FY2024, Hudson Pacific Properties reported Liabilities from Discontinued Operations of $31.12 million.
- The Q1 2025 figure is the lowest quarterly Liabilities from Discontinued Operations since Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 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 |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Hudson Pacific Properties | 625.95 Mn | 675.83 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 510,000.00 |
| Dec 31, 2024 | 31.12 Mn |
| Sep 30, 2024 | 31.06 Mn |
| Jun 30, 2019 | 104,000.00 |
| Mar 31, 2019 | 732,000.00 |
| Jun 30, 2018 | 3.55 Mn |
| Mar 31, 2018 | 630,000.00 |
| Dec 31, 2017 | 4.90 Mn |
| Sep 30, 2017 | 224.03 Mn |
| Dec 31, 2016 | 236.62 Mn |
| Sep 30, 2016 | 14.54 Mn |
| Jun 30, 2016 | 5.27 Mn |
| Mar 31, 2016 | 262,000.00 |
| Dec 31, 2015 | 17.58 Mn |
| Sep 30, 2015 | 357,000.00 |
| Jun 30, 2015 | 275,000.00 |
| Mar 31, 2015 | 326,000.00 |
| Dec 31, 2014 | 42.85 Mn |
| Sep 30, 2014 | 361,000.00 |
| Jun 30, 2014 | 113,000.00 |
API Access
Hudson Pacific Properties Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=HPP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "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=liabilities-from-discontinued-operations&ticker=HPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();