Hudson Pacific Properties (HPP) Net Margin (2009 - 2026)
Hudson Pacific Properties' Net Margin was -29.22% in Q1 2026, up 8.43 percentage points from -37.64% a year earlier and up 79.33 percentage points from the prior quarter.
Hudson Pacific Properties (HPP) Net Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hudson Pacific Properties' Net Margin was -67.61% through Mar 31, 2026, down 20.83 percentage points year-over-year; for FY2025, it came in at -68.85%, down 25.61 percentage points from FY2024.
- Net Margin has now declined for four consecutive years, with a five-year change of -68.90 percentage points (FY2020 to FY2025).
- In earlier years, Net Margin was -43.24% in FY2024 (-23.06 pp), -20.18% in FY2023 (-14.68 pp), -5.51% in FY2022 (-6.18 pp) and 0.68% in FY2021 (+0.63 pp).
- The Q1 2026 figure marks the highest quarterly Net Margin since Q2 2024.
- Compared with a year earlier, Net Margin was higher in 1 of the last eight quarters, with an average year-over-year change of -19.43 percentage points.
- The best year-over-year quarter for Net Margin over five years was Q1 2026 (a gain of 8.43 percentage points); the worst was Q4 2023 (a drop of 39.42 percentage points).
- Per Business Quant data, HPP's Net Margin in the three quarters before Q1 2026 was -108.55% (Q4 2025), -73.13% (Q3 2025) and -43.76% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn | 10.67% |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - | 34.17% |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - | 27.50% |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn | 22.86% |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - | 24.91% |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn | 6.13% |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn | 3.57% |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - | -61.52% |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn | 27.84% |
| 10 | Hudson Pacific Properties | 486.33 Mn | 18.26 Mn | - | -120.54% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -120.54% |
| Jun 30, 2026 | -55.54% |
| Mar 31, 2026 | -29.22% |
| Dec 31, 2025 | -108.55% |
| Sep 30, 2025 | -73.13% |
| Jun 30, 2025 | -43.76% |
| Mar 31, 2025 | -37.64% |
| Dec 31, 2024 | -79.65% |
| Sep 30, 2024 | -48.86% |
| Jun 30, 2024 | -21.57% |
| Mar 31, 2024 | -24.39% |
| Dec 31, 2023 | -43.86% |
| Sep 30, 2023 | -16.24% |
| Jun 30, 2023 | -14.75% |
| Mar 31, 2023 | -8.10% |
| Dec 31, 2022 | -4.44% |
| Sep 30, 2022 | -6.64% |
| Jun 30, 2022 | -2.96% |
| Mar 31, 2022 | -8.09% |
| Dec 31, 2021 | 3.35% |
Hudson Pacific Properties Net Margin 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=net-margin&ticker=HPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=HPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();