Hudson Pacific Properties (HPP) Operating Margin (2009 - 2021)
Hudson Pacific Properties' Operating Margin came in at 20.14% for Q3 2018, up 1.11 percentage points from 19.03% a year earlier but down 0.29 percentage points from the prior quarter.
Hudson Pacific Properties (HPP) Operating Margin (2009 - 2021) Analysis & Trends
Over the trailing twelve months to Sep 30, 2018, Hudson Pacific Properties reported Operating Margin of 21.01%, up 4.06 percentage points year-over-year; for FY2017, it was 18.76%, up 4.78 percentage points from FY2016.
- Operating Margin carries a five-year change of +9.87 percentage points (FY2012 to FY2017).
- Going back by year, Operating Margin was 13.98% in FY2016 (+4.88 pp), 9.10% in FY2015 (-10.11 pp), 19.21% in FY2014 (+5.61 pp) and 13.60% in FY2013 (+4.71 pp).
- The five-year range for quarterly Operating Margin is 2.75% (Q3 2015) to 23.15% (Q4 2017).
- Year-over-year, Operating Margin has increased for ten consecutive quarters, with an average year-over-year change of +4.41 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q4 2013 (a gain of 13.19 percentage points), and the weakest in Q3 2015 (a drop of 15.77 percentage points).
- Business Quant data shows HPP's Operating Margin at 20.43% (Q2 2018), 20.16% (Q1 2018) and 23.15% (Q4 2017) in the three quarters before Q3 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn | 14.28% |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - | 43.76% |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - | 44.33% |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn | 23.20% |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - | - |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn | 14.38% |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn | 39.50% |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - | - |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn | 44.04% |
| 10 | Hudson Pacific Properties | 486.33 Mn | 18.26 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | -83.80% |
| Jun 30, 2021 | -84.82% |
| Mar 31, 2021 | -84.10% |
| Sep 30, 2020 | -85.38% |
| Jun 30, 2020 | -82.56% |
| Mar 31, 2020 | -80.93% |
| Sep 30, 2019 | -79.90% |
| Jun 30, 2019 | -80.54% |
| Mar 31, 2019 | -80.31% |
| Sep 30, 2018 | 20.14% |
| Jun 30, 2018 | 20.43% |
| Mar 31, 2018 | 20.16% |
| Dec 31, 2017 | 23.15% |
| Sep 30, 2017 | 19.03% |
| Jun 30, 2017 | 15.57% |
| Mar 31, 2017 | 16.94% |
| Dec 31, 2016 | 16.06% |
| Sep 30, 2016 | 14.42% |
| Jun 30, 2016 | 12.84% |
| Mar 31, 2016 | 12.38% |
Hudson Pacific Properties Operating 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=operating-margin&ticker=HPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=HPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();