Office Properties Income Trust (OPI) Operating Margin (2010 - 2018)
Office Properties Income Trust's Operating Margin came in at -4.06% for Q3 2018, down 27.94 percentage points from 23.89% a year earlier and down 23.76 percentage points from the prior quarter.
Office Properties Income Trust (OPI) Operating Margin (2010 - 2018) Analysis & Trends
Over the trailing twelve months to Sep 30, 2018, Office Properties Income Trust reported Operating Margin of 6.04%, down 18.94 percentage points year-over-year; for FY2017, it came in at 17.16%, down 8.67 percentage points from FY2016.
- Operating Margin has declined in each of the last five years, with a five-year change of -15.13 percentage points (FY2012 to FY2017).
- Going back by year, Operating Margin was 25.83% in FY2016 (-0.72 pp), 26.54% in FY2015 (-1.95 pp), 28.49% in FY2014 (-3.28 pp) and 31.78% in FY2013 (-0.51 pp).
- The Q3 2018 figure represents the lowest quarterly Operating Margin in data going back to Q2 2010.
- Year-over-year, Operating Margin has declined for four consecutive quarters, with an average year-over-year change of -9.91 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q3 2017 (a gain of 0.34 percentage points), and the weakest in Q3 2018 (a drop of 27.94 percentage points).
- Business Quant data shows OPI's Operating Margin at 19.71% (Q2 2018), 5.79% (Q1 2018) and 2.48% (Q4 2017) in the three quarters before Q3 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 51.59% |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 43.38% |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 37.85% |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Office Properties Income Trust | 1.17 Bn | 735.36 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | -4.06% |
| Jun 30, 2018 | 19.71% |
| Mar 31, 2018 | 5.79% |
| Dec 31, 2017 | 2.48% |
| Sep 30, 2017 | 23.89% |
| Jun 30, 2017 | 24.09% |
| Mar 31, 2017 | 26.05% |
| Dec 31, 2016 | 25.93% |
| Sep 30, 2016 | 23.55% |
| Jun 30, 2016 | 27.32% |
| Mar 31, 2016 | 26.52% |
| Dec 31, 2015 | 25.83% |
| Sep 30, 2015 | 25.34% |
| Jun 30, 2015 | 27.45% |
| Mar 31, 2015 | 27.52% |
| Dec 31, 2014 | 28.60% |
| Sep 30, 2014 | 25.61% |
| Jun 30, 2014 | 31.04% |
| Mar 31, 2014 | 28.82% |
| Dec 31, 2013 | 28.98% |
Office Properties Income Trust 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=OPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "OPI", "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=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();