Office Properties Income Trust (OPI) Property Operating Expenses (2010 - 2018)
Office Properties Income Trust's Property Operating Expenses was $6.69 million in Q1 2018, up 45.2% from $4.61 million a year earlier but down 1.8% from the prior quarter.
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Analysis
Office Properties Income Trust (OPI) Property Operating Expenses (2010 - 2018) Analysis & Trends
On a trailing twelve-month basis, Office Properties Income Trust's Property Operating Expenses was $23.08 million through Mar 31, 2018, up 30.4% year-over-year; for FY2017, it came in at $21 million, up 21.6% from FY2016.
- Property Operating Expenses shows a five-year compound annual growth rate of 5.9% (FY2012 to FY2017).
- In earlier years, Property Operating Expenses was $17.27 million in FY2016 (-3.6%), $17.92 million in FY2015 (-7.5%), $19.37 million in FY2014 (+13.2%) and $17.12 million in FY2013 (+8.6%).
- Quarterly Property Operating Expenses has moved between $3.67 million (Q2 2016) and $6.81 million (Q4 2017) over five years.
- Compared with a year earlier, Property Operating Expenses was higher in five of the last eight quarters, with growth averaging 16.7%.
- The best year-over-year quarter for Property Operating Expenses over five years was Q4 2017 (growth of 72.9%); the worst was Q1 2015 (a decline of 19.8%).
- Per Business Quant data, OPI's Property Operating Expenses in the three quarters before Q1 2018 was $6.81 million (Q4 2017), $5.41 million (Q3 2017) and $4.17 million (Q2 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 2.25 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 511.72 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 180.83 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 333.19 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 122.39 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 1.10 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 158.13 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 245.28 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 238.84 Mn |
| 10 | Office Properties Income Trust | 334.79 Mn | 172.56 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 6.69 Mn |
| Dec 31, 2017 | 6.81 Mn |
| Sep 30, 2017 | 5.41 Mn |
| Jun 30, 2017 | 4.17 Mn |
| Mar 31, 2017 | 4.61 Mn |
| Dec 31, 2016 | 3.94 Mn |
| Sep 30, 2016 | 5.48 Mn |
| Jun 30, 2016 | 3.67 Mn |
| Mar 31, 2016 | 4.17 Mn |
| Dec 31, 2015 | 4.13 Mn |
| Sep 30, 2015 | 5.19 Mn |
| Jun 30, 2015 | 4.00 Mn |
| Mar 31, 2015 | 4.57 Mn |
| Dec 31, 2014 | 4.30 Mn |
| Sep 30, 2014 | 5.33 Mn |
| Jun 30, 2014 | 4.05 Mn |
| Mar 31, 2014 | 5.70 Mn |
| Dec 31, 2013 | 4.05 Mn |
| Sep 30, 2013 | 5.36 Mn |
| Jun 30, 2013 | 3.86 Mn |
API Access
Office Properties Income Trust Property Operating 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=property-operating-expenses&ticker=OPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "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=property-operating-expenses&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();