Office Properties Income Trust (OPI) Liabilities from Discontinued Operations (2012 - 2017)
Office Properties Income Trust (OPI) posted Liabilities from Discontinued Operations of $81,000 for Q2 2017, down 2.4% from $83,000 a year earlier but up 55.8% from the prior quarter.
Office Properties Income Trust (OPI) Liabilities from Discontinued Operations (2012 - 2017) Analysis & Trends
At the end of FY2016, Office Properties Income Trust's Liabilities from Discontinued Operations came in at $45,000, down 16.7% from FY2015.
- Annual Liabilities from Discontinued Operations has declined for four consecutive years, with a four-year compound annual growth rate of -37.7% (FY2012 to FY2016).
- In prior years, Office Properties Income Trust's Liabilities from Discontinued Operations was $54,000 in FY2015 (-64.0%), $150,000 in FY2014 (-45.7%), $276,000 in FY2013 (-7.4%) and $298,000 in FY2012.
- Quarterly Liabilities from Discontinued Operations has run from a low of $45,000 in Q4 2016 to a high of $725,000 in Q3 2014 over five years.
- On a year-over-year basis, Liabilities from Discontinued Operations has declined in each of the last eight quarters, with an average decline of 46.4% over the last eight quarters.
- The strongest year-over-year quarter for Liabilities from Discontinued Operations in the past five years was Q3 2014, with growth of 151.7%; the weakest was Q3 2015, with a decline of 86.9%.
- According to Business Quant data, Liabilities from Discontinued Operations for the three prior quarters was $52,000 (Q1 2017), $45,000 (Q4 2016) and $61,000 (Q3 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | Office Properties Income Trust | 1.17 Bn | 735.36 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 81,000.00 |
| Mar 31, 2017 | 52,000.00 |
| Dec 31, 2016 | 45,000.00 |
| Sep 30, 2016 | 61,000.00 |
| Jun 30, 2016 | 83,000.00 |
| Mar 31, 2016 | 75,000.00 |
| Dec 31, 2015 | 54,000.00 |
| Sep 30, 2015 | 95,000.00 |
| Jun 30, 2015 | 277,000.00 |
| Mar 31, 2015 | 211,000.00 |
| Dec 31, 2014 | 150,000.00 |
| Sep 30, 2014 | 725,000.00 |
| Jun 30, 2014 | 262,000.00 |
| Mar 31, 2014 | 276,000.00 |
| Dec 31, 2013 | 276,000.00 |
| Sep 30, 2013 | 288,000.00 |
| Dec 31, 2012 | 298,000.00 |
Office Properties Income Trust 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=OPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "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=liabilities-from-discontinued-operations&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();