Office Properties Income Trust (OPI) Long-Term Investments (2012 - 2018)
Office Properties Income Trust's Long-Term Investments was $43.67 million in Q4 2018, down 90.7% from $467.5 million a year earlier and down 90.4% from the prior quarter.
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Analysis
Office Properties Income Trust (OPI) Long-Term Investments (2012 - 2018) Analysis & Trends
From Q4 2012 onward, Office Properties Income Trust has reported Long-Term Investments for 20 quarters.
- Long-Term Investments has now declined for four consecutive years, though with a five-year compound annual growth rate of 48.6% (FY2013 to FY2018).
- In earlier years, Long-Term Investments was $467.5 million in FY2017 (-4.1%), $487.71 million in FY2016 (-0.7%), $491.37 million in FY2015 (-27.8%) and $680.14 million in FY2014.
- The Q4 2018 figure marks the lowest quarterly Long-Term Investments since Q4 2013.
- Compared with a year earlier, Long-Term Investments has declined for 14 straight quarters, with an average decline of 14.5% over the last eight quarters.
- The year-over-year decline in Long-Term Investments has ranged between 0.7% (Q4 2016) and 90.7% (Q4 2018) over the last five years.
- Per Business Quant data, OPI's Long-Term Investments in the three quarters before Q4 2018 was $453.28 million (Q3 2018), $456.76 million (Q2 2018) and $465.13 million (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 2.00 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 5.56 Bn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 364.79 Mn |
| 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 | - | 323.34 Mn |
| 10 | Office Properties Income Trust | 1.17 Bn | 735.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 43.67 Mn |
| Sep 30, 2018 | 453.28 Mn |
| Jun 30, 2018 | 456.76 Mn |
| Mar 31, 2018 | 465.13 Mn |
| Dec 31, 2017 | 467.50 Mn |
| Sep 30, 2017 | 475.27 Mn |
| Jun 30, 2017 | 477.23 Mn |
| Mar 31, 2017 | 482.10 Mn |
| Dec 31, 2016 | 487.71 Mn |
| Sep 30, 2016 | 491.97 Mn |
| Jun 30, 2016 | 492.76 Mn |
| Mar 31, 2016 | 493.26 Mn |
| Dec 31, 2015 | 491.37 Mn |
| Sep 30, 2015 | 511.87 Mn |
| Jun 30, 2015 | 514.32 Mn |
| Mar 31, 2015 | 721.28 Mn |
| Dec 31, 2014 | 680.14 Mn |
| Sep 30, 2014 | 684.47 Mn |
| Dec 31, 2013 | 6.03 Mn |
| Dec 31, 2012 | 5.75 Mn |
API Access
Office Properties Income Trust Long-Term Investments 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=long-term-investments&ticker=OPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();