Office Properties Income Trust (OPI) Change in Receivables (2010 - 2012)
Office Properties Income Trust's Change in Receivables was -$1.39 million in Q3 2012, compared with $606,000 a year earlier.
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Analysis
Office Properties Income Trust (OPI) Change in Receivables (2010 - 2012) Analysis & Trends
On a trailing twelve-month basis, Office Properties Income Trust's Change in Receivables was $763,000 through Sep 30, 2012, up 45.9% year-over-year; for FY2011, it came in at $8.07 million, up 42.6% from FY2010.
- In earlier years, Change in Receivables was $5.66 million in FY2010 (-24.0%) and $7.45 million in FY2009.
- Quarterly Change in Receivables has moved between -$3.4 million (Q1 2012) and $6.27 million (Q3 2010) over five years.
- Per Business Quant data, OPI's Change in Receivables in the three quarters before Q3 2012 was -$81,000 (Q2 2012), -$3.4 million (Q1 2012) and $5.63 million (Q4 2011).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (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 | - | -57.42 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 9.90 Mn |
| 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2012 | -1.39 Mn |
| Jun 30, 2012 | -81,000.00 |
| Mar 31, 2012 | -3.40 Mn |
| Dec 31, 2011 | 5.63 Mn |
| Sep 30, 2011 | 606,000.00 |
| Jun 30, 2011 | 191,000.00 |
| Mar 31, 2011 | 1.65 Mn |
| Dec 31, 2010 | -1.92 Mn |
| Sep 30, 2010 | 6.27 Mn |
API Access
Office Properties Income Trust Change in Receivables 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=change-in-receivables&ticker=OPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=OPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();