Realty Income (O) Loans - Net (2011 - 2018)
Realty Income (O) posted Loans - Net of $5.24 million for Q1 2018, down 0.6% from the prior quarter.
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Analysis
Realty Income (O) Loans - Net (2011 - 2018) Analysis & Trends
At the end of FY2017, Realty Income's Loans - Net came in at $5.27 million, down 2.3% from FY2016.
- Annual Loans - Net shows a five-year compound annual growth rate of -31.6% (FY2012 to FY2017).
- In prior years, Realty Income's Loans - Net was $5.39 million in FY2016 and $48.84 million in FY2013 (+39.1%).
- The Q1 2018 figure stands as the lowest quarterly Loans - Net since Q1 2012.
- According to Business Quant data, Loans - Net for the three prior quarters was $5.27 million (Q4 2017), $5.3 million (Q3 2017) and $5.33 million (Q2 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.27 Bn | 144.76 Bn | 1.39 Bn | 2.95 Bn |
| 2 | Prologis | 123.38 Bn | 118.42 Bn | - | - |
| 3 | Simon Property | 64.69 Bn | 60.54 Bn | - | - |
| 4 | Realty Income | 51.11 Bn | 49.33 Bn | - | - |
| 5 | Public Storage | 50.26 Bn | 49.25 Bn | - | 173.30 Mn |
| 6 | Ventas | 40.91 Bn | 39.60 Bn | - | - |
| 7 | Extra Space Storage | 28.00 Bn | 28.00 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.79 Bn | 22.91 Bn | 1.05 Bn | 22.20 Bn |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - | - |
| 10 | Essex Property Trust | 17.33 Bn | 17.10 Bn | - | 96.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 5.24 Mn |
| Dec 31, 2017 | 5.27 Mn |
| Sep 30, 2017 | 5.30 Mn |
| Jun 30, 2017 | 5.33 Mn |
| Dec 31, 2016 | 5.39 Mn |
| Dec 31, 2013 | 48.84 Mn |
| Jun 30, 2013 | 48.89 Mn |
| Mar 31, 2013 | 44.81 Mn |
| Dec 31, 2012 | 35.13 Mn |
| Mar 31, 2012 | 4.70 Mn |
| Dec 31, 2011 | 2.18 Mn |
API Access
Realty Income Loans - Net 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=loans-net&ticker=O&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "ticker": "O", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=loans-net&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();