Realty Income (O) Non-cash Items (2012 - 2018)
Realty Income's Non-cash Items came in at -$1.75 million for Q3 2018, compared with -$1.22 million a year earlier.
Realty Income (O) Non-cash Items (2012 - 2018) Analysis & Trends
Over the trailing twelve months to Sep 30, 2018, Realty Income reported Non-cash Items of -$6.93 million; for FY2017, it came in at -$3.93 million.
- Going back by year, Non-cash Items was -$10.15 million in FY2016, -$8.61 million in FY2015, -$6.85 million in FY2014 and -$5.55 million in FY2013.
- The five-year range for quarterly Non-cash Items is -$3.1 million (Q1 2016) to -$221,000 (Q2 2017).
- Business Quant data shows O's Non-cash Items at -$2.49 million (Q2 2018), -$1.54 million (Q1 2018) and -$1.14 million (Q4 2017) in the three quarters before Q3 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 163.27 Bn | 144.76 Bn | 1.39 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 | - |
| 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 |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - |
| 10 | Essex Property Trust | 17.33 Bn | 17.10 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | -1.75 Mn |
| Jun 30, 2018 | -2.49 Mn |
| Mar 31, 2018 | -1.54 Mn |
| Dec 31, 2017 | -1.14 Mn |
| Sep 30, 2017 | -1.22 Mn |
| Jun 30, 2017 | -221,000.00 |
| Mar 31, 2017 | -1.34 Mn |
| Dec 31, 2016 | -2.57 Mn |
| Sep 30, 2016 | -2.30 Mn |
| Jun 30, 2016 | -2.18 Mn |
| Mar 31, 2016 | -3.10 Mn |
| Dec 31, 2015 | -2.15 Mn |
| Sep 30, 2015 | -1.52 Mn |
| Jun 30, 2015 | -2.49 Mn |
| Mar 31, 2015 | -2.45 Mn |
| Dec 31, 2014 | -1.46 Mn |
| Sep 30, 2014 | -1.68 Mn |
| Jun 30, 2014 | -1.76 Mn |
| Mar 31, 2014 | -1.94 Mn |
| Dec 31, 2013 | -1.69 Mn |
Realty Income Non-cash Items 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=non-cash-items&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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=non-cash-items&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();