Realty Income (O) Non-cash Items (2012 - 2018)
Realty Income's (O) quarterly Non-cash Items came in at -$1.8 million in Q3 2018, down 43.72% year-over-year from -$3.1 million in Q3 2017, and up 29.5% quarter-over-quarter from -$2.5 million in Q2 2018.
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Analysis
Realty Income (O) Non-cash Items (2012 - 2018) Analysis & Trends
Realty Income has disclosed Non-cash Items across 7 years of filings, most recently posting -$1.8 million for Q3 2018.
- In Q3 2018, Non-cash Items fell 43.72% year-over-year to -$1.8 million; the TTM figure through Sep 2018 stood at -$6.9 million (down 29.34% YoY), while the FY2017 annual figure was -$3.9 million, up 61.33% from the prior year.
- Non-cash Items came in at -$1.8 million for Q3 2018 at Realty Income, up from -$2.5 million in the prior quarter.
- In the past five years, Non-cash Items ranged from a high of -$221000.0 in Q2 2017 to a low of -$3.1 million in Q1 2016.
- Average Non-cash Items over 5 years is -$1.9 million, with a median of -$1.8 million recorded in 2014.
- Year-over-year, Non-cash Items soared 89.86% in 2017 and sank 1024.43% in 2018.
- Over 5 years, Non-cash Items stood at -$1.5 million in 2014, then plunged by 47.12% to -$2.1 million in 2015, then declined by 19.86% to -$2.6 million in 2016, then surged by 55.5% to -$1.1 million in 2017, then slumped by 53.15% to -$1.8 million in 2018.
- Per Business Quant data, the three most recent Non-cash Items figures were -$1.8 million in Q3 2018, -$2.5 million in Q2 2018, and -$1.5 million in Q1 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();