Realty Income (O) Prepaid Assets (2010 - 2018)
Realty Income's (O) quarterly Prepaid Assets came in at $16.2 million in Q1 2018, down 3.98% year-over-year from $16.9 million in Q1 2017, and up 26.35% quarter-over-quarter from $12.9 million in Q4 2017.
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Analysis
Realty Income (O) Prepaid Assets (2010 - 2018) Analysis & Trends
Realty Income has disclosed Prepaid Assets across 9 years of filings, most recently posting $16.2 million for Q1 2018.
- In Q1 2018, Prepaid Assets fell 3.98% year-over-year to $16.2 million; the TTM figure through Mar 2018 stood at $16.2 million (down 3.98% YoY), while the FY2017 annual figure was $12.9 million, down 10.79% from the prior year.
- Prepaid Assets came in at $16.2 million for Q1 2018 at Realty Income, up from $12.9 million in the prior quarter.
- In the past five years, Prepaid Assets ranged from a high of $16.9 million in Q1 2017 to a low of $12.9 million in Q4 2017.
- Average Prepaid Assets over 5 years is $14.4 million, with a median of $14.2 million recorded in 2016.
- Year-over-year, Prepaid Assets grew 21.1% in 2014 and slipped 10.79% in 2017.
- Over 5 years, Prepaid Assets stood at $14.1 million in 2014, then advanced by 0.86% to $14.3 million in 2015, then gained by 1.04% to $14.4 million in 2016, then decreased by 10.79% to $12.9 million in 2017, then gained by 26.35% to $16.2 million in 2018.
- Per Business Quant data, the three most recent Prepaid Assets figures were $16.2 million in Q1 2018, $12.9 million in Q4 2017, and $13.3 million in Q3 2017.
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 |
|---|---|
| Mar 31, 2018 | 16.24 Mn |
| Dec 31, 2017 | 12.85 Mn |
| Sep 30, 2017 | 13.27 Mn |
| Jun 30, 2017 | 14.39 Mn |
| Mar 31, 2017 | 16.91 Mn |
| Dec 31, 2016 | 14.41 Mn |
| Sep 30, 2016 | 14.21 Mn |
| Jun 30, 2016 | 13.69 Mn |
| Mar 31, 2016 | 16.00 Mn |
| Dec 31, 2015 | 14.26 Mn |
| Sep 30, 2015 | 13.29 Mn |
| Jun 30, 2015 | 12.99 Mn |
| Mar 31, 2015 | 15.17 Mn |
| Dec 31, 2014 | 14.14 Mn |
| Mar 31, 2014 | 14.02 Mn |
| Dec 31, 2013 | 11.67 Mn |
| Jun 30, 2013 | 13.02 Mn |
| Mar 31, 2013 | 12.15 Mn |
| Dec 31, 2012 | 9.49 Mn |
| Mar 31, 2012 | 9.42 Mn |
API Access
Realty Income Prepaid Assets 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=prepaid-assets&ticker=O&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();