Safehold (SAFE) Property Operating Expenses (2015 - 2018)
Safehold's Property Operating Expenses came in at $37.04 million for Q2 2018, up 6.8% from $34.68 million a year earlier and up 2.4% from the prior quarter.
Safehold (SAFE) Property Operating Expenses (2015 - 2018) Analysis & Trends
Over the trailing twelve months to Jun 30, 2018, Safehold reported Property Operating Expenses of $144.19 million, up 2.4% year-over-year.
- The Q2 2018 figure represents the highest quarterly Property Operating Expenses in data going back to Q2 2015.
- Year-over-year, Property Operating Expenses increased in five of the last six quarters, with growth averaging 2.3%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 2.25 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 511.72 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 180.83 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 333.19 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 122.39 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 1.10 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 158.13 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 245.28 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 238.84 Mn |
| 10 | Safehold | 696.84 Mn | 806.74 Mn | 117.89 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 37.04 Mn |
| Mar 31, 2018 | 36.18 Mn |
| Sep 30, 2017 | 36.28 Mn |
| Jun 30, 2017 | 34.68 Mn |
| Mar 31, 2017 | 35.59 Mn |
| Sep 30, 2016 | 35.24 Mn |
| Jun 30, 2016 | 35.33 Mn |
| Mar 31, 2016 | 34.31 Mn |
| Sep 30, 2015 | 35.15 Mn |
| Jun 30, 2015 | 36.36 Mn |
Safehold Property Operating Expenses 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=property-operating-expenses&ticker=SAFE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "ticker": "SAFE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-operating-expenses&ticker=SAFE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();