Invitation Homes (INVH) Interest Expense (in Operating Expenses) (2016 - 2018)
Invitation Homes (INVH) reported Interest Expense (in Operating Expenses) of $97.56 million for Q3 2018, up 0.3% from the prior quarter.
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Analysis
Invitation Homes (INVH) Interest Expense (in Operating Expenses) (2016 - 2018) Analysis & Trends
Over the twelve months ended Sep 30, 2018, Invitation Homes' Interest Expense (in Operating Expenses) came in at $361.33 million; for FY2017, it was $256.97 million, down 10.2% from FY2016.
- By year, Interest Expense (in Operating Expenses) came in at $286.05 million in FY2016.
- Per Business Quant data, the three quarters before Q3 2018 came in at $97.23 million (Q2 2018), $92.3 million (Q1 2018) and $74.24 million (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Expense (Op.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 177.74 Bn | 163.76 Bn | 1.47 Bn | - |
| 2 | Prologis | 120.05 Bn | 114.00 Bn | - | - |
| 3 | Simon Property | 74.18 Bn | 70.24 Bn | - | - |
| 4 | Public Storage | 62.09 Bn | 60.82 Bn | - | 102.53 Mn |
| 5 | Realty Income | 55.76 Bn | 54.03 Bn | - | 333.56 Mn |
| 6 | Ventas | 45.60 Bn | 44.27 Bn | - | 161.39 Mn |
| 7 | Extra Space Storage | 33.58 Bn | 32.49 Bn | 650.96 Mn | - |
| 8 | Vici Properties | 27.29 Bn | 25.64 Bn | 1.06 Bn | - |
| 9 | Vivmark Residential | 24.52 Bn | 24.30 Bn | - | - |
| 10 | Invitation Homes | 15.95 Bn | 15.55 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 97.56 Mn |
| Jun 30, 2018 | 97.23 Mn |
| Mar 31, 2018 | 92.30 Mn |
| Dec 31, 2017 | 74.24 Mn |
| Dec 31, 2016 | 76.88 Mn |
API Access
Invitation Homes Interest Expense (in 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=interest-expense-in-operating-expenses&ticker=INVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-in-operating-expenses", "ticker": "INVH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expense-in-operating-expenses&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();