Invitation Homes (INVH) Income After Tax (2016 - 2018)
Invitation Homes (INVH) reported Income After Tax of -$13.8 million for Q3 2018, compared with -$26.88 million a year earlier.
Invitation Homes (INVH) Income After Tax (2016 - 2018) Analysis & Trends
Over the twelve months ended Sep 30, 2018, Invitation Homes' Income After Tax came in at -$110.01 million; for FY2017, it was -$138.76 million.
- By year, Income After Tax came in at -$95.27 million in FY2016 and -$159.36 million in FY2015.
- The Q3 2018 figure ranks as the highest quarterly Income After Tax since Q2 2017.
- Per Business Quant data, the three quarters before Q3 2018 came in at -$19.76 million (Q2 2018), -$24.82 million (Q1 2018) and -$51.63 million (Q4 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 177.74 Bn | 163.76 Bn | 1.47 Bn | 330.83 Mn |
| 2 | Prologis | 120.05 Bn | 114.00 Bn | - | 879.90 Mn |
| 3 | Simon Property | 74.18 Bn | 70.24 Bn | - | 532.13 Mn |
| 4 | Public Storage | 62.09 Bn | 60.82 Bn | - | 378.35 Mn |
| 5 | Realty Income | 55.76 Bn | 54.03 Bn | - | 432.14 Mn |
| 6 | Ventas | 45.60 Bn | 44.27 Bn | - | 71.93 Mn |
| 7 | Extra Space Storage | 33.58 Bn | 32.49 Bn | 650.96 Mn | 256.32 Mn |
| 8 | Vici Properties | 27.29 Bn | 25.64 Bn | 1.06 Bn | 346.85 Mn |
| 9 | Vivmark Residential | 24.52 Bn | 24.30 Bn | - | 120.06 Mn |
| 10 | Invitation Homes | 15.95 Bn | 15.55 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | -13.80 Mn |
| Jun 30, 2018 | -19.76 Mn |
| Mar 31, 2018 | -24.82 Mn |
| Dec 31, 2017 | -51.63 Mn |
| Sep 30, 2017 | -26.88 Mn |
| Jun 30, 2017 | -3.76 Mn |
| Mar 31, 2017 | -56.49 Mn |
| Dec 31, 2016 | -31.53 Mn |
| Sep 30, 2016 | -23.86 Mn |
| Jun 30, 2016 | -20.87 Mn |
| Mar 31, 2016 | -19.01 Mn |
Invitation Homes Income After Tax 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=profit-after-tax&ticker=INVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();