Host Hotels & Resorts (HST) Gains from Sales and Divestitures (2009 - 2019)
Host Hotels & Resorts (HST) reported Gains from Sales and Divestitures of $274 million for Q3 2019, down 49.9% from $547 million a year earlier but up 380.7% from the prior quarter.
Host Hotels & Resorts (HST) Gains from Sales and Divestitures (2009 - 2019) Analysis & Trends
Over the twelve months ended Sep 30, 2019, Host Hotels & Resorts' Gains from Sales and Divestitures came in at $571 million, down 14.8% year-over-year; for FY2018, it was $902 million, up 735.2% from FY2017.
- Gains from Sales and Divestitures has a five-year compound annual growth rate of 93.8% (FY2013 to FY2018).
- By year, Gains from Sales and Divestitures came in at $108 million in FY2017 (-57.3%), $253 million in FY2016 (+166.3%), $95 million in FY2015 (-59.7%) and $236 million in FY2014 (+615.2%).
- Five-year quarterly Gains from Sales and Divestitures spans a low of $3 million in Q4 2017 and a high of $547 million in Q3 2018.
- Year over year, Gains from Sales and Divestitures gained in two of the last five quarters, with growth averaging 245.0%.
- The high point for year-over-year Gains from Sales and Divestitures in five years was Q3 2018 (growth of 827.1%); the low point was Q1 2015 (a decline of 96.4%).
- Per Business Quant data, the three quarters before Q3 2019 came in at $57 million (Q2 2019), $5 million (Q1 2019) and $235 million (Q4 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 165.31 Bn | 146.80 Bn | 1.39 Bn |
| 2 | Prologis | 124.18 Bn | 119.22 Bn | - |
| 3 | Simon Property | 64.55 Bn | 60.40 Bn | - |
| 4 | Realty Income | 51.65 Bn | 49.88 Bn | - |
| 5 | Public Storage | 50.71 Bn | 49.70 Bn | - |
| 6 | Ventas | 41.48 Bn | 40.17 Bn | - |
| 7 | Extra Space Storage | 28.27 Bn | 28.27 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.03 Bn | 23.14 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.70 Bn | 22.48 Bn | - |
| 10 | Host Hotels & Resorts | 15.77 Bn | 10.81 Bn | 609.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 274.00 Mn |
| Jun 30, 2019 | 57.00 Mn |
| Mar 31, 2019 | 5.00 Mn |
| Dec 31, 2018 | 235.00 Mn |
| Sep 30, 2018 | 547.00 Mn |
| Mar 31, 2018 | 120.00 Mn |
| Dec 31, 2017 | 3.00 Mn |
| Sep 30, 2017 | 59.00 Mn |
| Jun 30, 2017 | 29.00 Mn |
| Mar 31, 2017 | 17.00 Mn |
| Dec 31, 2016 | 8.00 Mn |
| Sep 30, 2016 | 14.00 Mn |
| Jun 30, 2016 | 172.00 Mn |
| Mar 31, 2016 | 59.00 Mn |
| Dec 31, 2015 | 33.00 Mn |
| Sep 30, 2015 | 5.00 Mn |
| Jun 30, 2015 | 53.00 Mn |
| Mar 31, 2015 | 4.00 Mn |
| Dec 31, 2014 | 124.00 Mn |
| Sep 30, 2014 | 1.00 Mn |
Host Hotels & Resorts Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=HST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "HST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=HST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();