Ashford Hospitality Trust (AHT) EV to FCF (2011 - 2020)
Ashford Hospitality Trust's (AHT) EV to FCF came in at -6.15 for Q1 2020, compared with 31.55 a year earlier.
Analysis
Ashford Hospitality Trust (AHT) EV to FCF (2011 - 2020) Analysis & Trends
For the trailing twelve months through Mar 31, 2020, EV to FCF at Ashford Hospitality Trust was -42.62; for FY2019, it was 5.12.
- In prior years, Ashford Hospitality Trust's EV to FCF was 17.55 in FY2015.
- The Q1 2020 figure stands as the lowest quarterly EV to FCF in data going back to Q2 2011.
- According to Business Quant data, EV to FCF for the three prior quarters was 5.12 (Q4 2019), 5.24 (Q3 2019) and 36.84 (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Ashford Hospitality Trust | 15.35 Mn | -284.37 Mn | 96.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | -6.15 |
| Dec 31, 2019 | 5.12 |
| Sep 30, 2019 | 5.24 |
| Jun 30, 2019 | 36.84 |
| Mar 31, 2019 | 31.55 |
| Sep 30, 2016 | 6.68 |
| Jun 30, 2016 | 6.47 |
| Mar 31, 2016 | 13.85 |
| Dec 31, 2015 | 17.55 |
| Sep 30, 2015 | 61.69 |
| Mar 31, 2015 | 81.16 |
| Sep 30, 2014 | 65.56 |
| Jun 30, 2014 | 38.33 |
| Mar 31, 2014 | 25.00 |
| Dec 31, 2013 | 12.17 |
| Sep 30, 2013 | 10.79 |
| Jun 30, 2013 | 8.64 |
| Mar 31, 2013 | 8.24 |
| Dec 31, 2012 | 7.93 |
| Sep 30, 2012 | 10.52 |
API Access
Ashford Hospitality Trust EV to FCF 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=ev-to-fcf&ticker=AHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "ticker": "AHT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-fcf&ticker=AHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();