Ashford Hospitality Trust (AHT) Price to Book (2010 - 2021)
Ashford Hospitality Trust's (AHT) Price to Book was 8.25 for Q3 2021.
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Analysis
Ashford Hospitality Trust (AHT) Price to Book (2010 - 2021) Analysis & Trends
For FY2019, Price to Book at Ashford Hospitality Trust was 1.06, up 20.0% from FY2018.
- By year, Price to Book came in at 0.88 in FY2018 (-13.9%), 1.02 in FY2017 (+9.7%), 0.93 in FY2016 (+27.2%) and 0.73 in FY2015 (-57.9%).
- The Q3 2021 figure ranks as the highest quarterly Price to Book in data going back to Q4 2010.
- The high point for year-over-year Price to Book in five years was Q2 2018 (growth of 97.0%); the low point was Q1 2020 (a decline of 69.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | Ashford Hospitality Trust | 14.64 Mn | -285.09 Mn | 96.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 8.25 |
| Mar 31, 2020 | 0.39 |
| Dec 31, 2019 | 1.06 |
| Sep 30, 2019 | 1.08 |
| Jun 30, 2019 | 0.82 |
| Mar 31, 2019 | 1.29 |
| Dec 31, 2018 | 0.88 |
| Sep 30, 2018 | 1.25 |
| Jun 30, 2018 | 1.54 |
| Mar 31, 2018 | 1.08 |
| Dec 31, 2017 | 1.02 |
| Sep 30, 2017 | 0.92 |
| Jun 30, 2017 | 0.78 |
| Mar 31, 2017 | 0.81 |
| Dec 31, 2016 | 0.93 |
| Sep 30, 2016 | 0.75 |
| Jun 30, 2016 | 0.64 |
| Mar 31, 2016 | 0.78 |
| Dec 31, 2015 | 0.73 |
| Sep 30, 2015 | 0.67 |
API Access
Ashford Hospitality Trust Price to Book 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=price-to-book&ticker=AHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=AHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();