Service Properties Trust (SVC) Price to Earnings (2010 - 2023)
Service Properties Trust's (SVC) Price to Earnings came in at 615.28 for Q1 2023.
Powered by 
Analysis
Service Properties Trust (SVC) Price to Earnings (2010 - 2023) Analysis & Trends
For FY2019, Service Properties Trust's Price to Earnings stood at 77.07, down 27.1% from FY2018.
- Annual Price to Earnings has declined for four consecutive years.
- In prior years, Service Properties Trust's Price to Earnings was 105.71 in FY2018 (-12.2%), 120.35 in FY2017 (-6.5%), 128.77 in FY2016 (-5.3%) and 135.95 in FY2015 (+4.0%).
- The Q1 2023 figure stands as the highest quarterly Price to Earnings since Q1 2020.
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 | Service Properties Trust | 826.39 Mn | 37.35 Mn | 156.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 615.28 |
| Mar 31, 2020 | 14,195.82 |
| Dec 31, 2019 | 77.07 |
| Sep 30, 2019 | 128.00 |
| Jun 30, 2019 | 84.66 |
| Mar 31, 2019 | 65.29 |
| Dec 31, 2018 | 105.71 |
| Sep 30, 2018 | 72.71 |
| Jun 30, 2018 | 79.77 |
| Mar 31, 2018 | 80.65 |
| Dec 31, 2017 | 120.35 |
| Sep 30, 2017 | 101.66 |
| Jun 30, 2017 | 125.23 |
| Mar 31, 2017 | 142.76 |
| Dec 31, 2016 | 128.77 |
| Sep 30, 2016 | 203.82 |
| Jun 30, 2016 | 169.00 |
| Mar 31, 2016 | 128.82 |
| Dec 31, 2015 | 135.95 |
| Sep 30, 2015 | 86.79 |
API Access
Service Properties Trust Price to Earnings 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-earnings&ticker=SVC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "SVC", "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-earnings&ticker=SVC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();